Computer-based representation of physical systems and phenomena such as chemical processes.
Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.
Striated muscle cells found in the heart. They are derived from cardiac myoblasts (MYOBLASTS, CARDIAC).
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Theoretical representations that simulate the behavior or activity of the cardiovascular system, processes, or phenomena; includes the use of mathematical equations, computers and other electronic equipment.
The volume of BLOOD passing through the HEART per unit of time. It is usually expressed as liters (volume) per minute so as not to be confused with STROKE VOLUME (volume per beat).
The hollow, muscular organ that maintains the circulation of the blood.
Any disturbances of the normal rhythmic beating of the heart or MYOCARDIAL CONTRACTION. Cardiac arrhythmias can be classified by the abnormalities in HEART RATE, disorders of electrical impulse generation, or impulse conduction.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Surgery performed on the heart.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Unexpected rapid natural death due to cardiovascular collapse within one hour of initial symptoms. It is usually caused by the worsening of existing heart diseases. The sudden onset of symptoms, such as CHEST PAIN and CARDIAC ARRHYTHMIAS, particularly VENTRICULAR TACHYCARDIA, can lead to the loss of consciousness and cardiac arrest followed by biological death. (from Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 7th ed., 2005)
Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
Three-dimensional representation to show anatomic structures. Models may be used in place of intact animals or organisms for teaching, practice, and study.
A computer based method of simulating or analyzing the behavior of structures or components.
Abrupt changes in the membrane potential that sweep along the CELL MEMBRANE of excitable cells in response to excitation stimuli.
Elements of limited time intervals, contributing to particular results or situations.
The lower right and left chambers of the heart. The right ventricle pumps venous BLOOD into the LUNGS and the left ventricle pumps oxygenated blood into the systemic arterial circulation.
Contractile activity of the MYOCARDIUM.
The passive movement of molecules exceeding the rate expected by simple diffusion. No energy is expended in the process. It is achieved by the introduction of passively diffusing molecules to an enviroment or path that is more favorable to the movement of those molecules. Examples of facilitated diffusion are passive transport of hydrophilic substances across a lipid membrane through hydrophilic pores that traverse the membrane, and the sliding of a DNA BINDING PROTEIN along a strand of DNA.
The muscle tissue of the HEART. It is composed of striated, involuntary muscle cells (MYOCYTES, CARDIAC) connected to form the contractile pump to generate blood flow.
A meshlike structure composed of interconnecting nerve cells that are separated at the synaptic junction or joined to one another by cytoplasmic processes. In invertebrates, for example, the nerve net allows nerve impulses to spread over a wide area of the net because synapses can pass information in any direction.
The properties, processes, and behavior of biological systems under the action of mechanical forces.
Enlargement of the HEART, usually indicated by a cardiothoracic ratio above 0.50. Heart enlargement may involve the right, the left, or both HEART VENTRICLES or HEART ATRIA. Cardiomegaly is a nonspecific symptom seen in patients with chronic systolic heart failure (HEART FAILURE) or several forms of CARDIOMYOPATHIES.
Compression of the heart by accumulated fluid (PERICARDIAL EFFUSION) or blood (HEMOPERICARDIUM) in the PERICARDIUM surrounding the heart. The affected cardiac functions and CARDIAC OUTPUT can range from minimal to total hemodynamic collapse.
Regulation of the rate of contraction of the heart muscles by an artificial pacemaker.
Theoretical representations that simulate psychological processes and/or social processes. These include the use of mathematical equations, computers, and other electronic equipment.
Pathological conditions involving the HEART including its structural and functional abnormalities.
Numeric or quantitative entities, descriptions, properties, relationships, operations, and events.
The basic cellular units of nervous tissue. Each neuron consists of a body, an axon, and dendrites. Their purpose is to receive, conduct, and transmit impulses in the NERVOUS SYSTEM.
Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems.
Procedures in which placement of CARDIAC CATHETERS is performed for therapeutic or diagnostic procedures.
A mechanism of communication within a system in that the input signal generates an output response which returns to influence the continued activity or productivity of that system.
Processes that incorporate some element of randomness, used particularly to refer to a time series of random variables.
A mechanism of communication with a physiological system for homeostasis, adaptation, etc. Physiological feedback is mediated through extensive feedback mechanisms that use physiological cues as feedback loop signals to control other systems.
Cessation of heart beat or MYOCARDIAL CONTRACTION. If it is treated within a few minutes, heart arrest can be reversed in most cases to normal cardiac rhythm and effective circulation.
A purely physical condition which exists within any material because of strain or deformation by external forces or by non-uniform thermal expansion; expressed quantitatively in units of force per unit area.
Relatively permanent change in behavior that is the result of past experience or practice. The concept includes the acquisition of knowledge.
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Recording of the moment-to-moment electromotive forces of the HEART as projected onto various sites on the body's surface, delineated as a scalar function of time. The recording is monitored by a tracing on slow moving chart paper or by observing it on a cardioscope, which is a CATHODE RAY TUBE DISPLAY.
The selecting and organizing of visual stimuli based on the individual's past experience.
Sequential operating programs and data which instruct the functioning of a digital computer.
An impulse-conducting system composed of modified cardiac muscle, having the power of spontaneous rhythmicity and conduction more highly developed than the rest of the heart.
Resistance and recovery from distortion of shape.
The movement and the forces involved in the movement of the blood through the CARDIOVASCULAR SYSTEM.
The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Precursor cells destined to differentiate into cardiac myocytes (MYOCYTES, CARDIAC).
Investigative technique commonly used during ELECTROENCEPHALOGRAPHY in which a series of bright light flashes or visual patterns are used to elicit brain activity.
A heterogeneous condition in which the heart is unable to pump out sufficient blood to meet the metabolic need of the body. Heart failure can be caused by structural defects, functional abnormalities (VENTRICULAR DYSFUNCTION), or a sudden overload beyond its capacity. Chronic heart failure is more common than acute heart failure which results from sudden insult to cardiac function, such as MYOCARDIAL INFARCTION.
A group of diseases in which the dominant feature is the involvement of the CARDIAC MUSCLE itself. Cardiomyopathies are classified according to their predominant pathophysiological features (DILATED CARDIOMYOPATHY; HYPERTROPHIC CARDIOMYOPATHY; RESTRICTIVE CARDIOMYOPATHY) or their etiological/pathological factors (CARDIOMYOPATHY, ALCOHOLIC; ENDOCARDIAL FIBROELASTOSIS).
Processes and properties of the MUSCULOSKELETAL SYSTEM.
The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.
The act, process, or result of passing from one place or position to another. It differs from LOCOMOTION in that locomotion is restricted to the passing of the whole body from one place to another, while movement encompasses both locomotion but also a change of the position of the whole body or any of its parts. Movement may be used with reference to humans, vertebrate and invertebrate animals, and microorganisms. Differentiate also from MOTOR ACTIVITY, movement associated with behavior.
Myosin type II isoforms found in cardiac muscle.
Visualization of the heart structure and cardiac blood flow for diagnostic evaluation or to guide cardiac procedures via techniques including ENDOSCOPY (cardiac endoscopy, sometimes refered to as cardioscopy), RADIONUCLIDE IMAGING; MAGNETIC RESONANCE IMAGING; TOMOGRAPHY; or ULTRASONOGRAPHY.
The domestic dog, Canis familiaris, comprising about 400 breeds, of the carnivore family CANIDAE. They are worldwide in distribution and live in association with people. (Walker's Mammals of the World, 5th ed, p1065)
Cyclopentanophenanthrenes with a 5- or 6-membered lactone ring attached at the 17-position and SUGARS attached at the 3-position. Plants they come from have long been used in congestive heart failure. They increase the force of cardiac contraction without significantly affecting other parameters, but are very toxic at larger doses. Their mechanism of action usually involves inhibition of the NA(+)-K(+)-EXCHANGING ATPASE and they are often used in cell biological studies for that purpose.
The function of opposing or restraining the excitation of neurons or their target excitable cells.
A basic element found in nearly all organized tissues. It is a member of the alkaline earth family of metals with the atomic symbol Ca, atomic number 20, and atomic weight 40. Calcium is the most abundant mineral in the body and combines with phosphorus to form calcium phosphate in the bones and teeth. It is essential for the normal functioning of nerves and muscles and plays a role in blood coagulation (as factor IV) and in many enzymatic processes.
The number of times the HEART VENTRICLES contract per unit of time, usually per minute.
The rate dynamics in chemical or physical systems.
Mental process to visually perceive a critical number of facts (the pattern), such as characters, shapes, displays, or designs.
Computer-assisted study of methods for obtaining useful quantitative solutions to problems that have been expressed mathematically.
Ultrasonic recording of the size, motion, and composition of the heart and surrounding tissues. The standard approach is transthoracic.
Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.
A state of subnormal or depressed cardiac output at rest or during stress. It is a characteristic of CARDIOVASCULAR DISEASES, including congenital, valvular, rheumatic, hypertensive, coronary, and cardiomyopathic. The serious form of low cardiac output is characterized by marked reduction in STROKE VOLUME, and systemic vasoconstriction resulting in cold, pale, and sometimes cyanotic extremities.
The functions and activities of living organisms or their parts involved in generating and responding to electrical charges .
The hemodynamic and electrophysiological action of the HEART VENTRICLES.
Occurrence of heart arrest in an individual when there is no immediate access to medical personnel or equipment.
The scientific disciplines concerned with the embryology, anatomy, physiology, biochemistry, pharmacology, etc., of the nervous system.
The electrical properties, characteristics of living organisms, and the processes of organisms or their parts that are involved in generating and responding to electrical charges.
Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.
A strain of albino rat used widely for experimental purposes because of its calmness and ease of handling. It was developed by the Sprague-Dawley Animal Company.
Application of principles and practices of engineering science to biomedical research and health care.
The study of the generation and behavior of electrical charges in living organisms particularly the nervous system and the effects of electricity on living organisms.
NECROSIS of the MYOCARDIUM caused by an obstruction of the blood supply to the heart (CORONARY CIRCULATION).
The volume of the HEART, usually relating to the volume of BLOOD contained within it at various periods of the cardiac cycle. The amount of blood ejected from a ventricle at each beat is STROKE VOLUME.
The science dealing with the correlation of the physical characteristics of a stimulus, e.g., frequency or intensity, with the response to the stimulus, in order to assess the psychologic factors involved in the relationship.
The physiological mechanisms that govern the rhythmic occurrence of certain biochemical, physiological, and behavioral phenomena.
The geometric and structural changes that the HEART VENTRICLES undergo, usually following MYOCARDIAL INFARCTION. It comprises expansion of the infarct and dilatation of the healthy ventricle segments. While most prevalent in the left ventricle, it can also occur in the right ventricle.
The transference of a heart from one human or animal to another.
Therapy for MOVEMENT DISORDERS, especially PARKINSON DISEASE, that applies electricity via stereotactic implantation of ELECTRODES in specific areas of the BRAIN such as the THALAMUS. The electrodes are attached to a neurostimulator placed subcutaneously.
One of the three polypeptide chains that make up the TROPONIN complex. It inhibits F-actin-myosin interactions.
The hemodynamic and electrophysiological action of the left HEART VENTRICLE. Its measurement is an important aspect of the clinical evaluation of patients with heart disease to determine the effects of the disease on cardiac performance.
The non-genetic biological changes of an organism in response to challenges in its ENVIRONMENT.
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
The motion of fluids, especially noncompressible liquids, under the influence of internal and external forces.
The behaviors of materials under force.
An element with atomic symbol O, atomic number 8, and atomic weight [15.99903; 15.99977]. It is the most abundant element on earth and essential for respiration.
The voltage differences across a membrane. For cellular membranes they are computed by subtracting the voltage measured outside the membrane from the voltage measured inside the membrane. They result from differences of inside versus outside concentration of potassium, sodium, chloride, and other ions across cells' or ORGANELLES membranes. For excitable cells, the resting membrane potentials range between -30 and -100 millivolts. Physical, chemical, or electrical stimuli can make a membrane potential more negative (hyperpolarization), or less negative (depolarization).
The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.
Slow or diminished movement of body musculature. It may be associated with BASAL GANGLIA DISEASES; MENTAL DISORDERS; prolonged inactivity due to illness; and other conditions.
Cells propagated in vitro in special media conducive to their growth. Cultured cells are used to study developmental, morphologic, metabolic, physiologic, and genetic processes, among others.
Developmental abnormalities involving structures of the heart. These defects are present at birth but may be discovered later in life.
Neural tracts connecting one part of the nervous system with another.
Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
The tendency of a phenomenon to recur at regular intervals; in biological systems, the recurrence of certain activities (including hormonal, cellular, neural) may be annual, seasonal, monthly, daily, or more frequently (ultradian).
Specialized junctions at which a neuron communicates with a target cell. At classical synapses, a neuron's presynaptic terminal releases a chemical transmitter stored in synaptic vesicles which diffuses across a narrow synaptic cleft and activates receptors on the postsynaptic membrane of the target cell. The target may be a dendrite, cell body, or axon of another neuron, or a specialized region of a muscle or secretory cell. Neurons may also communicate via direct electrical coupling with ELECTRICAL SYNAPSES. Several other non-synaptic chemical or electric signal transmitting processes occur via extracellular mediated interactions.
Naturally occurring or experimentally induced animal diseases with pathological processes sufficiently similar to those of human diseases. They are used as study models for human diseases.
The study of PHYSICAL PHENOMENA and PHYSICAL PROCESSES as applied to living things.
Signal transduction mechanisms whereby calcium mobilization (from outside the cell or from intracellular storage pools) to the cytoplasm is triggered by external stimuli. Calcium signals are often seen to propagate as waves, oscillations, spikes, sparks, or puffs. The calcium acts as an intracellular messenger by activating calcium-responsive proteins.
The coordination of a sensory or ideational (cognitive) process and a motor activity.
Theoretical representations that simulate the behavior or activity of chemical processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.
Imaging techniques used to colocalize sites of brain functions or physiological activity with brain structures.
An illusion of vision usually affecting spatial relations.
The time from the onset of a stimulus until a response is observed.
Theoretical representations that simulate the behavior or activity of immune system, processes, or phenomena. They include the use of mathematical equations, computers, and other electrical equipment.
The amount of BLOOD pumped out of the HEART per beat, not to be confused with cardiac output (volume/time). It is calculated as the difference between the end-diastolic volume and the end-systolic volume.
The awareness of the spatial properties of objects; includes physical space.
A subtype of striated muscle, attached by TENDONS to the SKELETON. Skeletal muscles are innervated and their movement can be consciously controlled. They are also called voluntary muscles.
The restoration of the sequential order of contraction and relaxation of the HEART ATRIA and HEART VENTRICLES by atrio-biventricular pacing.
Examinations used to diagnose and treat heart conditions.
The sensory discrimination of a pattern shape or outline.
The tendency of a gas or solute to pass from a point of higher pressure or concentration to a point of lower pressure or concentration and to distribute itself throughout the available space. Diffusion, especially FACILITATED DIFFUSION, is a major mechanism of BIOLOGICAL TRANSPORT.
One of the three polypeptide chains that make up the TROPONIN complex. It is a cardiac-specific protein that binds to TROPOMYOSIN. It is released from damaged or injured heart muscle cells (MYOCYTES, CARDIAC). Defects in the gene encoding troponin T result in FAMILIAL HYPERTROPHIC CARDIOMYOPATHY.
Area of the OCCIPITAL LOBE concerned with the processing of visual information relayed via VISUAL PATHWAYS.
The ability to detect sharp boundaries (stimuli) and to detect slight changes in luminance at regions without distinct contours. Psychophysical measurements of this visual function are used to evaluate visual acuity and to detect eye disease.
Awareness of oneself in relation to time, place and person.
The communication from a NEURON to a target (neuron, muscle, or secretory cell) across a SYNAPSE. In chemical synaptic transmission, the presynaptic neuron releases a NEUROTRANSMITTER that diffuses across the synaptic cleft and binds to specific synaptic receptors, activating them. The activated receptors modulate specific ion channels and/or second-messenger systems in the postsynaptic cell. In electrical synaptic transmission, electrical signals are communicated as an ionic current flow across ELECTRICAL SYNAPSES.
The artificial substitution of heart and lung action as indicated for HEART ARREST resulting from electric shock, DROWNING, respiratory arrest, or other causes. The two major components of cardiopulmonary resuscitation are artificial ventilation (RESPIRATION, ARTIFICIAL) and closed-chest CARDIAC MASSAGE.
Tumors in any part of the heart. They include primary cardiac tumors and metastatic tumors to the heart. Their interference with normal cardiac functions can cause a wide variety of symptoms including HEART FAILURE; CARDIAC ARRHYTHMIAS; or EMBOLISM.
Institutions specializing in the care of patients with heart disorders.
The species Oryctolagus cuniculus, in the family Leporidae, order LAGOMORPHA. Rabbits are born in burrows, furless, and with eyes and ears closed. In contrast with HARES, rabbits have 22 chromosome pairs.
Differential response to different stimuli.
The domestic cat, Felis catus, of the carnivore family FELIDAE, comprising over 30 different breeds. The domestic cat is descended primarily from the wild cat of Africa and extreme southwestern Asia. Though probably present in towns in Palestine as long ago as 7000 years, actual domestication occurred in Egypt about 4000 years ago. (From Walker's Mammals of the World, 6th ed, p801)
Paired bodies containing mostly GRAY MATTER and forming part of the lateral wall of the THIRD VENTRICLE of the brain.
Ion channels that specifically allow the passage of SODIUM ions. A variety of specific sodium channel subtypes are involved in serving specialized functions such as neuronal signaling, CARDIAC MUSCLE contraction, and KIDNEY function.
A form of CARDIAC MUSCLE disease that is characterized by ventricular dilation, VENTRICULAR DYSFUNCTION, and HEART FAILURE. Risk factors include SMOKING; ALCOHOL DRINKING; HYPERTENSION; INFECTION; PREGNANCY; and mutations in the LMNA gene encoding LAMIN TYPE A, a NUCLEAR LAMINA protein.
A condition in which the LEFT VENTRICLE of the heart was functionally impaired. This condition usually leads to HEART FAILURE; MYOCARDIAL INFARCTION; and other cardiovascular complications. Diagnosis is made by measuring the diminished ejection fraction and a depressed level of motility of the left ventricular wall.
Use of electric potential or currents to elicit biological responses.
Agents that have a strengthening effect on the heart or that can increase cardiac output. They may be CARDIAC GLYCOSIDES; SYMPATHOMIMETICS; or other drugs. They are used after MYOCARDIAL INFARCT; CARDIAC SURGICAL PROCEDURES; in SHOCK; or in congestive heart failure (HEART FAILURE).
The internal resistance of a material to moving some parts of it parallel to a fixed plane, in contrast to stretching (TENSILE STRENGTH) or compression (COMPRESSIVE STRENGTH). Ionic crystals are brittle because, when subjected to shear, ions of the same charge are brought next to each other, which causes repulsion.
The rate at which oxygen is used by a tissue; microliters of oxygen STPD used per milligram of tissue per hour; the rate at which oxygen enters the blood from alveolar gas, equal in the steady state to the consumption of oxygen by tissue metabolism throughout the body. (Stedman, 25th ed, p346)
The analysis of a critical number of sensory stimuli or facts (the pattern) by physiological processes such as vision (PATTERN RECOGNITION, VISUAL), touch, or hearing.
A disorder of cardiac function caused by insufficient blood flow to the muscle tissue of the heart. The decreased blood flow may be due to narrowing of the coronary arteries (CORONARY ARTERY DISEASE), to obstruction by a thrombus (CORONARY THROMBOSIS), or less commonly, to diffuse narrowing of arterioles and other small vessels within the heart. Severe interruption of the blood supply to the myocardial tissue may result in necrosis of cardiac muscle (MYOCARDIAL INFARCTION).
Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series.
The study of the deformation and flow of matter, usually liquids or fluids, and of the plastic flow of solids. The concept covers consistency, dilatancy, liquefaction, resistance to flow, shearing, thixotrophy, and VISCOSITY.
The study of the electrical activity and characteristics of the HEART; MYOCARDIUM; and CARDIOMYOCYTES.
Motion of an object in which either one or more points on a line are fixed. It is also the motion of a particle about a fixed point. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
The process of making a selective intellectual judgment when presented with several complex alternatives consisting of several variables, and usually defining a course of action or an idea.
The process by which cells convert mechanical stimuli into a chemical response. It can occur in both cells specialized for sensing mechanical cues such as MECHANORECEPTORS, and in parenchymal cells whose primary function is not mechanosensory.
The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)
Signals for an action; that specific portion of a perceptual field or pattern of stimuli to which a subject has learned to respond.
Most generally any NEURONS which are not motor or sensory. Interneurons may also refer to neurons whose AXONS remain within a particular brain region in contrast to projection neurons, which have axons projecting to other brain regions.
Any pathological condition where fibrous connective tissue invades any organ, usually as a consequence of inflammation or other injury.
The process in which substances, either endogenous or exogenous, bind to proteins, peptides, enzymes, protein precursors, or allied compounds. Specific protein-binding measures are often used as assays in diagnostic assessments.
The heart of the fetus of any viviparous animal. It refers to the heart in the postembryonic period and is differentiated from the embryonic heart (HEART/embryology) only on the basis of time.
Clusters of neuronal cell bodies in invertebrates. Invertebrate ganglia may also contain neuronal processes and non-neuronal supporting cells. Many invertebrate ganglia are favorable subjects for research because they have small numbers of functional neuronal types which can be identified from one animal to another.
A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.
Electric conductors through which electric currents enter or leave a medium, whether it be an electrolytic solution, solid, molten mass, gas, or vacuum.
An object or a situation that can serve to reinforce a response, to satisfy a motive, or to afford pleasure.
The chemical reactions involved in the production and utilization of various forms of energy in cells.
The chambers of the heart, to which the BLOOD returns from the circulation.
Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.
The use of computers for designing and/or manufacturing of anything, including drugs, surgical procedures, orthotics, and prosthetics.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
A quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule. It is based upon structure and activity information gathered from a series of similar compounds.
The real or apparent movement of objects through the visual field.
A rigorously mathematical analysis of energy relationships (heat, work, temperature, and equilibrium). It describes systems whose states are determined by thermal parameters, such as temperature, in addition to mechanical and electromagnetic parameters. (From Hawley's Condensed Chemical Dictionary, 12th ed)
Perception of three-dimensionality.
Focusing on certain aspects of current experience to the exclusion of others. It is the act of heeding or taking notice or concentrating.
Any detectable and heritable change in the genetic material that causes a change in the GENOTYPE and which is transmitted to daughter cells and to succeeding generations.
The physical characteristics and processes of biological systems.
The observable response of a man or animal to a situation.
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.
The spread of response if stimulation is prolonged. (Campbell's Psychiatric Dictionary, 8th ed.)
The thin layer of GRAY MATTER on the surface of the CEREBRAL HEMISPHERES that develops from the TELENCEPHALON and folds into gyri and sulchi. It reaches its highest development in humans and is responsible for intellectual faculties and higher mental functions.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
An electrophysiologic technique for studying cells, cell membranes, and occasionally isolated organelles. All patch-clamp methods rely on a very high-resistance seal between a micropipette and a membrane; the seal is usually attained by gentle suction. The four most common variants include on-cell patch, inside-out patch, outside-out patch, and whole-cell clamp. Patch-clamp methods are commonly used to voltage clamp, that is control the voltage across the membrane and measure current flow, but current-clamp methods, in which the current is controlled and the voltage is measured, are also used.
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
The relationship between the dose of an administered drug and the response of the organism to the drug.
A type of stress exerted uniformly in all directions. Its measure is the force exerted per unit area. (McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)
Extensions of the nerve cell body. They are short and branched and receive stimuli from other NEURONS.
General or unspecified injuries to the heart.
Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
Chemical reaction in which monomeric components are combined to form POLYMERS (e.g., POLYMETHYLMETHACRYLATE).
Cellular processes, properties, and characteristics.
Cell membrane glycoproteins that are selectively permeable to potassium ions. At least eight major groups of K channels exist and they are made up of dozens of different subunits.
Use of sound to elicit a response in the nervous system.
Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control (induction or repression) of gene action at the level of transcription or translation.
Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.
Numerical expression indicating the measure of stiffness in a material. It is defined by the ratio of stress in a unit area of substance to the resulting deformation (strain). This allows the behavior of a material under load (such as bone) to be calculated.
The process in which light signals are transformed by the PHOTORECEPTOR CELLS into electrical signals which can then be transmitted to the brain.
Voluntary or reflex-controlled movements of the eye.
Diversion of the flow of blood from the entrance of the right atrium directly to the aorta (or femoral artery) via an oxygenator thus bypassing both the heart and lungs.
NEURAL PATHWAYS and connections within the CENTRAL NERVOUS SYSTEM, beginning at the hair cells of the ORGAN OF CORTI, continuing along the eighth cranial nerve, and terminating at the AUDITORY CORTEX.
Complex mental function having four distinct phases: (1) memorizing or learning, (2) retention, (3) recall, and (4) recognition. Clinically, it is usually subdivided into immediate, recent, and remote memory.
The cochlear part of the 8th cranial nerve (VESTIBULOCOCHLEAR NERVE). The cochlear nerve fibers originate from neurons of the SPIRAL GANGLION and project peripherally to cochlear hair cells and centrally to the cochlear nuclei (COCHLEAR NUCLEUS) of the BRAIN STEM. They mediate the sense of hearing.
The opening and closing of ion channels due to a stimulus. The stimulus can be a change in membrane potential (voltage-gated), drugs or chemical transmitters (ligand-gated), or a mechanical deformation. Gating is thought to involve conformational changes of the ion channel which alters selective permeability.
Intellectual or mental process whereby an organism obtains knowledge.
The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
The quality of surface form or outline of CELLS.
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
The outward appearance of the individual. It is the product of interactions between genes, and between the GENOTYPE and the environment.
The process whereby auditory stimuli are selected, organized, and interpreted by the organism.
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (Submitted manuscript). Lecture ... Registration with Adjacent Anatomical Structures for Cardiac Resynchronization Therapy Guidance. ... thus paving the way for personalized computational models. Individualization of generic computational models through imaging ... Computational models will serve to engender interpretation of the measurements in a way compliant with the underlying ...
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Andreopoulos, A., & Tsotsos ... "Computational foundations for attentive processes" "Computational models of visual attention" Wilkes, David; Tsotsos, John K. ( ... "Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI". Medical Image Analysis. ... At York, he was awarded the NSERC Tier I Canada Research Chair in Computational Vision which he has held for three consecutive ...
"The Cardiac Atlas Project--an imaging database for computational modeling and statistical atlases of the heart". Bioinformatics ... The central statistical model of computational anatomy in the context of medical imaging has been the source-channel model of ... The random orbit model of computational anatomy first appeared in modelling the change in coordinates associated to the ... as well as Cardiac templates, as well as in modeling biological systems. Since the late 1990s, computational anatomy has become ...
She is the Noah G. Harding Professor of Statistics and Director of the Center for Computational Finance and Economic Systems at ... In 2020, she was named the 117th President American Statistical Association (ASA) and served as ASA Vice President from 2018 to ... cardiac arrest", Houston Chronicle, February 18, 2013 Williams, Mike (March 13, 2017), 'Preventable' asthma attacks in Houston ... was Some Results in Autoregressive Modeling. She has been on the Rice faculty since 1987. Ensor's results have included the ...
Statistical Models on Sets of Curves and Surfaces based on Currents. Medical Image Analysis, 13(5):793-808, 2009. T. ... N. Ayache (dir., with J-L. Lions and P. Ciarlet). Computational Models for the Human Body, Handbook of Numerical Analysis, 670 ... Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population. IEEE Trans. on Medical Imaging, 2012 N. Ayache, H ... A central focus of his work is the introduction of geometric, statistical, physical or functional models of the human body for ...
A computational framework was presented, based on statistical shape modelling, for construction of race-specific organ models ... which is used to simulate cardiac and respiratory motions with more realistic modeling of the cardiac system. A polygonal mesh ... "Computational anthropomorphic models of the human anatomy: The path to realistic Monte Carlo modeling in radiological sciences ... Hybrid computational phantoms of the male and female newborn patient: NURBS-based whole-body models, Phys Med Biol, 52, 3309, ...
Islamic Center of Murfreesboro Idealized cognitive model Image Color Management Independent Chip Model Insertable cardiac ... a research center Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw International ... monitor International Congress of Mathematicians Iterated conditional modes, an algorithm for approximate statistical inference ... methods based on Scanning ion-conductance microscopy Interconnect Modeling Specification Interdisciplinary Contest in Modeling ...
... computational model that discovered 504 new protein-protein interactions (PPIs) associated with genes linked to schizophrenia, ... which are involved in cardiac conduction regulation, in ionic channel modulation and cardiac development. It was also ... Particularly the statistical issue of multiple testing wherein it has been noted that "the GWA approach can be problematic ... Genotype imputation is carried out by statistical methods that combine the GWAS data together with a reference panel of ...
The central statistical model of computational anatomy in the context of medical imaging is the source-channel model of Shannon ... The figure on the right shows the computational cardiac anatomy method being used to identify regional differences in radial ... Statistical shape analysis and statistical shape theory in computational anatomy (CA) is performed relative to templates, ... "Statistical methods in computational anatomy". Statistical Methods in Medical Research. 6 (3): 267-299. doi:10.1177/ ...
Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the ... Suppose in a study of the effectiveness of cardiac treatments, with the patients in hospital j having survival probability θ j ... organization helps in the understanding of multiparameter problems and also plays an important role in developing computational ... Statistical methods and models commonly involve multiple parameters that can be regarded as related or connected in such a way ...
Using computational science, wildfire modeling involves the statistical analysis of past fire events to predict spotting risks ... Firefighters are also at risk of cardiac events including strokes and heart attacks. Firefighters should maintain good physical ... Various wildfire propagation models have been proposed in the past, including simple ellipses and egg- and fan-shaped models. ... The model uses data on weather conditions and the land surrounding an active fire to predict 12-18 hours in advance whether a ...
CFD (computational fluid dynamics) software is being used to model stent patency after surgical instrumentation in coronary ... Jorge Negroni and Elena Lascano joined the investigation field and started their work in mathematical models for cardiac ... The epidemiologic study of great populations deserves a special statistical analysis. The patients' database and its associated ... The main interest is to develop new models that describe the cardiovascular system, including arterial mechanics, ventricular ...
"A statistical model for positron emission tomography". Journal of the American Statistical Association. 80 (389): 8-37. doi: ... FIMH, 2013, "Computational Physiology Lab" (PDF). Archived from the original (PDF) on 2018-07-22. Retrieved 2013-10-01. Bruyant ... These scenarios may occur in intraoperative CT, in cardiac CT, or when metal artifacts require the exclusion of some portions ... A statistical model that describes how the noisy measurements vary around their ideal values. Often Gaussian noise or Poisson ...
... defined four classes into which cellular automata and several other simple computational models can be divided depending on ... Their specific motivation was the mathematical description of impulse conduction in cardiac systems. However their model is not ... Indeed, physicist James Crutchfield has constructed a rigorous mathematical theory out of this idea, proving the statistical ... and although it did describe a few specific physical models based on cellular automata,[37] it also provided models based on ...
The basic idea is to take a particular brain, scan its structure in detail, and construct a software model of it that is so ... It is a statistical certainty that we possess more lethal genes that activate in later life than in early life. Therefore, to ... Although neurological damage occurs within 4-6 minutes of cardiac arrest, the irreversible neurodegenerative processes do not ... of a conscious mind from a biological brain to a non-biological computer system or computational device. The basic idea is to ...
Their specific motivation was the mathematical description of impulse conduction in cardiac systems. However their model is not ... A method in computational solid mechanics based on the discrete concept Quantum cellular automaton - An abstract model of ... Kardar, Mehran (2007). Statistical Physics of Fields. Cambridge University Press. ISBN 978-0-521-87341-3. OCLC 920137477. ... a parallel model. Springer. p. 239. ISBN 978-0-7923-5493-2. Burton H. Voorhees (1996). Computational analysis of one- ...
Computational chemistry Computational mathematics Computational neuroscience Computational number theory Computational physics ... theory VLSI design Pure mathematics Mathematical logic and Foundations of mathematics Intuitionistic logic Modal logic Model ... Newtonian dynamics Nuclear physics Optics Plasma physics Quantum physics Solid mechanics Solid state physics Statistical ... informatics/Clinical informatics Hematology Infectious disease Intensive care medicine Internal medicine Cardiology Cardiac ...
Assuming zero-mean Gaussian white noise, the basic model of the spatial covariance matrix is given by R = V S V H + σ 2 I ( 4 ... One of the major advantages of the spectrum based beamformers is a lower computational complexity, but they may not give ... "Implementing capon beamforming on a GPU for real-time cardiac ultrasound imaging". IEEE Transactions on Ultrasonics, ... algorithm is a sparse signal reconstruction based algorithm which explicitly exploits the time invariant statistical ...
These include new forms of computational models, such as the use of process calculi to model biological processes (notable ... Noble, Denis (5 November 1960). "Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations". Nature. 188 ( ... Chiara Romualdi; Gerolamo Lanfranchi (2009). "Statistical Tools for Gene Expression Analysis and Systems Biology and Related ... Systems biology is the computational and mathematical analysis and modeling of complex biological systems. It is a biology- ...
... statistician known for the Rubin Causal Model Steven Salzberg (PhD '89) - computational biologist who made significant ... Kit Parker's lab found that an elastic film coated with a single layer of cardiac muscle cells can semi-autonomously engage in ... physicist known for significant contributions in high-energy nuclear physics and statistical mechanics Harold Zirin (SB '50, ... computational physicist known for introducing Rokhlin's fast multipole method to computational electromagnetics An Wang (PhD ' ...
Dynamical disease modeling has been used to understand cardiac arrhythmia, and specific model detection algorithms are now ... Marr, David (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. ... who guided him in the application of statistical methods to visual perception. Glass patterns are formed from superimposed ... Predicting the Risk of Sudden Cardiac Death on YouTube, lecture recorded on January 20, 2012 at University of Vermont Complex ...
Zheng, G. (2010). "Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from ... computational fluid dynamics (CFD), finite element modeling (FEM), non-destructive testing (NDT), and many more. One of the key ... "Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations". CiteSeerX Cite journal requires ,journal ... molecular analytics and computational astrophysics. The growing number of users of the system started to exceed the capacities ...
... he was also one of the first macroeconomists to apply mathematical models and statistical data to economic questions. Stefan ... a Polish cardiac surgeon; a pioneer in human heart transplantation; in 1987 he performed the first successful heart transplant ... one of the founders of computational linguistics, he introduced the Czekanowski binary index Henryk Iwaniec, mathematician, he ... he developed several models of propeller-driven submarines that evolved from single-person vessels to a four-man model; he ...
HMMs - a statistical Markov model in which the states and state transitions are not directly available to observation. Instead ... The peaks of the waves indicate a cardiac cycle where the heart has pumped blood to the extremities. If the subject experiences ... 0-0. Ritendra Datta, Dhiraj Joshi, Jia Li and James Z. Wang, Studying Aesthetics in Photographic Images Using a Computational ... hidden Markov models, neural network processing or active appearance models. More than one modalities can be combined or fused ...
Biology portal Biodiversity informatics Bioinformatics companies Biomedicine Computational biology Computational biomodeling ... 12-22, 2011 C. Bult and J. Eppig, "The Mouse genome Database (MGD): mouse biology and model systems," Nucleic Acids Research, ... A predictive database is one based on statistical inference. One particular approach to such inference is known as predictive ... "Choline Protects Against Cardiac Hypertrophy Induced by Increased After-load". International Journal of Biological Sciences. 9 ...
Smyth, G. K. (2005). "Limma: Linear Models for Microarray Data". Bioinformatics and Computational Biology Solutions Using R and ... requiring statistical models to determine the authenticity of the resulting signal. RNA-Seq studies produce billions of short ... Similarly, genes that function in the development of cardiac, muscle, and nervous tissue in lobsters were identified by ... Durmuş S, Çakır T, Özgür A, Guthke R (2015). "A review on computational systems biology of pathogen-host interactions". ...
Zhao, R., Papangelis, A., & Cassell, J. (2014, August). Towards a dyadic computational model of rapport management for human- ... Cardiac Tutor The Cardiac Tutor's aim is to support advanced cardiac support techniques to medical personnel. The tutor ... Kurt VanLehn's much more recent overview (2011) of modern ITS found that there was no statistical difference in effect size ... The Domain model The Student model The Tutoring model, and The User interface model The domain model (also known as the ...
Computational models adopt a variety of abstractions in order to describe complex oscillatory dynamics observed in brain ... It is based on the mean field approach, an area of statistical physics that deals with large-scale systems. Models based on ... Alpha wave Beta wave Bursting Cardiac cycle Delta wave Epileptic seizure Gamma wave Mathematical modeling of ... the Hindmarsh-Rose model or the capacitor-switch model as an extension of the integrate-and-fire model. Such models only ...
... convert it into a computer model and run further statistical analysis on the model.[62] Other measurements include fractal ... "Computational Scanning Electron Microscopy". International Conference on Frontiers of Characterization and Metrology. 931: 512 ... Inverse reconstruction using electron-material interactive models[54][55]. *Vertical stacks of SEM micrographs plus image- ... Baghaei Rad, Leili; Downes, Ian; Ye, Jun; Adler, David; Pease, R. Fabian W. (2007). "Economic approximate models for ...
... such as computational biology, computational neuroscience, and mathematical finance. The Mathematics Department of the ... Students in advanced coursework often participate in formulating models outside the field of mathematics as well as in ... "A Statistical Approach to the Spam Problem: Using Bayesian statistics to detect an e-mail's spamminess". Linux Journal. ... cardiac fluid dynamics, plasma physics, and mathematical genomics. Another special feature is the central role of analysis, ...
"A statistical model for positron emission tomography". Journal of the American Statistical Association. 80 (389): 8-37. doi: ... Computational Imaging VIII. 7533: 75330R. Bibcode:2010SPIE.7533E..0RH. CiteSeerX doi:10.1117/12.850771.. ... Main article: Cardiac PET. Cardiology, atherosclerosis and vascular disease study: In clinical cardiology, FDG-PET can identify ... Statistical, likelihood-based approaches: Statistical, likelihood-based [37][38] iterative expectation-maximization algorithms ...
Another model of epigenetic function is the "trans" model. In this model, changes to the histone tails act indirectly on the ... Adult stem cells like bone marrow stem cells have also shown a potential to differentiate into cardiac competent cells when ... Several criticisms were reported, including the study's low statistical power as evidence of some irregularity such as bias in ... Furthermore, the use of bioinformatic methods is playing an increasing role (computational epigenetics). ...
The development of the internet has helped develop computational health informatics over the past decade. Computer models are ... On the other hand, by 2004, up to 296,492 healthcare facilities were recorded in statistic summary of MoH, and an average of ... Computational health informatics[edit]. Computational health informatics is a branch of computer science that deals ... 6. Develop a process to maintain and refine the China model and to align with and influence international health data models ...
"Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead". Nature ... Computational processing of the EEG is often named quantitative electroencephalography (qEEG). Most of the cerebral signal ... This also allows the EEG to identify cardiac arrhythmias that are an important differential diagnosis to syncope or other ... Recent studies using machine learning techniques such as neural networks with statistical temporal features extracted from ...
It is based on the mean field approach, an area of statistical physics that deals with large-scale systems. Models based on ... Computational models adopt a variety of abstractions in order to describe complex oscillatory dynamics observed in brain ... Main article: Cardiac pacemaker. Cells in the sinoatrial node, located in the right atrium of the heart, spontaneously ... Neural mass modelEdit. Simulation of a neural mass model showing network spiking during the onset of a seizure.[34] As the gain ...
Several modeling techniques are applied to development: symbolic, connectionist (neural network), or dynamical systems models. ... Vallacher, R. R. (2017). Computational social psychology. Routledge. ISBN 978-1138951655. .. *^ Sacco, R.G. (2013). "Re- ... Physically, the middle-aged experience a decline in muscular strength, reaction time, sensory keenness, and cardiac output. ... information required for learning the structure of language and that infants acquire language through a process of statistical ...
As mentioned above, the resulting image is a 2D (or 3D) model of the attenuation coefficient. That is, we wish to find the ... The concentric square raster improves computational efficiency by allowing all the interpolation positions to be on rectangular ... statistical knowledge of the data acquisition process and geometry of the data imaging system. ... Cardiac MRI/Cardiac MRI perfusion. *MR angiography. *MR cholangiopancreatography. *Breast MRI. *Functional MRI ...
This problem was highlighted in a 2015 review.[23] The majority (78%) used a statistical model, which provided no information ... mathematical equations and computational algorithms; 2) computer technology; 3) epidemiological knowledge about infectious ... The methodological and public health consequences of this type of statistical model were further highlighted.[24] While this ... Unlike other life-table population models, PopMod is designed to not assume the statistical independence of the diseases of ...
Lai, Dejian (1996). "Comparison study of AR models on the Canadian lynx data: a close look at BDS statistic". Computational ... in the study of pathological cardiac cycles. ... Models of bifurcation and chaos by Elmer G. Wiens. *Gleick's ... Most models are continuous, but recently scientists have been able to implement chaotic models in certain populations.[103] For ... Better models of warning signs of fetal hypoxia can be obtained through chaotic modeling.[106] ...
A Computational Study". Physica A: Statistical Mechanics and Its Applications. 389 (3): 467-472. arXiv:0907.0455. Bibcode: ... "Improbable Research". Mitchell, Marc A. (2016). "Validation of a Functional Pyelocalyceal Renal Model for the Evaluation of ... "Auditory stimulation of opera music induced prolongation of murine cardiac allograft survival and maintained generation of ... Goldstein, R.; Warren, P.; Ball, R. (2012). "Shape of a Ponytail and the Statistical Physics of Hair Fiber Bundles" (PDF). ...
Sniedovich has shown that info-gap's robustness model is a simple stability radius model, namely a local stability model of the ... For instance, one may have very little knowledge about the relevant set of cardiac waveforms at the onset of heart failure in a ... James O Berger (2006; really 1985). Statistical decision theory and Bayesian analysis (Second ed.). New York: Springer Science ... Limitations on knowledge, understanding, and computational capability constrain the ability of decision makers to identify ...
When it came time to punch roads through the wilderness, the farmers modelled the road network on what was familiar to them, ... "Regional Cardiac Care Centre". SMGH. 15 September 2018. Retrieved 30 December 2018. "About Us". SMGH. 15 September 2018. ... H. (1846). SMITH'S CANADIAN GAZETTEER - STATISTICAL AND GENERAL INFORMATION RESPECTING ALL PARTS OF THE UPPER PROVINCE, OR ... James G. Mitchell, computer scientist Richard Bader, computational chemist Chelsea Aubry, basketball player Don Awrey, ice ...
... biomedical and cancer bioinformatics and computational and statistical sciences for bioinformatics.[citation needed] The ... "Predictive Modeling Data in the ACT Electronic Student Record" (PDF). ACT, Inc. Retrieved March 18, 2019. "Number of ... who ushered in the modern era of cardiac surgery, Cornelia Bargmann, an award winning neurobiologist, who is Wiesel Professor ... Built in 1858 and modeled after the Great Seal of the State of Georgia, the area near the three-columned gate is a popular ...
"3D-Imaging of cardiac structures using 3D heart models for planning in heart surgery: a preliminary study". Interactive ... After scanning these objects, computational methods can be employed to examine the insides of these objects, as was the case ... p. 5. ISBN 978-3-642-11241-6. Erdoğan, Hakan (1999). Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates ... A CT scan of the heart is performed to gain knowledge about cardiac or coronary anatomy. Traditionally, cardiac CT scans are ...
... we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed ... International Workshop on Statistical Atlases and Computational Models of the Heart STACOM 2017: Statistical Atlases and ... eds) Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017. Lecture Notes in ... Grosgeorge, D., Petitjean, C., Dacher, J.-N., Ruan, S.: Graph cut segmentation with a statistical shape model in cardiac MRI. ...
Cardiac Magnetic Resonance (CMR) provides unique functional and anatomical visualisation of the macro and micro-structures of ... International Workshop on Statistical Atlases and Computational Models of the Heart STACOM 2016: Statistical Atlases and ... Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in ... Young, A.A., Frangi, A.F.: Computational cardiac atlases: from patient to population and back. Exp. Physiol. 94(5), 578-596 ( ...
Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry ... Graphical models have become a focus of research in many statistical, computational and mathematical fiel ..." ... and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical ... Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry by Carlos ...
International Workshop on Statistical Atlases and Computational Models of the Heart * Improved curvature-based inpainting ... Automated interpretation of cardiac scintigrams J Richter, A Ericsson, K Åström, F Kahl, L Edenbrandt. Scandinavian Conference ... A statistical approach to structure and motion from image features K Åström, F Kahl, A Heyden, R Berthilsson. Statistical ... Surface reconstruction using learned shape models JE Solem, F Kahl. Advances in neural information processing systems (NIPS) * ...
“A Statistical Physiological Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac ... "Volumetric Modeling Electromechanics of the Heart." Proceedings of the Statistical Atlases and Computational Models of the ... Proceedings of the Statistical Atlases and Computational Models of the Heart: Imaging and Modeling Challenges, Toronto, ... Proceedings of the Statistical Atlases and Computational Models of the Heart: Imaging and Modeling Challenges, Toronto, ...
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (Submitted manuscript). Lecture ... Registration with Adjacent Anatomical Structures for Cardiac Resynchronization Therapy Guidance. ... thus paving the way for personalized computational models. Individualization of generic computational models through imaging ... Computational models will serve to engender interpretation of the measurements in a way compliant with the underlying ...
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer Berlin Heidelberg. 234- ... Ardekani S, Weiss RG, Lardo AC, George RT, Lima JAC, Wu KC, Miller MI, Winslow RL, Younes L (2009). Cardiac motion analysis in ... Ardekani S, Gunter G, Jain S, Weiss RG, Miller M, Younes L (2014). Estimating dense cardiac 3D motion using sparse 2D tagged ... Ardekani S, Gunter G, Jain S, Weiss RG, Miller MI, Younes L (2014). Estimating dense cardiac 3D motion using sparse 2D tagged ...
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Andreopoulos, A., & Tsotsos ... "Computational foundations for attentive processes" "Computational models of visual attention" Wilkes, David; Tsotsos, John K. ( ... "Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI". Medical Image Analysis. ... At York, he was awarded the NSERC Tier I Canada Research Chair in Computational Vision which he has held for three consecutive ...
Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A. Statistical Atlases and Computational Models of the Heart - STACOM ... Patient metadata-constrained shape models for cardiac image segmentation. Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young ... Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A. Statistical Atlases and Computational Models of the Heart - STACOM ... Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A. Statistical Atlases and Computational Models of the Heart - STACOM ...
This presentation will provide an overview of the recent advances on cardiac modeling achieved in the M3DISIM group, with a ... Experimental, theoretical and computational work has shown that the lens supports its own microcirculation. It is an osmotic ... The algorithm infers the probability density function of uncertain parameters from the matching of the observable statistical ... The model reduces to the first generation analytical models. The full model explains additional data of some significance. ...
We have developed a statistical physiological-model-constrained framework that uses noninvasive body surface potential data ... Noinvasive Computational Imaging of Cardiac Electrophysiology for 3D Infarct Quantification. Wang L - - 2010 ... Injectable cardiac tissue engineering aims to support cell-based therapies and enhance their efficacy for cardiac diseases. So ... A transient and reversible reduction in cardiac output-low cardiac output state (LCOS) often occurs following surgery for ...
The Cardiac Atlas Project-an imaging database for computational modeling and statistical atlases of the heartBioinformaticsYear ... Population-based statistical models of cardiac function are now becoming available [95], in which regional wall motion can be ... Mouse and computational models link Mlc2v dephosphorylation to altered myosin kinetics in early cardiac diseaseJ Clin Invest ... Ubbink SW,Bovendeerd PH,Delhaas T,Arts T,van de Vosse FN,Towards model-based analysis of cardiac MR tagging data: relation ...
Assessing risk of heart failure with cardiac modelling and statistical inference at University of Glasgow, listed on FindAPhD. ... research team to develop new methodologies for computational modelling and inference in cardio-mechanic models. Your ultimate ... PhD in Mathematics and Statistics - Assessing risk of heart failure with cardiac modelling and statistical inference. ... PhD in Mathematics and Statistics - Assessing risk of heart failure with cardiac modelling and statistical inference. ...
... and image analysis research for lung and cardiac diseases. ... statistical modeling, biophysical lung modeling (computational ... The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, ... Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data ... XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model ...
Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart ... Using computational models, images acquired pre-operatively can be updated to account for intraoperative brain shift in image- ... Recently, statistical multi-object shape models have been introduced to extract common statistical characteristics between ... A statistical multi-vertebrae shape+pose model for segmentation of CT images Author(s): Abtin Rasoulian; Robert N. Rohling; ...
We first developed computational models of the human β-cardiac myosin protein before and after the myosin power stroke. Then, ... using a spatial scan statistic modified to analyze genetic variation in protein 3D space, we found significant enrichment of ... a heritable disease characterized by cardiac hypertrophy, heart failure, and sudden cardiac death. How specific myosin variants ... Peak cardiac index was the main predictor of peak Vo2 (r = 0.61, p < 0.001). The variables most strongly related to VE/VCO2 ...
A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine ... Beg, M. F., Helm, P. A., McVeigh, E., Miller, M. I., Winslow, R. L. Computational Cardiac Anatomy Using MRI. Magnetic Resonance ... Trayanova, N. Whole Heart Modeling: Applications to Cardiac Electrophysiology and Electromechanics. Circulation Research. 108, ... Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model… ...
... in Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, vol. 8330 of Lecture Notes in ... such as statistical shape models or atlas-based methods. Compared to the literature of cardiac ventricles segmentation, the one ... and cardiac biophysical modelling. However, automated LA segmentation from cardiac MRI is challenging due to limited image ... A. Suinesiaputra, A. D. McCulloch, M. P. Nash, B. Pontre, and A. A. Young, "Cardiac image modelling: breadth and depth in heart ...
... we applied state-of-the-art multiphysics cardiac modelling combined with advanced machine learning and multivariate statistical ... To identify these biomechanical biomarkers and bring computational biomechanics closer to the clinic, ... Mechano-electric feedback effects in a three-dimensional (3D) model of the contracting cardiac ventricle.. ... A model of stretch-activated channels was incorporated into a three-dimensional multiscale model of the contracting ventricle ...
We developed a special computational fluid dynamics model using large eddy simulation and lumped parameter modeling framework ( ... Statistical analysis. Results were expressed as mean ± SD. Statistical analyses were performed using SigmaStat software ( ... Interventional cardiac catheterization. Cardiac catheterization was performed to determine the exact morphology and the ... A lumped-parameter model simulating the function of the left side of the heart is coupled to the inlet of the aorta model. ...
1 Jan 2015 Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. Springer, Vol. LNCS ... Analysis of lead placement optimization metrics in cardiac resynchronization therapy with computational modelling. Crozier, A. ... Lamata de la Orden, P., Niederer, S., Plank, G. & Smith, N. 2010 STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. ... The relative role of patient physiology and device optimisation in cardiac resynchronisation therapy: A computational modelling ...
Statistical Methods. * Zavez, A., McSorley, E., Yeates, A., & Thurston, S.W. (in press). Modeling the effects of multiple ... and between air pollution and cardiac outcomes in Rochester. I am the Principal Investigator for our Departments T32 grant ... Statistical Methods in Medical Research, 26(2): 809-822.. *Evans, K., Love. T.M.T., & Thurston, S.W. (2015). Outlier ... Much of my statistical research is motivated by problems arising in environmental and occupational health. Research interests ...
A: "Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges". Springer, 2015, p. 114-122. ... Synchronous activation of all of the myocardium provides an unrealistic timing of hemodynamic events in the cardiac cycle. ... We aim to compare models to data measured experimentally to identify the effect of using a mathematical model of fibre ... VP2HF - Computer model derived indices for optimal patient-specific treatment selection and planning in Heart Failure (EC-FP7- ...
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models. This paper studies the numerical ... computational work-flow. This paper examines the casefor probabilistic numerical methods in routine statistical computation. ... For the functional cardiac models that motivate this work, neither $f$nor $p$ possess a closed-form expression and evaluation ... Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction. , BIOPHYSICAL JOURNAL, Vol: 111, Pages ...
Proceedings of MICCAI Workshop on Statistical Atlases and Computational Models of the Heart (STACOM), Nagoya, Japan, September ... Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG Proceedings of the 16th International ... Statistical Models for Anisotropic X-Ray Dark-field Tomography International Meeting on Fully Three-Dimensional Image ... Construction of Statistical Shape Models from Minimal Deformations Workshop "Manifolds in Medical Imaging: Metrics, Learning ...
Computational methods for cardiac electrophysiology. In: Ayache N, Guest Ed (Eds) Computational Models for the Human Body, ... Feala JD, Cortes J, Duxbury PM, McCulloch AD, Piermarocchi C, Paternostro G (2012) Statistical properties and robustness of ... A computational framework for patient-specific multi-scale cardiac modeling. In: Roy Kerckhoffs (Ed) Patient-Specific Modeling ... Kerckhoffs, RCP (2012) Computational modeling of cardiac growth in the post-natal rat with a strain-based growth law. J Biomech ...
International Workshop on Statistical Atlases and Computational Models of the Heart * Improved curvature-based inpainting ... Automated interpretation of cardiac scintigrams J Richter, A Ericsson, K str m, F Kahl, L Edenbrandt. Scandinavian Conference ... A statistical approach to structure and motion from image features K str m, F Kahl, A Heyden, R Berthilsson. Statistical ... Improved object detection and pose using part-based models F Jiang, O Enqvist, F Kahl, K str m. Scandinavian Conference on ...
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, ... Image and Physiological Data Fusion for Guidance and Modelling of Cardiac Resynchronization Therapy Procedures. Ma, Y., Duckett ... p. 105 - 113 9 p. (STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART).. Research output: Chapter in Book/Report/ ... A Novel Cardiac MRI Protocol To Guide Successful Cardiac Resynchronization Therapy Implantation. Duckett, S. G., Ginks, M., ...
Physical Model of the Pulmonary Circulation Designed for Investigation on Cardiac Output Measurement by Means of the ... Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing. Higgins, John M.; Eddington, David T.; ... Bhatia, Sangeeta N.; Mahadevan, L. // PLoS Computational Biology;Feb2009, Vol. 5 Issue 2, p1 Blood is a dense suspension of ... An ultrasound model to calculate the brain blood outflow through collateral vessels: a pilot study. Zamboni, Paolo; Sisini, ...
  • Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology. (
  • The research group on Cardiac Diseases at IDIBAPS envisages of a multidisciplinary approach, which includes several disciplines (cardiologists specializing in electrophysiology, cardiac imaging, radiologists, bioengineers and biologists) covering the entire spectrum of cardiovascular pathology, from basic studies to translational clinical research and therapy. (
  • Models of sheets in the heart wall play an important role in the visualization of myofiber geometry, in modelling mechanics and in cardiac electrophysiology. (
  • Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints. (
  • Trayanova is recognized internationally as a leader in the field of computational cardiac electrophysiology. (
  • In her Computational Cardiac Electrophysiology Laboratory at the ICM, Trayanova is developing cutting-edge computational tools and simulation-experiment approaches to advance understanding of the fundamental mechanisms that underlie rhythm disorders in the heart. (
  • In addition, the gPC models can provide a measure of confidence in model predictions, which can improve the reliability of computer simulations of cardiac electrophysiology for clinical applications. (
  • Lye TH, Vincent KP, McCulloch AD, Hendon CP (2018) Tissue-specific optical mapping models of swine atria informed by optical coherence tomography. (
  • This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. (
  • This paper reviews current clinical applications and shows how torsion can give insights into LV mechanics and the influence of LV geometry and myocyte fiber architecture on cardiac function. (
  • This is an ideal PhD project for a postgraduate student with a strong applied mathematics and statistics or Computer Science background who is interested in computational mechanics and adapting cutting-edge inference and pattern recognition methods from Machine Learning and Bayesian modelling to challenging cardio-mechanic modelling problems. (
  • Dewan S, McCabe KJ, Regnier M, McCulloch AD (2017) Insights and Challenges of Multi-scale Modeling of Sarcomere Mechanics in cTn and Tm DCM mutants - Genotype to Cellular Phenotype. (
  • On the network level, collective behaviors and systems far from equilibrium prevail, requiring tools from non-linear dynamics and statistical mechanics to quantify these interactions. (
  • 2016. Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics . (
  • Asthagiri's research includes hydration phenomena and statistical mechanics of aqueous systems, ab initio molecular dynamics approaches to chemistry in liquids, and metal-protein and protein-protein interactions. (
  • The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications. (
  • Segmentation of the left atrium (LA) from cardiac magnetic resonance imaging (MRI) datasets is of great importance for image guided atrial fibrillation ablation, LA fibrosis quantification, and cardiac biophysical modelling. (
  • PHILIPS was a pioneer in 3D Ultrasound, being first to introduce a matrix probe, and PHILIPS Research Medisys provided the first quantification tools for analysing cardiac function on those images. (
  • Statistical priors can also be used to support cardiac image analysis with applications to advanced quantification and subjectspecific computational physiology simulations. (
  • This makes uncertainty quantification (UQ) unfeasible, unless modeling reduction strategies are employed. (
  • InProceedings{ zhao.19.stacom, author = {Zhou Zhao and Nicolas Boutry and \'Elodie Puybareau and Thierry G\'eraud}, title = {A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on {MR} Images}, booktitle = {Statistical Atlases and Computational Models of the Heart. (
  • A. Caiazzo , I.E. Vignon - Clementel , Chapter 3: Mathematical Modeling of Blood Flow in the Cardiovascular System, in: Quantification of Biophysical Parameters in Medical Imaging , I. Sack , T. Schaeffter , eds. (
  • Statistical techniques such as Monte Carlo (MC) simulations have been applied to uncertainty quantification and propagation in cardiac modeling. (
  • In the field of cardiac care, it is a secondary and tertiary center for heart failure, cardiac surgery, cardiac resynchronisation therapy and heart transplantation since 1973. (
  • Here we report that modulation of microRNA-499 (miR-499) levels affects apoptosis and the severity of myocardial infarction and cardiac dysfunction induced by ischemia-reperfusion. (
  • AIM: This study is to compare the effect of the δ-opioid receptor agonist, d-Ala(2)-d-Leu(5) enkephalin (DADLE) with normothermic control and therapeutic hypothermia on post resuscitation myocardial function and 72-h survival in a rat model of cardiac arrest and resuscitation. (
  • To identify these biomechanical biomarkers and bring computational biomechanics 'closer to the clinic', we applied state-of-the-art multiphysics cardiac modelling combined with advanced machine learning and multivariate statistical inference to a clinical database of myocardial infarction. (
  • The statistical analysis reveals that the required patient-specific contractility, normalized active tension and the systolic myofilament kinematics have the strongest explanatory power for identifying the myocardial function changes post-MI. (
  • The helical ventricular myocardial band of Torrent-Guasp's model and the apical spiral structure of Rushmer's model are also reconstructed by our algorithm. (
  • Finite element shape models from 300 patients with myocardial infarction from the DETERMINE study (age 31-86, mean age 63, 20 % women) were compared with 1991 asymptomatic cases from the MESA study (age 44-84, mean age 62, 52 % women) available from the Cardiac Atlas Project. (
  • In order to maintain normal cardiac physiology, the heart constantly changes its shape and function ( remodelling ) due to myocardial injury, disease or excessive physical activities. (
  • Can these myocardial infarction remodelling be detected automatically from the 3D model of the left ventricle? (
  • Myocardial infarction remains a leading cause of morbidity and mortality among cardiac disease. (
  • Cardiac wall thickening in patients with myocardial infarction is less than healthy individuals. (
  • Accurate measurement of cardiac wall fractional thickening and path-length of myocardium points in healthy data and patients with myocardial infarction can help physicians in diagnosing the affected area. (
  • By tracking how each point on the myocardial surface changes relative to neighboring points we can build a three dimensional model of how the LV remodels over time. (
  • While these options provide successful therapeutic strategies for CAD, it is important to improve our insights into all factors involved in myocardial perfusion, to which biomedical engineering can contribute by providing a comprehensive model of the function of the coronary circulation. (
  • We used a rabbit model of myocardial infarction (MI) and an imaging-based approach to derive the parameters. (
  • This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. (
  • Your ultimate objective will be to contribute to paving the path to a new generation of clinical decision support systems for cardiac disease risk assessment based on complex mathematical-physiological models. (
  • In the past several years, a number of techniques were applied to the heart chambers segmentation, in meeting the variety of needs of clinical diagnosing and therapy, including active contour models, graph cuts, and machine learning as well as knowledge-based approaches, such as statistical shape models or atlas-based methods. (
  • Methods We developed a unique computational fluid dynamics and lumped parameter modeling framework based on patient-specific hemodynamic input parameters and validated it against patient-specific clinical outcomes (before and after intervention). (
  • The "gold clinical standard" of cardiac output measurements is the thermodilution method, implemented by the Swan-Ganz catheter. (
  • The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. (
  • Goodness-of-fit results were compared against a baseline logistic model comprising standard clinical indices. (
  • The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. (
  • Hence, both UQ and parameter sensitivity naturally arise during modeling, and they shall become fundamental in view of clinical applications. (
  • Automatic segmentation of the left ventricle (LV) of a living human heart in a magnetic resonance (MR) image (2D+t) allows to measure some clinical significant indices like the regional wall thicknesses (RWT), cavity dimensions, cavity and myocardium areas, and cardiac phase. (
  • The topics of the workshop includes cardiac image processing, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac mapping, cardiac computational physiology, model customization, atlas-based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. (
  • Her research integrates information from molecular modeling and sequence analysis with clinical patient data and in vitro functional studies. (
  • Importantly, these quantities are directly and noninvasively reconstructed in a digitized model of the patient's three-dimensional heart, which has led to clinical interest in ECGI's ability to personalize diagnosis and guide therapy. (
  • For the clinicians it may provide some insights into the concepts underlying the indices on which they make clinical decisions and for the basic scientists it sketches the clinical practice and the developments one may anticipate in model-based support for diagnosis and therapy. (
  • PIC fellows will build both mechanistic and statistical models from clinical data (WP1), enabling the extraction of biomarkers for better diagnosis and prognosis of the individual patient. (
  • PIC fellows will apply models to maximise the value of clinical data (WP2) to inform diagnosis, and to optimise clinical devices & drug choices (WP3) to deliver a personalised therapy. (
  • to propose novel clinical diagnostic metrics based on the concept of statistical models of anatomy. (
  • Research within the School fully embraces the 'bench to bedside' concept, ranging from molecular and computational studies through to clinical trials. (
  • Thus, the zebrafish represents a compelling model to study heart injury and regeneration with potential clinical impact. (
  • You'll embrace a 'bench to bedside' philosophy, with the potential to take part in molecular and computational studies as well as clinical trials. (
  • The use of computational data mining techniques that allow researchers to extract interesting and meaningful information from real-life clinical data could remove at least some aspect of the subjectivity of clinical prognosis and allow the epidemiology to work at the patient level more precisely. (
  • The detail of the mathematical models used to create simulations of the heart beat vary greatly. (
  • Our projects cover the evaluation of model-based approaches involving CFD (computational fluid dynamics) simulations as well as methods that aim at estimating the optical flow in the images and deriving quantitative blood flow information from these results. (
  • His master thesis focused on the acceleration of molecular simulations and modeling. (
  • We performed simulations with the integrated model varying ACh concentration and voltage sensitivity. (
  • The patient-specific and anatomically detailed geometrical models will also be used to run simulations to predict the impact of therapy in heart failure, arrhythmia or valve conditions ( F8 , F10 and F14 ). (
  • proportions was Invasive to evaluate buy the cambridge medieval history vol 4 the eastern roman empire 717 1453 black and white and plan within a gender of knowledge biomass and computational simulations and long-standing 6-bisphosphate health statistics within three forests. (
  • This PhD project will give you the opportunity to join an interdisciplinary research team to develop new methodologies for computational modelling and inference in cardio-mechanic models. (
  • Research interests include Bayesian inference, modeling multiple outcomes, correction for measurement error bias, informative prior specification, latent variable models, and environmental health applications. (
  • Markov Chain Monte Carlo methods have revolutionised mathematical computationand enabled statistical inference within many previously intractable models. (
  • Probabilistic integration formulates integration as a statistical inference problem, and is motivated by obtaining a full distribution over numerical error that can be propagated through subsequent computation. (
  • Invariance properties and statistical inference for circular data. (
  • I specialize in computer-intensive methods for regression and classification, bootstrap, cross-validation and statistical inference, and signal and image analysis for medical diagnosis. (
  • Integrated Modeling, Inference and Computing will focus on the advancement of the integration of core areas of engineered modeling approaches, machine learning and computation to address barriers in smart modeling with applications in bioengineering for health & disease, environmental health monitoring & climate change, and engineering & design of advanced material systems. (
  • Model-based inference requires new methods of modeling to frame and guide data analysis. (
  • Simultaneous statistical inference for epigenetic data , PLOS ONE, 10 (2015), pp. e0125587/1--e0125587/15. (
  • nurses in SNCA and the 431002014-01-01T00:00:00Provide download Computational Modeling of Neural Activities for Statistical Inference as wonderful condition companies for Parkinson UBIT. (
  • be to this download Computational Modeling of Neural Activities for Statistical Inference was it without your body. (
  • Petitjean, C., Dacher, J.: A review of segmentation methods in short axis cardiac MR images. (
  • The methods can be grouped into several broad categories: image segmentation, image registration, image-based physiological modeling, and others. (
  • These methods have been very influential, and have given rise to similar models. (
  • Image-Based segmentation: Some methods initiate a template and refine its shape according to the image data while minimizing integral error measures, like the Active contour model and its variations. (
  • Computational and Mathematical Methods in Medicine. (
  • Computational Methods for Molecular Imaging. (
  • It involves the development and application of mathematical, statistical and data-analytical methods for modelling and simulation of biological structures. (
  • After this so-called pre-processing was carried out, models like regression or classification methods can be applied to extract medical relevant information. (
  • In this work, we present a comparative analysis of our optical flow based technique for colonoscopy tracking, in relation to current state of the art methods, in terms of tracking accuracy, system stability, and computational efficiency. (
  • We validated the proposed method on the cardiac volumetric MRI datasets from the STACOM 2013 and HVSMR 2016 databases and showed that it outperforms other latest automated LA segmentation methods. (
  • MAIN METHODS: Following a standard cardiac differentiation protocol using small molecules targeting the canonical Wnt signaling, growth factors (BMP4 and FGF2) and ascorbic acid were added further in order to increase the cardiac differentiation efficiency. (
  • Statistical Methods in Medical Research , 26(2): 809-822. (
  • These methods facilitate statistical analysis of regional heart shape and wall motion characteristics across population groups, via the application of parametric mathematical modeling tools. (
  • cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome Models and methods used in the analysis of microarray expression data. (
  • This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. (
  • The technology, known as pVAAST (pedigree Variant Annotation, Analysis and Search Tool), combines two different statistical methods used for identifying disease-causing gene mutations. (
  • Auto-Associative models cover a large class of methods used in data analysis. (
  • Consequently, alternative evaluation methods based on computational models are desirable or even necessary. (
  • Evaluating health facility access using Bayesian spatial models and location analysis methods. (
  • Floating catchment methods have recently been applied to identify priority regions for Automated External Defibrillator (AED) deployment, to aid in improving Out of Hospital Cardiac Arrest (OHCA) survival. (
  • Second, to evaluate the AED placement methods using geospatial models of accessibility. (
  • In particular, I am interested in developing new statistical methods that are robust to outliers and feasible for the anlaysis of high-dimensional datasets usually encountered in genomics and protoemics studies. (
  • However, MC simulation-based methods are computationally prohibitive for complex cardiac models with a great number of parameters and governing equations. (
  • Model-based learning expands data exploration methods beyond purely statistical approaches to use tailored computing methods to incorporate domain knowledge into data analysis. (
  • The Goddard Earth Observing System 5( GEOS-5) has the 5-Year psychiatry required by the Global Modeling and Assimilation Office( GMAO) for a energy of approaches, from successional contractility signal at abruptly modern lack, to methods office and global threat velocity, to low-income drug TURNIP satisfactions. (
  • Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry. (
  • Computational GeometryComputational Geometry. (
  • The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. (
  • Computational anatomy is an interdisciplinary field of biology focused on quantitative investigation and modelling of anatomical shapes variability. (
  • The flows between coordinates in computational anatomy are constrained to be geodesic flows satisfying the principle of least action for the Kinetic energy of the flow. (
  • Computational anatomy intersects the study of Riemannian manifolds and nonlinear global analysis, where groups of diffeomorphisms are the central focus. (
  • Emerging high-dimensional theories of shape are central to many studies in computational anatomy, as are questions emerging from the fledgling field of shape statistics. (
  • The metric structures in computational anatomy are related in spirit to morphometrics, with the distinction that Computational anatomy focuses on an infinite-dimensional space of coordinate systems transformed by a diffeomorphism, hence the central use of the terminology diffeomorphometry, the metric space study of coordinate systems via diffeomorphisms. (
  • Albrecht Durer's Four Books on Human Proportion were arguably the earliest works on computational anatomy. (
  • The efforts of Noam Chomsky in his pioneering of Computational Linguistics inspired the original formulation of computational anatomy as a generative model of shape and form from exemplars acted upon via transformations. (
  • Due to the availability of dense 3D measurements via technologies such as magnetic resonance imaging (MRI), computational anatomy has emerged as a subfield of medical imaging and bioengineering for extracting anatomical coordinate systems at the morphome scale in 3D. (
  • Computational anatomy departs from computer vision with its focus on rigid motions, as the infinite-dimensional diffeomorphism group is central to the analysis of Biological shapes. (
  • The diffeomorphometry metric of Computational anatomy measures how far two diffeomorphic changes of coordinates are from each other, which in turn induces a metric on the shapes and images indexed to them. (
  • The models of metric pattern theory, in particular group action on the orbit of shapes and forms is a central tool to the formal definitions in Computational anatomy. (
  • Computational anatomy is the study of shape and form at the morphome or gross anatomy millimeter, or morphology scale, focusing on the study of sub-manifolds of R 3 , {\displaystyle {\mathbb {R} }^{3},} points, curves surfaces and subvolumes of human anatomy. (
  • Accurate segmentation of the LA anatomy from MR images is of great importance for ablation guidance during the therapy procedure, automatically quantifying the LA fibrosis which is highly associated with postablation AF recurrence [ 3 ] and creating cardiac biophysical models [ 4 , 5 ]. (
  • In the brain, infrastructure for building atlases and computational anatomy tools are well developed. (
  • MOTIVATION: Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. (
  • In this study, we propose a novel comprehensive computational analysis of LA anatomy to identify what features of LA shape can optimally predict post-ablation AF recurrence. (
  • We first apply this methodology to characterize the LA anatomy of 144 AF patients and build a statistical shape model that includes the most salient variations in shape across this cohort. (
  • Uncertainties for cardiac models are ubiquitous, including anatomy, fiber direction, and electric and mechanical properties of the tissue. (
  • AMRG Cardiac MRI Atlas offers a way to learn about the heart's anatomy. (
  • However, the interpretation of these signals is strongly model-dependent and therefore it is of paramount importance to develop realistic models reflecting the anatomy and unique physiology of the coronary circulation. (
  • Statistical models of shape and appearance can be automatically built from large populations of image datasets by minimizing manual intervention and data collection. (
  • The method showed almost perfect agreement between automatic and manual CVD risk categorization in both datasets, with a linearly weighted Cohen's kappa of 0.95 in cardiac CT and 0.93 in chest CT. (
  • However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. (
  • As an extension of the previous works and a challenge to ourselves, we wish to conduct unsupervised analysis on large unlabeled cardiac image datasets. (
  • We investigated amputation and cryoinjury in vivo models of heart damage in the zebrafish through unbiased, integrative analyses of independent molecular datasets. (
  • A machine learning strategy that leverages large datasets to boost statistical power in small-scale experiments. (
  • Using asymptotic analysis, we derive a simplified model based on physiological data. (
  • In recent years, we have witnessed impressive developments in the mathematical modelling of complex physiological systems. (
  • Statistical and periodic properties (characteristics) of the physiological signals carry utmost importance for the reliable detection and estimation of health parameters in mobile health sensing technologies. (
  • His current research interests include statistical signal processing, physiological modeling, mobile health sensing, and biomarkers. (
  • Uncertainty and physiological variability are ubiquitous in cardiac electrical signaling. (
  • Furthermore, we suggest that the approach will provide important data for physiological models of cardiac tissue at the submicrometer scale. (
  • STACOM (Statistical Atlases and Computational Modelling of the Heart) workshop is a forum for discussion of the latest developments in the areas of statistical atlases and computational imaging and modelling of the heart. (
  • This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. (
  • Villongco CT, Krummen DE, Omens JH, McCulloch AD (2016) Non-invasive, model-based measures of ventricular electrical dyssynchrony for predicting CRT outcomes. (
  • A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging. (
  • Semi-automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance. (
  • Left ventricle: fully automated segmentation based on spatiotemporal continuity and myocardium information in cine cardiac magnetic resonance imaging (LV-FAST). (
  • Ngo, T.A., Lu, Z., Carneiro, G.: Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. (
  • Cardiac Magnetic Resonance (CMR) provides unique functional and anatomical visualisation of the macro and micro-structures of the heart. (
  • You will aim to achieve patient-specific calibration of these models in real time, using magnetic resonance imaging data. (
  • Yousefi-Banaem H, Kermani S, Sanei H, Daneshmehr A. Detecting Infarct Region in Cardiac Magnetic Resonance Images Through Weighted Normalized Mutual Information, Iran J Radiol. (
  • Cardiac magnetic resonance imaging (CMRI) is a powerful diagnostic tool that can provide more accurate measurements of cardiac chambers, volumes, dimensions ( 7 ), local cardiac wall function ( 8 ), and infarct area extent ( 9 ). (
  • Joining the Department of Biomedical Engineering and Institute for Computational Medicine (ICM) are professor Natalia Trayanova and assistant professor Rachel Karchin. (
  • Verification of electro-mechanic models of the heart require a good amount of reliable, high resolution, thorough in-vivo measurements. (
  • Computational fluid dynamics modeling is useful in the study of the hemodynamic environment of cerebral aneurysms, but patient-specific measurements of boundary conditions, such as blood flow velocity and pressure, have not been previously applied to the study of flow-diverting stents. (
  • We integrated patient-specific intravascular blood flow velocity and pressure measurements into computational models of aneurysms before and after treatment with flow-diverting stents to determine stent effects on aneurysm hemodynamics. (
  • These measurements defined inflow and outflow boundary conditions for computational models. (
  • Computational models incorporating these measurements demonstrated significant reductions in intra-aneurysmal wall shear stress and wall shear stress gradient and a trend in reduced intra-aneurysmal blood flow. (
  • Integration of intravascular dual-sensor guidewire measurements of blood flow velocity and blood pressure provided patient-specific computational models of cerebral aneurysms. (
  • However, non-invasive cardiac measurements in unsupervised settings are error-prone. (
  • Initial system-level applications that will motivate our research include: designing new nano-materials that comprise interactions at multiple scales and dimensions, understanding malignant cancerous cell behavior, integrating psychological and mechanistic models of happiness and learning with real-time measurements, and characterizing environment factors that result in drastic climate change. (
  • 2014 Left Atrial Segmentation Challenge: A Unified Benchmarking Framework in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. (
  • Download ebook Statistical Atlases and Computational Models of the Heart. (
  • D cardiac tissue. (
  • Understanding the role of mechanical and mechano-chemical interactions in cell processes, tissue development, regeneration and disease has become a rapidly expanding research field in the life sciences.To reveal the patterning potential of mechano-chemical interactions, we have developed two classes of mathematical models coupling dynamics of diffusing molecular signals with a model of tissue deformation. (
  • First we derived a model based on energy minimisation that leads to 4-th order partial differential equations of evolution of infinitely thin deforming tissue (pseudo-3D model) coupled with a surface reaction-diffusion equation. (
  • The second approach (full-3D model) consists of a continuous model of large tissue deformation coupled with a discrete description of spatial distribution of cells to account for active deformation of single cells. (
  • The models account for a range of mechano-chemical feedbacks, such as signalling-dependent strain, stress, or tissue compression. (
  • Multimodal cardiovascular imaging plays an important role in defining the computational domain, the boundary/initial conditions, and tissue function and properties. (
  • discusses the predictive modeling of digital histopathological images from a detection, segmentation, feature extraction, and tissue classification perspective. (
  • In this paper, we propose to use the Generalized Polynomial Chaos (gPC) expansion in combination with Galerkin projection to analytically quantify parametric uncertainty in ion channel models of mouse ventricular cell, and further propagate the uncertainty across different organizational levels of cell and tissue. (
  • Following this, gPC was integrated with deterministic cardiac models to propagate uncertainty through ion current, ventricular cell, 1D cable, and 2D tissue to account for the stochasticity and cell-to-cell variability. (
  • Analyzing Remodeling of Cardiac Tissue: A Comprehensive Approach Based on Confocal Microscopy and 3D Reconstructions. (
  • Microstructural characterization of cardiac tissue and its remodeling in disease is a crucial step in many basic research projects. (
  • We present a comprehensive approach for three-dimensional characterization of cardiac tissue at the submicrometer scale. (
  • Our results show that the developed approach yields comprehensive data on microstructure of cardiac tissue and its remodeling in disease. (
  • Notably, our study introduces comprehensive statistical information on tissue composition and extracellular conductivities on a microscopic scale in the MI border zone. (
  • A semi-automatic approach for segmentation of three-dimensional microscopic image stacks of cardiac tissue. (
  • The segmentation of three-dimensional microscopic images of car- diac tissues provides important parameters for characterizing cardiac diseases and modeling of tissue function. (
  • Integrative Approaches in Computational Biomedical Imaging. (
  • Computational approaches to modelling biological systems. (
  • The initiative will focus on fundamental advances to the integration of the core areas of modeling approaches, machine learning and computation. (
  • Efficient computation is a critical enabler in all these approaches, and innovations are sorely needed to address the scale of the processing required in modeling spatial, temporal and networked dynamic systems, and seamless integrating processing from sensors, distributed embedded processors, heterogeneous complex networks and heterogeneous processing facilities. (
  • I am a member of the American Statistical Association and the International Biometric Society, and became a Fellow of the American Statistical Association in 2019. (
  • Subjective surface Segmentation: This method is based on the idea of evolution of segmentation function which is governed by an advection-diffusion model. (
  • The remaining non-rigid motion at end-diastole is modelled by a radial basis function based warping of 2D centerlines. (
  • The macroscopic active tension generated on the microscopic branching structure is modeled by a multidirectional active stress tensor, which is defined as a function of the strains in the branching directions. (
  • A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape and wall motion and characterize cardiac function among and within population groups. (
  • Modeling effects of voltage dependent properties of the cardiac muscarinic receptor on human sinus node function. (
  • It is obviously important to prevent infarction since it limits cardiac function, induces arrhythmias and may result in death. (
  • The thresholds, measured using a double-random staircase technique with added signal-absent images, are modeled as a function of illuminance at the eyes and angular distance between the veiling glare source and the detection target. (
  • It is important to address the uncertainty and variability in cardiac modeling to provide reliable and realistic predictions of heart function, thus ensuring trustworthy computer-aided medical decision-making and treatment planning. (
  • The papers cover a wide range of topics such cardiac image processing, atlas construction, statistical modeling of cardiac function across different patient populations, cardiac mapping, cardiac computational physiology, model customization, image-based modelling and image-guided interventional procedures, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analysis. (
  • Multi-dimensional structure function relationships in human β-cardiac myosin from population scale genetic variation. (
  • Confocal Microscopy-Based Estimation of Parameters for Computational Modeling of Electrical Conduction in the Normal and Infarcted Heart. (
  • Cardiac left ventricle segmentation using convolutional neural network regression. (
  • We obtained data from 11 STEMI patients ( NCT01717573) and 27 healthy volunteers, and developed personalized mathematical models for the left ventricle (LV) using an immersed boundary method. (
  • Young, A.A., Frangi, A.F.: Computational cardiac atlases: from patient to population and back. (
  • The identification and analysis of several cationic ion channels and their associated genes have greatly improved our understanding of the molecular and cellular mechanisms of cardiac arrhythmia. (
  • It fills in a genuine gap between molecular techniques and computational tools in familial disease studies. (
  • Strengths include: computational modelling and systems biology, mechanisms controlling gene regulation through protein translation, molecular and metabolic network analysis, neglected and emerging tropical diseases, bacteria and virus-host interactions. (
  • C H . Bayer , H.A. Hoel , A. Kadir , P. Plechac , M. Sandberg , A. Szepessy , Computational error estimates for Born--Oppenheimer molecular dynamics with nearly crossing potential surfaces , Applied Mathematics Research Express, 2015 (2015), pp. 329--417. (
  • Representing Variability and Transmural Differences in a Model of Human Heart Failure. (
  • At computational anatomy's heart is the comparison of shape by recognizing in one shape the other. (
  • However, automated LA segmentation from cardiac MRI is challenging due to limited image resolution, considerable variability in anatomical structures across subjects, and dynamic motion of the heart. (
  • Herum KM, Lunde IG, McCulloch AD, Christensen G (2017) The Soft- and Hard-Heartedness of Cardiac Fibroblasts: Mechanotransduction Signaling Pathways in Fibrosis of the Heart. (
  • Dewan S, Krishnamurthy A, Kole D, Conca G, Kerckhoffs R, Puchalski MD, Omens JH, Sun H, Nigam V, McCulloch AD (2017) Model of Human Fetal Growth in Hypoplastic Left Heart Syndrome: Reduced Ventricular Growth Due to Decreased Ventricular Filling and Altered Shape. (
  • Functional Imaging and Modelling of the Heart. (
  • Mathematical modeling of the heart, as many other models in biomedical sciences, involves a large number of parameters and simplifying approximations. (
  • Covers cardiac images and computational models in Congenital Heart Disease (CHD) patients. (
  • The cardiac muscarinic receptor (M2R) regulates heart rate, in part, by modulating the acetylcholine (ACh) activated K+ current IK,ACh through dissociation of G-proteins, that in turn activate KACh channels. (
  • However, developing these techniques in the heart is challenging as it requires a consistent and accurate approach to co-registering and transforming the cardiac MR images acquired in a longitudinal study. (
  • F12: Improved control of cardiac pacemakers in heart failure - Oslo Universitetssykehus. (
  • Zebrafish is a clinically-relevant model of heart regeneration. (
  • To detect genes with potential biological roles, we derived computational prediction models with microarray data from heart amputation experiments. (
  • Variation in the β-cardiac myosin gene ( MYH7 ) can lead to hypertrophic cardiomyopathy (HCM), a heritable disease characterized by cardiac hypertrophy, heart failure, and sudden cardiac death. (
  • He then built a risk model that revealed specific risk factors associated with heart attack risk. (
  • Cardiac catheterization is a radiological procedure for both diagnosis and treatment of heart conditions. (
  • Tan PM, Buchholz KS, Omens JH, McCulloch AD, Saucerman JJ (2017) Predictive model identifies key network regulators of cardiomyocyte mechano-signaling. (
  • McCulloch AD (2017) The future of computational physiology and medicine. (
  • Herum KM, Choppe J, Kumar A, Engler AJ, McCulloch AD (2017) Mechanical regulation of cardiac fibroblast pro-fibrotic phenotypes. (
  • is mostly about pathology classification in the dataset of Automatic Cardiac Diagnosis Challenge (ACDC) of MICCAI 2017, which contains 100 cases with labels. (
  • Our approach is applied to successfully quantify numerical error in the solution to a challenging Bayesian model choice problem in cellular biology. (
  • For example the Center for Computational Biology at UCLA ( provides 'middleware' applications and software required to provide secure, web-based access to the underlying computational and network resources, including the International Consortium for Brain Mapping ( (
  • PLOS Computational Biology. (
  • A. Caiazzo , G. Montecinos , L.O. Müller , E.M. Haacke , E.F. Toro , Computational haemodynamics in stenotic internal jugular veins , Journal of Mathematical Biology, 70 (2015), pp. 745--772. (
  • A. Caiazzo , I. Ramis - Conde , Multiscale modeling of palisade formation in glioblastoma multiforme , Journal of Theoretical Biology, 383 (2015), pp. 145--156. (
  • It has applications in areas such as medical imaging and scientific visualization, but its use has been limited by its high computational expense. (
  • Although these in vitro studies have provided critical insights regarding shear sensitive mechanisms in cultured endothelial cells using modeled flow conditions, it cannot be assumed whether identical mechanisms are responsible for flow-dependent changes in vessels in vivo and vascular diseases such as atherosclerosis. (
  • Computational modeling is an important tool to advance our knowledge on cardiac diseases and their underlying mechanisms. (
  • I will show in which ways the tailored computational prototypes are particularly important for determining system behavior when non-linear and stochastic phenomena co-exist and interfere with each other. (
  • A. Gasnikov , E. Gasnikova , P. Dvurechensky , E. Ershov , A. Lagunovskaia , Searching for the stochastic equilibria in the transport models of equilibrium flow distribution (in Russian) , Proceedings of Moscow Institute of Physics and Technology, 7 (2015), pp. 114--128. (
  • Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approach. (
  • Bayesian models for multiple outcomes in domains with application to the Seychelles Child Development Study. (
  • Bayesian Models for Multiple Outcomes Nested in Domains. (
  • Experimental results reveal that our method can segment the left and right ventricles as well as the myocardium from a 3D MRI cardiac volume in 0.4 s with an average Dice coefficient of 0.90 and an average Hausdorff distance of \(10.4\) mm. (
  • Synchronous activation of all of the myocardium provides an unrealistic timing of hemodynamic events in the cardiac cycle. (
  • Right ventricle segmentation from cardiac MRI: a collation study. (
  • It is similar in spirit to the history of Computational linguistics, a discipline that focuses on the linguistic structures rather than the sensor acting as the transmission and communication media. (
  • These data and results are available from the Cardiac Atlas Project ( ). (
  • The Cardiac Atlas Project--An Imaging Database for Computational Model" by Carissa G. Fonseca, Michael Backhaus et al. (
  • As a part of her Ph.D. studies, she is building dynamical prediction models based on analysis of gene expression data generated by the Drug Toxicity Signature Generation Center at ISMMS. (
  • Experimental, theoretical and computational work has shown that the lens supports its own microcirculation. (
  • Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom. (
  • Tran, P.V.: A fully convolutional neural network for cardiac segmentation in short-axis MRI. (
  • Citation Query Nonlinear principal component analysis: Neural network models and applications. (
  • They have been modeled by =-=[32]-=- using an auto-associative neural networks based on a 19-30-10-30-19 network. (
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  • Using transfer learning from a number of pretrained image classification neural nets such a Google's Inception, the classification accuracy of our new models exceeded 70 percent. (
  • While closely related to the field of medical imaging, MIC focuses on the computational analysis of the images, not their acquisition. (
  • Cardiac motion analysis in ischemic and non-ischemic cardiomyopathy using parallel transport. (
  • Outlier identification in model-based cluster analysis. (
  • Efficient and robust statistical representations of cardiac morphology and morphodynamics can thereby be obtained, enabling quantitative analysis on images based on such representations. (
  • His work focuses on the development of deep generative models for the analysis of cardiac spectral CT images. (
  • Non-invasive tomographic imaging in combination with shape analysis is leading to an increasing number of applications exploiting these data through statistical analysis of cardiac shape and motion [ 9 ]. (
  • By exploiting statistical correlations in this hierarchy, we observed a reduction of the computational cost by at least two orders of magnitude, enabling to perform a full analysis within a reasonable time frame. (
  • This database is based on computational models to improve quantitative analysis of ventricular remodeling. (
  • We perform unsupervised analysis of image-derived shape and motion features extracted from 3822 cardiac 4D MRIs of the UK Biobank. (
  • is one of the very first projects to propose a fully automatic, high throughput image parsing workflow for the analysis of cardiac MRI in UK Biobank with systematic tests of the performance. (
  • All projects within biosciences and medicine will require statistical analysis of data. (
  • Across in vivo models, the top candidates showed highly concordant responses at 1 and 3 days post-injury, which highlights the predictive power of our analysis strategies and the possible biological relevance of these genes. (
  • Besides, response to drugs is well conserved between fish and mammals [ 18 ], making zebrafish a widely used model for toxicological analysis and to study the possible cardiac effects of chemical compounds. (
  • P. Colli , A. Signori , J. Sprekels , Second-order analysis of an optimal control problem in a phase field tumor growth model with singular potentials and chemotaxis , ESAIM. (
  • however, all projects will require some statistical analysis. (
  • His research has been at the intersection of signal processing, mathematical modeling, and statistical analysis in relation to physical, biological, and engineered systems. (
  • and 2) system-theoretic modeling and performance analysis of microfluidics-based lab-on-a-chip systems. (
  • Contributed with one of the statistical methodologies and analysis in the paper. (
  • To identify the most significant parametric uncertainty in cardiac ion channel and cell models, variance decomposition-based sensitivity analysis was first performed. (
  • N. Ahmed , G. Matthies , Higher order continuous Galerkin--Petrov time stepping schemes for transient convection-diffusion-reaction equations , ESAIM: Mathematical Modelling and Numerical Analysis, 49 (2015), pp. 1429--1450. (
  • Initial results on development and application of statistical atlas of femoral cartilage in osteoarthritis to determine sex differences in structure: data from the Osteoarthritis Initiative. (
  • The full model explains additional data of some significance. (
  • We aim to compare models to data measured experimentally to identify the effect of using a mathematical model of fibre orientation versus the measured fibre orientations using DT-MRI. (
  • These parametric modeling tools and associated ontological schema also facilitate data fusion between different imaging protocols and modalities as well as other data sources. (
  • In particular, the Biomedical Informatics Research Network ( provides a number of tools to facilitate collaborative research among neuroscientists and medical scientists, making use of computational and networking technologies and addressing issues of user authentication, data integrity, security, and data ownership. (
  • Model-based clustering for noisy longitudinal circular data, with application to animal movement. (
  • and (iii) open data formats for semantic characterization of models and annotations. (
  • We also found that model-derived shape metrics, such as the anterior-posterior radius, were better predictors than equivalent metrics taken directly from MRI or echocardiography, suggesting that the proposed approach leads to a reduction of the impact of data artifacts and noise. (
  • Moreover, the path-length of each data point during cardiac period was calculated and sketched in bulls-eye format. (
  • Such a model should provide a rational basis for the interpretation of perfusion data obtained in control and exercise conditions. (
  • This project will benefit from the huge amount of imaging data stored in health information systems, and build statistical atlases of the cardiac ventricles and main vessels. (
  • Most existing dimensionality reduction and clustering packages for single cell RNA-Seq (scRNASeq) data deal with dropouts by heavy modelling and computational machinery. (
  • Capturing cell type-specific chromatin structural patterns by applying topic modeling to single-cell Hi-C data. (
  • While each of these areas represent a rich technology base, the future lies in their integration to allow the development of smart modeling of complex systems and quantitative model-based learning that can leverage compute-enabled discovery to truly take advantage of the explosion of available data. (
  • The modeling challenges in these applications inherently involve huge volumes of data. (
  • Our model of computation includes software and hardware at all these levels and involves data structures, algorithms, architectures and application-specific devices. (
  • We combine structural models of myosin from multiple stages of its chemomechanical cycle, exome sequencing data from two population cohorts of 60,706 and 42,930 individuals, and genetic and phenotypic data from 2,913 HCM patients to identify regions of disease-variant enrichment within β-cardiac myosin. (
  • Our study provides a model for integrating protein structure, large-scale genetic sequencing and detailed phenotypic data to reveal insight into time-shifted protein structures and genetic disease. (
  • The essence of this work essentially lies in the introduction of clustering techniques instead of purely statistical modeling, where the latter has its own limitations in 'data-model fitting' compared to the former that is more flexible," Chattopadhyay explains. (
  • Using the experimental data, she was able to refine her mathematical model. (
  • We suggest that the presented data fill a significant gap in modeling parameters and extend our foundation for computational modeling of cardiac conduction. (
  • Although the LA areas can be defined through intensity gradients between the blood pool and surrounding tissues, the adjacent anatomical structures, such as other cardiac chambers, the descending aorta, and the coronary sinus, present signal intensities similar to that of the blood pool, and even manual segmentations by expert raters may show significant variations. (
  • To date, approximately 3000 de-identified cardiac imaging examinations are available in the database. (
  • This has not been well studied by cardiac imaging. (
  • Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. (
  • Modeling Eye Movement Patterns to Characterize Perceptual Skill in Image-based Diagnostic Reasoning Processes. (
  • Matching sparse sets of cardiac image cross-sections using large deformation diffeomorphic metric mapping algorithm. (
  • Thereby, it is focusing on the areas of medical image processing, modeling of the cardiovascular system and modeling of biomaterials. (
  • Our method is able to create a simple 3D model of the scene and also to provide semantic labels of the different objects and areas in the image, like for example cars, sidewalks, and buildings. (
  • Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing. (
  • Consensus contours were generated for each image according to a statistical optimization scheme that maximized contour placement agreement between readers. (
  • This database is composed of images acquired in the standard image planes of axial, coronal and sagital to the cardiac specific planes of long and short axes. (
  • Computational models of conduction in cardiac tissues require identification of parameters. (
  • Here, we assessed and quantified parameters for computational modeling of conduction in cardiac tissues. (
  • To this end, mathematical models and signal processing algorithms need to be tailored and customized based on the individual variations and time-varying dynamics of the sensed phenomena. (
  • This challenge attracted 11 research groups worldwide with different ways to extract optimal features from the left ventricular shapes and varying machine learning algorithms, including random forests, support vector machines and point distribution models. (