Imaging signal processing computer assisted. Medical search. Frequent questions

These particles, in fact, showed the best combination of number concentration and diameter value to obtain an effective enhancement on conventional echographic images. (cnr.it)
We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). (joet.org)
For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. (joet.org)
Image Fusion showed good performance in terms of color correction and sharpness enhancement. (joet.org)
This enhancement is observed only at longer latencies, suggesting the possibility that it reflects the action of feedback or return signals from upstream processing areas. (ox.ac.uk)
Using human functional magnetic resonance imaging (fMRI), we demonstrate enhancement of activity in early visual areas even when low-level visual information is insufficient for target detection to occur. (ox.ac.uk)

Two novel image denoising algorithms are proposed which employ goodness of fit (GoF) test at multiple image scales. (essex.ac.uk)
This review investigates several state-of-the-art contrastive SSL algorithms originally on natural images as well as their adaptations for medical images, and concludes by discussing recent advances, current limitations, and future directions in applying contrastive SSL in the medical domain. (springer.com)
Various algorithms have been devised to improve the hue, contrast, and clarity of underwater images. (joet.org)
Additional research activities will include the development of signal processing algorithms to maximize image quality and information content, and the development of quantitative 3-dimensional volume analysis algorithms. (grantome.com)

Rapid screening for COVID-19 by applying artificial intelligence to chest computed tomography images: A feasibility study. (cdc.gov)
Alternatively, cryo-electron tomography (cryo-ET) offers the potential to image unfixed cellular samples at higher resolution while preserving their native structures, but it requires samples to be frozen free from crystalline ice and thin enough to image via transmission EM. (bvsalud.org)
The sensitivity of magnetic resonance imaging (MRI) to flowing blood and blood products of varying ages, as well as the greater contrast resolution of MRIs, greatly increases the specificity of MRI over that of computed tomography (CT) scanning. (medscape.com)

Guest editor, J Math Imaging Vis on Discrete Geometry and Mathematical Morphology , Springer 2022. (uu.se)
of the Workshop on Biomedical Image Registration, WBIR 2022. (uu.se)
2022) Image quality and perception: introduction. (ntnu.no)
Journal of medical imaging (Bellingham, Wash.) 2022 0 0. (cdc.gov)
EURASIP journal on advances in signal processing 2022 0 0. (cdc.gov)

Medical Imaging 2003: Ultrasonic Imaging and Signal Processing. (queensu.ca)

Fusaglia M, Hess H, Schwalbe M, Peterhans M, Tinguely P, Weber S, Lu H (2016) A clinically applicable laser-based image-guided system for laparoscopic liver procedures. (crossref.org)
Imaging 2016;44:105-111. (ox.ac.uk)
SPIE Medical Imaging 2016. (queensu.ca)

Computer Assisted Medical Intervention (CAMI thereafter) is a complex multi-disciplinary field. (imag.fr)
Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010. (queensu.ca)
Workshop on Systems and Architectures for Computer Assisted Interventions, held in conjunction with the 11th International Conference on Medical Image Computing and Computer Assisted Intervention. (queensu.ca)

IEEE International Symposium on Biomedical Imaging. (queensu.ca)
Procedings 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro ISBI 2008. (queensu.ca)

Conclusions: Silica nanoparticles at a diameter of about 330 nm are very promising contrast agents for ultrasound imaging and specific tumor targeting at conventional diagnostic frequencies, being in particular automatically detectable with high sensitivity already at low doses. (cnr.it)
Additionally, gradient-echo imaging, with its increased sensitivity to susceptibility artifact, is useful in the detection of smaller and concomitant lesions, which may not be detected with traditional sequences. (medscape.com)
In 2008, Mehrotra et al emphasized the value of the brush biopsy technique in evaluating oral lesions without the aid of computer-assisted technology, although they reported marginally lower sensitivity and specificity. (medscape.com)

In the interpretation of medical images - a niche where AI models have made great strides - the AI workflow starts with images that have been read and annotated by human experts. (cdc.gov)
The AI model can analyze and interpret images and compare its interpretation to that of human experts. (cdc.gov)
AI can then learn and refine its interpretation models over time and after analyzing numerous images. (cdc.gov)

Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2, (Ed. A. Walter, J. G. Mannheim, C. J. Caruana. (uu.se)
It is unclear how much different imaging modalities should be weighted in decision-making. (henryford.com)
Today, most companies producing imaging devices (termed acquisition modalities) include DICOM image identification. (medscape.com)

This track puts the focus on medical devices using electronics and digitalization, covering topics from the area of signal acquisition and processing, control theory, and includes general aspects of modelling and simulation in biomedical engineering. (unibas.ch)
Computer Assisted Surgery: Students, in the module Computer-Assisted Surgery, gain a comprehensive understanding of the fundamentals to develop new and existing methods for surgeons and medical staff in the complex environment of operating rooms in hospitals such as the principles of surgical navigation and robotic systems, computer-assisted surgery planning, modelling, simulation and execution by smart tools, robots and visualization systems. (unibas.ch)
In February 2010, the DICOM group that represents the dentistry specialty met to discuss issues related to the DICOM standards, including the use of imaging in diagnosis, treatment simulation, treatment guidance, and tissue restoration. (medscape.com)

The advancements in the field of ML have led to more intelligent and self-reliant computer-aided diagnosis (CAD) systems, as the learning ability of ML methods has been constantly improving. (jmir.org)
CONCLUSION: PVR is a novel way to present volumetric data and may enable noninvasive diagnostic endoscopy and provide an alternate method to analyze volumetric imaging data for primary diagnosis. (rsna.org)
A deep adversarial model for segmentation-assisted COVID-19 diagnosis using CT images. (cdc.gov)
Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis. (cdc.gov)
SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review. (cdc.gov)
Second, AI can learn from data without any labels or annotations (e.g. image labelled with a known medical diagnosis), a process known as unsupervised learning. (cdc.gov)
With this in mind, the development of the brush biopsy (Oral CDx R) coupled with a computer-assisted method of analysis has brought accurate diagnosis, ease of performance, and patient acceptance into daily practice. (medscape.com)
Examples are self-driving cars, augmented reality and cancer diagnosis from medical images. (lu.se)

7th Imaging Symposium of the Imaging Network of Ontario. (queensu.ca)

She joins this professional experience with a research profile characterized by collaborations across the fields of art history, natural science, imaging science, artificial intelligence and social science. (uva.nl)
A recent Nature Medicine article discusses promising uses of artificial intelligence in medicine, particularly in medical imaging and big data integration, and considers technical and ethical challenges for their applications in improving human health. (cdc.gov)
Computer vision is a field of computer science and artificial intelligence with the aim of enabling computers to process, analyze and understand digital images. (lu.se)

A dictionary containing possible signal evolutions with physiological range of T1 and T2 was created using the extended phase graph formalism according to the acquisition parameters. (nih.gov)
The students pursuing our program can specialize in a broad range of subdisciplines, including implants and regenerative technologies, image acquisition and therapies, computer assisted surgeries, or on diagnostic and therapeutic technologies. (unibas.ch)
During the third semester , the tracks progress towards our specialization foci, including Computer Assisted Surgery, Image Acquisition and Analysis, Diagnostic and Therapeutic Technologies, and Implants and Regenerative Technologies. (unibas.ch)
This track sets the stage for 3rd semester specializations in computer assisted surgery, image acquisition and analysis, or diagnostic and therapeutic technologies. (unibas.ch)
We discuss three areas of advance in diffusion MRI: improving image fidelity, accelerating acquisition, and increasing the signal-to-noise ratio. (ox.ac.uk)
At identical SPSI however, oblate B-tensors yield higher signal and may be more robust to acquisition noise than their prolate counterparts. (springer.com)
Materials and Methods: Silica nanospheres of variable size (160, 330, and 660 nm in diameter) and concentration (10 10-10 13 part/mL) were dispersed in different custom-designed agarose-based gel samples and imaged at 7.5 MHz with a conventional echograph linked to a research platform for radiofrequency signal acquisition. (cnr.it)
Studies inother species and with fresh samples are needed to extrapolate these data.WIDER IMPLICATIONS OF THE FINDINGS: These findings strongly suggest an important role of extracellular cAMP in the regulationof the signalling pathways involved in the acquisition of bull sperm fertilizing capability. (conicet.gov.ar)
[ 1 , 2 ] With this conversion from legacy to digital imaging has emerged the need for a software strategy that allows the communication of patient, diagnostic, and other acquisition data along with the imaging information. (medscape.com)
A DICOM file contains a patient's x-ray image or series of images and other patient-related information (e.g., patient name, identification number, acquisition modality) as selected from a library of standardized terms. (medscape.com)
By using a standardized format, the images and associated data can be viewed regardless of the proprietary acquisition modality that was used to take the imaging study, allowing for cross-vendor interoperability or connectivity. (medscape.com)
In DICOM terminology, the device used to take an image is called an acquisition modality. (medscape.com)

Convolutional neural networks for medical image analysis: Full training or fine tuning? (springer.com)
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. (springer.com)
It is known that manipulating 5-HT via acute tryptophan depletion (ATD) causes variable effects on brain responses to a variety of emotional stimuli, but it remains unclear whether ATD affects functional connectivity in neural networks involved in processing social signals of aggression (e.g., angry faces). (ox.ac.uk)

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (crossref.org)

SPIE Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling. (queensu.ca)

Computer Assisted Radiology and Surgery, 29th International Congress. (queensu.ca)

Clinical imaging 2021 1 0. (cdc.gov)

Bartoli A, Collins T, Bourdel N, Canis M (2012) Computer assisted minimally invasive surgery: Is medical computer vision the answer to improving laparosurgery? (crossref.org)
Hughes-Hallett A, Pratt P, Dilley J, Vale J, Darzi A, Mayer E (2015) Augmented reality: 3d image-guided surgery. (crossref.org)
Clements LW, Chapman WC, Dawant BM, Galloway RL, Miga MI (2008) Robust surface registration using salient anatomical features for image-guided liver surgery: algorithm and validation. (crossref.org)
Cash DM, Miga MI, Glasgow SC, Dawant BM, Clements LW, Cao Z, Galloway RL, Chapman WC (2007) Concepts and preliminary data toward the realization of image-guided liver surgery. (crossref.org)
2008 MICCAI Workshop - Augmented Environments for Medical Imaging and Computer-Aided Surgery (AMI-ARCS). (queensu.ca)
8th Annual Meeting of Computer Assisted Orthopedic Surgery International (CAOS). (queensu.ca)

METHODS AND MATERIALS: The volumes, means and standard deviations of FLAIR intensity and means of normalized ictal-interictal SPECT intensity of the left and right hippocampi were extracted from preoperative images of a retrospective cohort of 45 mTLE patients with Engel class I surgical outcomes, as well as images of a cohort of 20 control, nonepileptic subjects. (henryford.com)
Proposed methods operate by employing the GoF tests locally on the wavelet coefficients of a noisy image obtained via discrete wavelet transform (DWT) and the dual tree complex wavelet transform (DT-CWT) respectively. (essex.ac.uk)
The performance of the proposed methods is validated by comparing them against the state of the art image denoising methods. (essex.ac.uk)
MATERIALS AND METHODS: Perspective views of helical CT and MR images were reconstructed from the data, and tissues were classified by assigning color and opacity based on their CT attenuation or MR signal intensity. (rsna.org)
MATERIALS AND METHODS: In phase 1 of the study, a respiratory bellows belt was applied to patients before image-guided interventional procedures. (mcmaster.ca)
The methods used in this work include western blot, immunohistochemistry,flow cytometry, computer-assisted semen analysis, live imaging of Ca2+ and fluorescence scanning. (conicet.gov.ar)
In this paper, we introduced two methods of ultrasound elastomicroscopy using water jet and osmosis loading for imaging the elasticity of biological soft tissues with high resolutions. (who.int)
For instance, one study used AI methods to analyze whole-slide images and demonstrated that their model was more accurate in predicting patient survival from malignant mesothelioma, compared to current pathology practices. (cdc.gov)
AI methods have been used to predict outcomes from medical signal data, such as electroencephalograms (EEG), electrocardiograms, and audio data. (cdc.gov)
More concretly, our research can roughly be divided into localization, positioning and mapping, medical image analysis, machine learning methods and optimization. (lu.se)
It includes methods of forestalling interference by computer viruses or computer hackers aiming to compromise stored data. (bvsalud.org)

Diffusion magnetic resonance imaging (MRI) is a standard imaging tool in clinical neurology, and is becoming increasingly important for neuroscience studies due to its ability to depict complex neuroanatomy (eg, white matter connectivity). (ox.ac.uk)

We report the first published case study of a suddenly occurring panic attack in a patient with no prior history of panic disorder during combined functional magnetic resonance imaging (fMRI, 1.5 Tesla) and electrocardiogram (ECG) recording. (ox.ac.uk)

Thompson S, Totz J, Song Y, Johnsen S, Stoyanov D, Ourselin S, Gurusamy K, Scheider C, Davidson B, Hawkes D, Clarkson MJ (2015) Accuracy validation of an image guided laparoscopy system for liver resection. (crossref.org)
An experiment using 18 liver metastases imaged before and after treatment with a vascular endothelial growth factor (VEGF) inhibitor showed significant differences for surface area to volume ratio computed for extruded K trans and v e maps (p = 0.0013 and p = 0.045 respectively). (westminster.ac.uk)

RESULTS: PVR fly-through enabled evaluation of the full range of tissue densities, signal intensities, and their three-dimensional spatial relationships. (rsna.org)
Here we present a method for generating lamellae in human brain tissue obtained at time of autopsy that can be imaged via cryo-ET. (bvsalud.org)

Automated detection of COVID-19 through convolutional neural network using chest X-ray images. (springer.com)
Off-line analysis included evaluation of backscattered ultrasound amplitude, image brightness, and nanoparticle automatic detection through radiofrequency signal processing. (cnr.it)
2018). Real-time transverse process detection in ultrasound . (queensu.ca)
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images. (cdc.gov)
Some systems, as described in more detail below, also require that other vehicles and personnel on the ground be outfitted with electronic tags that transmit an "I'm here" signal back to the system (e.g., radio signal detection systems or GPS). (cdc.gov)
Certain infectious diseases such as multidrug-resistant (MDR) TB, meningococcal meningitis, and botulism warrant prompt detection of all cases because they cause substantial morbidity and mortality, require specific public health interventions, or may signal a potential outbreak. (cdc.gov)

IEEE Transactions on Medical Imaging. (queensu.ca)

VipIMAGE 2019 will bring together in Porto, Portugal, several researchers from around the world representing different fields of study related to Computational Vision or Medical Image Processing, with invited lecturers from top level international researchers, maintaining the same high scientific quality of the previous six editions. (up.pt)
In Proceedings of the 33rd International Conference on Neural Information Processing Systems , Vancouver, Canada, Article number 301, 2019. (springer.com)
ICWiSE 2019 is sponsored by IEEE Computer Society Malaysia. (wikicfp.com)

Single-shot echo-planar imaging is currently the predominant formation method for diffusion MRI, but suffers from blurring, distortion, and low spatial resolution. (ox.ac.uk)
PURPOSE: The aim of this study was to develop, implement, and demonstrate a three-dimensional (3D) extension of the readout-segmented echo-planar imaging (rs-EPI) sequence for diffusion imaging. (ox.ac.uk)

It requires for example patient-specific models built from medical image analysis and reconstruction, image or mesh registration an efficient and trustworthy simulations. (imag.fr)

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. (uu.se)
Numerous software systems (termed picture archiving and communication systems, or PACS) have been developed to allow for the storage, retrieval, and viewing of digital DICOM images. (medscape.com)

Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body. (wikipedia.org)
MRI is a medical application of nuclear magnetic resonance (NMR) which can also be used for imaging in other NMR applications, such as NMR spectroscopy. (wikipedia.org)
dubious - discuss] In most medical applications, hydrogen nuclei, which consist solely of a proton, that are in tissues create a signal that is processed to form an image of the body in terms of the density of those nuclei in a specific region. (wikipedia.org)
For instance, it is possible to use statistical or physical procedures on medical images in order to model the imaged structures. (up.pt)
The main objective of these ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing is to promote a comprehensive forum for discussion on the recent advances in the related fields trying to identify widespread areas of potential collaboration between researchers of different sciences. (up.pt)
Machine learning (ML) has become a vital part of medical imaging research. (jmir.org)
It combines a thorough understanding of the functioning of the human body and the influence of disease processes with an equally comprehensive understanding of medical technology and professional medical procedures. (tudelft.nl)
CamiTK is an open-source, cross-platform generic tool written in C++ which can handle medical images, surgical navigations and biomedicals simulations. (imag.fr)
But, the application of deep learning in medical image analysis is limited by the scarcity of high-quality annotated medical imaging data. (springer.com)
Transfusion: Understanding transfer learning for medical imaging. (springer.com)
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. (springer.com)
In addition to AI for medical image analysis, the review paper presents three promising avenues for AI. (cdc.gov)
First, AI can learn from non-image data sources, such as text and genome sequences, and can broaden the array of possible datasets that can be used for medical insights and drug discovery. (cdc.gov)
DICOM (Digital Imaging and Communication in Medicine) is a standard for handling, storing, printing, and transmitting information in medical imaging. (medscape.com)
N A A B A B A A A N B A ABSTRACT "E-health" is a generic term covering the use of computer and communication applica- tions and technologies in health and medical care. (who.int)

Diffusion MRI and functional MRI extend the utility of MRI to capture neuronal tracts and blood flow respectively in the nervous system, in addition to detailed spatial images. (wikipedia.org)
taken directly from the application) The O'Brien Center for Advanced Renal Microscopic Analysis will provide the resources and expertise necessary to apply structural and functional imaging technologies to further the understanding of renal disease processes. (grantome.com)
On each treatment, brain responses to angry, sad, and neutral faces were measured with functional magnetic resonance imaging. (ox.ac.uk)

Cignoni P, Callieri M, Corsini M, Dellepiane M, Ganovelli F, Ranzuglia G (2008) MeshLab: an open-source mesh processing tool. (crossref.org)

Co-editor, Combinatorial Image Analysis , Springer 2020. (uu.se)
This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. (tenlong.com.tw)

Workshop on Clinical Image-Guided Therapy: Opportunities and Needs. (queensu.ca)

Introduction-Computer-assisted analysis of multimodal image data. (uu.se)
PURPOSE: To use perspective volume rendering (PVR) of computed tomographic (CT) and magnetic resonance (MR) imaging data sets to simulate endoscopic views of human organ systems. (rsna.org)
Over the last decade, supervised deep learning on manually annotated big data has been progressing significantly on computer vision tasks. (springer.com)
High-resolution diffusion tensor imaging data acquired with the cardiac-reordered multi-slab rs-EPI sequence are presented. (ox.ac.uk)
Marius Pedersen har en bachelor i ingeniørfag, data (2006) og har en master i teknologi, medieteknikk (2007), begge fra Høgskolen i Gjøvik. (ntnu.no)

Moreover, the supplementation of incubationmedia with cAMP abolishes the inhibition and leads to sperm capacitation, suggesting that extracellular cAMP regulates crucial signalling cascadesinvolved in this process.STUDY DESIGN, SIZE, DURATION: Bovine sperm were selected by the wool glass column method, and washed by centrifugation inBSA-Free Tyrode?s Albumin Lactate Pyruvate (sp-TALP). (conicet.gov.ar)
When bovine articular cartilage specimens were immerged in solutions with different salt concentration, a 50 MHz focused ultrasound beam was used to monitor the dynamic swelling or shrinkage process. (who.int)

Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. (joet.org)
Because there was no additional attenuation when propagating from the ultrasound transducer to the specimen, the ultrasound signal with high signal-to-noise ratio could be collected from the specimens simultaneously with compressing process. (who.int)

In: Proceedings of the IEEE/CVF International Conference on Computer Vision. (crossref.org)

It is immune to the banding artifact of bSSFP due to B0 inhomogeneities, which could improve the ability to use MRF for applications beyond brain imaging. (nih.gov)
Compared to CT, MRI provides better contrast in images of soft tissues, e.g. in the brain or abdomen. (wikipedia.org)
Diffusion-weighted Imaging (DWI) is a non-invasive imaging technique based on Magnetic Resonance Imaging (MRI) principles to measure water diffusivity and reveal details of the underlying brain micro-structure. (frontiersin.org)
On one hand, conventional structural MRI sequences, such as T1- and T2-weighted images, can provide valuable morphological details of the brain and pathological conditions. (frontiersin.org)
These findings also suggest feedback signaling as a mechanism by which early and late brain systems coding for different properties of a target object can integrate their activity, allowing for the target object to dominate overall processing. (ox.ac.uk)
A whole-brain psycho-physiological-interaction in a general linear model showed that ATD significantly modulated the connectivity between the amygdala and two PFC regions (ventral anterior cingulate cortex and ventrolateral PFC) when processing angry vs. neutral and angry vs. sad but not sad vs. neutral faces. (ox.ac.uk)
For example, AI was recently applied to EEG signals from clinically unresponsive patients with brain injuries to detect brain activity, an important predictor of long-term recovery. (cdc.gov)

The aim of this work is to begin quantifying the performance of a recently developed activation imaging algorithm of Huiskamp and Greensite [IEEE Trans. (ox.ac.uk)

The goal is to bring together leading experts in the field of flows of soft materials, with a particular focus on neutrons and X-rays, but also complementary techniques including NMR, confocal microscopy, theory and computer modeling. (lu.se)

On the other hand, Diffusion Weighted Imaging (DWI) can measure the water diffusivity within tissues and reveal their microstructure and integrity ( 1 ). (frontiersin.org)
This will be accomplished by providing state of the art imaging systems for use in small animals (mice and rats), cultured cells and fixed tissues. (grantome.com)

MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to generate images of the organs in the body. (wikipedia.org)
MRI was originally called NMRI (nuclear magnetic resonance imaging), but "nuclear" was dropped to avoid negative associations. (wikipedia.org)
To perform a study, the person is positioned within an MRI scanner that forms a strong magnetic field around the area to be imaged. (wikipedia.org)
The RF signal may be processed to deduce position information by looking at the changes in RF level and phase caused by varying the local magnetic field using gradient coils. (wikipedia.org)
The major components of an MRI scanner are the main magnet, which polarizes the sample, the shim coils for correcting shifts in the homogeneity of the main magnetic field, the gradient system which is used to localize the region to be scanned and the RF system, which excites the sample and detects the resulting NMR signal. (wikipedia.org)
Magnetic Resonance Imaging (MRI) is a non-invasive imaging technique based on the principles of Nuclear Magnetic Resonance to reconstruct detailed images of the internal structure of the human body. (frontiersin.org)
International Society of Magnetic Resonance Imaging in Medicine, Tenth Scientific Meeting. (queensu.ca)

Although planar encoding has been commended for the resemblance of its signal with the voxel's orientation distribution function (ODF), linear encoding remains the near undisputed method of choice for orientation estimation. (springer.com)
COVID-19 Volumetric Pulmonary Lesion Estimation on CT Images using a U-NET and Probabilistic Active Contour Segmentation. (cdc.gov)

An MRF method based on a fast imaging with steady-state precession (FISP) sequence structure is presented. (nih.gov)
For the example presented, which involved two ectopic focii with large amounts of Gaussian noise (100 microV rms) present in the torso signals, the reconstructed activation sequence had a similarity index of 0.880 when compared to the input source. (ox.ac.uk)
The balanced steady-state free precession (bSSFP) sequence causes water and fat signals to have opposite phase when repetition time (TR) = 2.3 msec at 3T. (ox.ac.uk)

INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. (uu.se)

Unpaired image-to-image translation using cycle-consistent adversarial networks. (crossref.org)

We are the Division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences (Math-CVML). (lu.se)

Results from this prototype support the feasibility of a low-cost, pocket-sized, C-scan imaging device. (duke.edu)

Such an image is frequently documented by isolated anecdotes used to prove the universality of such behavior. (cdc.gov)

For instances, fully automatic or semi-automatic Computational Vision systems have been increasing used in surveillance tasks, traffic analysis, recognition processes, inspection purposes, human-machine interfaces, 3D vision and deformation analysis. (up.pt)
Fischler MA, Bolles RC (1981) Random sample consensus: paradigm for model fitting with applications to image analysis and automated cartography. (crossref.org)
In addition, this technique has been applied to other forms of analysis, including DNA image cytometry. (medscape.com)

Anatomy13

Organisms13

Diseases3

Chemicals and Drugs38

Analytical, Diagnostic and Therapeutic Techniques and Equipment60

Psychiatry and Psychology11

Phenomena and Processes67

Disciplines and Occupations9

Anthropology, Education, Sociology and Social Phenomena3

Technology, Industry, Agriculture7

Information Science65

Health Care20

Enhancement6

Algorithms4

Tomography3

20225

Ultrasonic Imaging and Signal Processing1

20163

Intervention3

International Symposium2

Sensitivity3

Interpretation3

Modalities3

Simulation3

Diagnosis8

Symposium1

Artificial Intelligence3

Acquisition12

Neural Networks3

Pattern Recognition1

SPIE Medical Imaging1

Radiology and Surgery1

20211

Surgery6

Methods11

Diffusion Magnetic Resonan1

FMRI1

Liver2

Tissue2

Detection6

IEEE Transactions1

20193

Echo-planar2

Reconstruction1

Retrieval2

Medical15

Functional3

Mesh1

20202

Workshop1

Data5

Bovine2

Attenuation2

Proceedings1

Brain7

Algorithm1

Confocal microscopy1

Tissues2

Magnetic7

Estimation2

Sequence3

Spatial1

Cycle-consistent adversarial1

Centre1

Feasibility1

Behavior1

Analysis3