... is a gradient echo sequence which combines a low-flip angle radio-frequency excitation of the nuclear magnetic resonance signal ... Journal of Computer Assisted Tomography. 10 (2): 363-368. doi:10.1097/00004728-198603000-00046. PMID 3950172.{{cite journal}}: ... "Magnetic resonance imaging in real time: Advances using radial FLASH". Journal of Magnetic Resonance Imaging. 31 (1): 101-109. ... "Rapid NMR imaging of dynamic processes using the FLASH technique". Magnetic Resonance in Medicine. 3 (2): 321-327. doi:10.1002/ ...
Time-varying spectral analysis in neurophysiological time series using Hilbert wavelet pairs. Signal Processing. 85 (11), pp. ... MICCAI 2005: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005. Palm Springs, CA, USA 26 - 29 Oct 2005 ... Special volume on Magnetic Resonance Imaging in R. Tabelow, K. and Whitcher, B. 2011. Special volume on Magnetic Resonance ... A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. Journal ...
Kinect does if they used a digital signal processor to interpret signals more effectively and further refined their frequency ... such as televisions and computers, on or off. Im not pretending that at this moment in time EPIC can do what Microsofts ... says that researchers are working to include this ability in computer interfaces for assisting the disabled; it would give ... processing techniques for analyzing the brains electromagnetic activity with the eventual aim of producing a brain-computer ...
Computational Intelligence Methods for Brain-Machine Interfacing or Brain-Computer Interfacing - A Special Issue published by ... Computational intelligence methods for BMI/BCI feature extraction, for example, time-domain, frequency domain, time-frequency ... Computational intelligence methods for BMI/BCI signal processing, for example, Independent Component Analysis (ICA), Common ... Different modalities of BCIs, for example, Electroencephalogram (EEG), Magnetoencephalography (MEG), Functional Magnetic ...
Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor. NMR in ... An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from ... Trittler, S and Hamprecht, F A (2009). Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency ... Digital Signal Processing. 19 628-639*DOI. *Google Scholar. *BibTeX. *RTF. *EndNote XML ...
Author in (G*) The stability of the DEAP-3600 dark matter detector and projected sensitivities for time-varying signals ... Author in (I) Tunneling processes through Yu-Shiba-Rusinov states of magnetic atoms on superconductors ... Author in Reaction-diffusion modeling of neurotransmitter processing at a high frequency synapse ... Author in An AI-assisted Chatbot for Education in Radiotherapy * Author in Evaluating Machine Learning Models in Predicting the ...
Radio frequency identification tags and magnetic sensors discreetly affixed to mugs, a tea jar, and a kettle, plus switches ... Lack of these signals at certain times, or decreased activity overall, would suggest something is wrong; the computer would ... Radio frequency identification tags and magnetic sensors discreetly affixed to mugs, a tea jar, and a kettle, plus switches ... High-tech systems to monitor and assist the elderly are now becoming practical, thanks to the falling prices of sensors and ...
Research Interests / Specializations: Biomedical Systems, Microsystems & DSP (Speech and audio signal processing with ... Research Interests / Specializations: Robotics/Mechatronics for Surgery and Therapy; Computer-Assisted Medical Interventions; ... Human-Computer Interaction; Machine Learning and Intelligent Systems; Robot Design and Control; Space Robotics, Real-Time ... high-frequency power converters, power converters for telecommunication and computer applications). ...
In addition, a treatment paradigm by adapting exposure time is proposed to compensate MB decay to retain the persistence of BBB ... The signals were converted to the frequency domain using MATLAB software (Mathworks, Natick, MA, USA) for assessment of SC and ... or the thresholding imaging processing algorithm built into the imaging system console may potentially contribute to signal- ... A 7-Tesla magnetic resonance scanner (ClinScan, Bruker, Germany) was used to acquire images to in-vivo monitor the FUS-induced ...
Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor. NMR in ... An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from ... Trittler, S and Hamprecht, F A (2009). Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency ... An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from ...
Signal Processing, Computer-Assisted / instrumentation; Tongue / physiology; Upper Extremity / physiopathology; User-Computer ... author keywords: Wireless communication; Animals; Radio frequency; Wireless sensor networks; RF signals; Graphical user ... author keywords: assistive technologies; computer access; environment control; information transfer rate; magnetic field ... time division multiplexing ... A Magneto-Inductive Sensor Based Wireless Tongue-Computer ...
A few years ago, however, a group of researchers turned signal processing upside down by showing that high-resolution imaging ... in recent times, because of their amazing applications in computer science, especially cryptography. ... In particular, adversarial communications can hop from frequency to frequency. When the frequency range is large, no analog-to- ... In magnetic resonance imaging, for example, one would like to infer a large number of pixels from just a small number of linear ...
Walker, W. F., & Insana M. F., Ed.).Medical Imaging 2003: Ultrasonic Imaging and Signal Processing. 5035, 174-182.*DOI ... 8th Annual Meeting of Computer Assisted Orthopedic Surgery International (CAOS). 81-83.*Google Scholar ... Rivaz, H., Foroughi P., Boctor E., Zellars R., Fichtinger G., & Hager G. D. (2007). Toward Real-Time 2d Ultrasound Elastography ... Boctor, E., Fichtinger G., Taylor R., & Choti M. (2003). Tracked 3D ultrasound in radio-frequency liver ablation. ( ...
Other image processing may include edge enhancement or multi-frequency processing to sharpen the image. ... Computer-assisted detection. Double reading of mammograms by two radiologists has been shown to increase cancer detection by ... It also means the womans breast is in compression for less time during this procedure. Similarly, time is saved during ... This results in a reduced range of signal and allows the image of all regions of the breast to be more easily displayed in one ...
IEEE Computer Society, p. 339-343 5 p. (IEEE Workshop on Statistical Signal Processing Proceedings; vol. 2023-July).. Research ... Soylu, U. & Oelze, M. L., May 1 2023, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 70, 5, p. ... A 20-μs Turn-On Time, 24-kHz Resolution, 1.5-100-MHz Digitally Programmable Temperature-Compensated Clock Generator. Li, Y., ... Pan, Z. & Başar, T., Oct 2023, In: International Journal of Adaptive Control and Signal Processing. 37, 10, p. 2577-2626 50 p. ...
The QTVR solution provides a means by which … Computer aided diagnosis systems (CAD) have been developed to assist radiologists ... Mammographic Image Analysis The ultrasound system processes these signals to produce an image that represents these reflections ... A Real - Time Telemedicine System Using a Medical Ultrasound Image Sequence on a Low Bit - Rate network Umeda Toshiyuki , ... look at my little peanut - ultrasound stock pictures, royalty-free … A linear array transducer with a frequency range of 3-12 ...
Subjects: Signal Processing (eess.SP); Networking and Internet Architecture (cs.NI) The frequency and phase fluctuations of ... Quantitative cardiac magnetic resonance T1 and T2 mapping enable myocardial tissue characterisation but the lengthy scan times ... Subjects: Signal Processing (eess.SP); Computer Science and Game Theory (cs.GT); Networking and Internet Architecture (cs.NI) ... Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to ...
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9 (6), 159-170 ... Chen, Y., Yu, W., Tang, J., Sun, Y. and Hu, H., (2023). A novel split-frequency feature fusion framework for processing the ... Asghari-Oskoei, M. and Hu, H., (2013). Using Myoelectric Signals to Manipulate Assisting Robots and Rehabilitation Devices. In ... The Visual Computer Chen, G., Peng, W., Wang, Z., Tu, J., Hu, H., Wang, D., Cheng, H. and Zhu, L., (2023). Modeling of swimming ...
This is the first time astronomers have been able to measure polarization, a signature of magnetic fields, this close to the ... scientists and researchers came together in 2021 to assist the Nation during a challenging and unprecedented time. The race to ... The zig-zag shapes in red show the participant signaling with their eyes their answer to the math problem "eight minus six.". 5 ... "We know that a great deal of cognitive processing takes place during sleep. This discovery points to an entirely new way to ...
Processes such as host-microbe crosstalk, immune activation and inflammation, microbe-microbe signalling, microbial metabolism ... In silico fragmentation for computer-assisted identification of metabolite MA MimoSA [226] A pipeline for joint metabolic model ... such as MA and nuclear magnetic resonance [218, 219]. Computationally speaking, data processing and analysis can be challenging ... Assembler developers are now looking for more time- and memory-efficient ways to handle massive data volumes (hundreds of Giga ...
The process of detecting a nucleus with spin is quite simple and involves placing the sample in a magnetic field. Then, the ... Time-shared NMR experiments are another exciting approach. They combine the sensitivity of high-resolution NMR with computer- ... The chemical shift is usually defined by the difference between the resonant frequency of the spinning protons and the signal ... thereby assisting in the creation of new drugs. Additionally, NMR techniques are being used extensively in the medical industry ...
Chart Completion Time of Attending Physicians While Using Medical Scribes. *Sarah Florig, Oregon Health & Science University, ... 2nd Place: Free-text Medical Document Retrieval Via Phrase-based Vector Space Model: W. Mao, MS, and W.W. Chu, PhD, Computer ... 2nd Place: Modeling Risk of Cardio-respiratory Instability as a Heterogeneous Process, L. Chen, A. Dubrawski, Carnegie Mellon ... 1st Place (Martin Epstein Award): Evaluating Effectiveness of Clinical Alerts: a Signal Detection Approach, M. Ong and E. ...
Software Industrial Computers and Embedded Systems Lab Equipment and Scientific Instruments Manufacturing and Process Equipment ... High frequency parallel plate probe for the measurement of the complex viscosity of liquids … gap width d is equal to (1) 50 lm ... Torque signal outputs include analog, digital and FM Data. They have mechanical overload protection to 200% of full scale and ... In addition, digital image magnification or zoom of up to 4 times is available. The borescope stores... (read more) Browse ...
Computers, volume 2005 of Conference Record - Asilomar Conference on Signals, Systems and Computers, pp 285-289, 2005. (DOI. ). ... Frequency-Selective Analysis of Multichannel Magnetic Resonance Spectroscopy Data. . Niclas Sandgren and Peter Stoica. In ... Peter Stoica, L. Xu, and Jian Li. In ICASSP 2005, the 30th International Conference on Acoustics, Speech and Signal Processing ... Computer assisted second language learning. . Katerina Kalimikeraki and Iordanis Kavathatzopoulos. In Open and Distance ...
Neural network processing in contrast-enhanced MRI mammography - unsupervised cluster analysis of signal dynamics time-series ... High-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis by a flexible ... Detecting low-frequency functional connectivity in resting state fMRI of the human brain using neural network clustering ... Analysis of breast lesions on contrast-enhanced magnetic resonance images using high dimensional texture features﻽. Mahesh B. ...
... time-series analysis and frequency response analysis. They shall also come to understand the meaning and significance of ... signal processing and forecasting, with applications beyond engineering into health and medicine, economics, etc. ... Computer equipment and internet access. To support your studies, you will also require access to a computer, along with ... The University provides limited financial support to assist students who do not have the required IT equipment or broadband ...
List of Research Topics and Ideas of Computer-Aided Design (CAD) for MS and Ph.D. Thesis. ... Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes. *Accurate Real-time CNC Curve ... Computer-aided automatic transfer learning based approach for analysing the effect of high-frequency EMF radiation on brain ... The Use of Computer Aided Three-Dimensional Prototyping to Surgically Assist in Tooth Autotransplantation ...
Enhanced psatial priors for segmentation of magnetic resonance imaging. Medical Image Computing and Computer-Assisted ... The time-frequency responses to tilt in normal subjects and age effect. Clin Auton Res 1996;6:300.Abstract ... PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [ ... Eye exam evaluating the level of retinopathy were processed (see Summary table). ...
TALK [MERL Seminar Series 2021] Use the [Magnetic] Force for Good: Sustainability Through Magnetic Levitation. Date & Time: ... Research Areas: Computational Sensing, Machine Learning, Signal Processing. Abstract *. Deep learning is emerging as powerful ... On the other hand, at higher power but lower frequency, the electromagnetic signal can interact strongly with the cell membrane ... Research Areas: Computer Vision, Machine Learning, Speech & Audio. Abstract *. While computer vision has made significant ...