Saurabh Vyas
Title
Cited by
Cited by
Year
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ...
Computational intelligence and neuroscience 2015, 2015
1432015
Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor component analysis
AH Williams, TH Kim, F Wang, S Vyas, SI Ryu, KV Shenoy, M Schnitzer, ...
Neuron 98 (6), 1099-1115. e8, 2018
572018
Neural population dynamics underlying motor learning transfer
S Vyas, N Even-Chen, SD Stavisky, SI Ryu, P Nuyujukian, KV Shenoy
Neuron 97 (5), 1177-1186. e3, 2018
492018
Accurate estimation of neural population dynamics without spike sorting
EM Trautmann, SD Stavisky, S Lahiri, KC Ames, MT Kaufman, DJ O’Shea, ...
Neuron 103 (2), 292-308. e4, 2019
392019
In vivo interrogation of spinal mechanosensory circuits
AJ Christensen, SM Iyer, A François, S Vyas, C Ramakrishnan, S Vesuna, ...
Cell reports 17 (6), 1699-1710, 2016
372016
Estimating physiological skin parameters from hyperspectral signatures
S Vyas, A Banerjee, P Burlina
Journal of biomedical optics 18 (5), 057008, 2013
232013
Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography
S Vyas, J Meyerle, P Burlina
Computers in biology and medicine 57, 173-181, 2015
182015
Computational modeling of skin reflectance spectra for biological parameter estimation through machine learning
S Vyas, H Van Nguyen, P Burlina, A Banerjee, L Garza, R Chellappa
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012
102012
Machine learning methods for in vivo skin parameter estimation
S Vyas, A Banerjee, P Burlina
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
82013
Hyperspectral signature analysis of skin parameters
S Vyas, A Banerjee, L Garza, S Kang, P Burlina
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 867002, 2013
72013
Intraoperative ultrasound to stereocamera registration using interventional photoacoustic imaging
S Vyas, S Su, R Kim, N Kuo, RH Taylor, JU Kang, EM Boctor
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and …, 2012
72012
Neuronal complexity in subthalamic nucleus is reduced in Parkinson’s disease
S Vyas, H Huang, JT Gale, SV Sarma, EB Montgomery
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1), 36-45, 2015
62015
Causal role of motor preparation during error-driven learning
S Vyas, DJ O’Shea, SI Ryu, KV Shenoy
Neuron, 2020
42020
Structure and variability of delay activity in premotor cortex
N Even-Chen, B Sheffer, S Vyas, SI Ryu, KV Shenoy
PLoS computational biology 15 (2), e1006808, 2019
42019
Endocardium segmentation in 3d transesophageal echocardiography
S Vyas, R Mukherjee, F Sosa, P Burlina
2013 IEEE 10th International Symposium on Biomedical Imaging, 57-60, 2013
32013
Computation Through Neural Population Dynamics
S Vyas, MD Golub, D Sussillo, K Shenoy
Annu. Rev. Neurosci 43, 249-75, 2020
22020
Hyperspectral imaging for detection of skin related conditions
PM Burlina, A Banerjee, S Vyas, L Garza
US Patent 8,761,476, 2014
22014
Computing cardiac strain from variational optical flow in four-dimensional echocardiography
S Vyas, JS Gammie, P Burlina
2014 IEEE 27th International Symposium on Computer-Based Medical Systems …, 2014
22014
Endocardial surface delineation in 3-d transesophageal echocardiography
R Mukherjee, S Vyas, R Juang, C Sprouse, P Burlina
Ultrasound in medicine & biology 39 (12), 2447-2462, 2013
22013
High-fidelity musculoskeletal modeling reveals a motor planning contribution to the speed-accuracy tradeoff
M Al Borno, S Vyas, KV Shenoy, S Delp
bioRxiv, 804088, 2019
12019
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Articles 1–20