Suyash P. Awate

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Ross WhitakerProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
James GeeUniversity of Pennsylvania, University of WashingtonVerified email at mail.med.upenn.edu
Tolga TasdizenUniversity of UtahVerified email at sci.utah.edu
Viswanath P SudarshanScientist, TCS ResearchVerified email at tcs.com
Paul YushkevichAssociate Professor of Radiology, University of PennsylvaniaVerified email at mail.med.upenn.edu
Gary ZhangProfessor of Computational Imaging, Department of Computer Science, University College LondonVerified email at ucl.ac.uk
Daniel LichtProfessor of Neurology, University of PennsylvaniaVerified email at email.chop.edu
Zhaolin Chen, PhDMonash UniversityVerified email at monash.edu
Edward DiBellaProfessor of Radiology and Imaging Sciences, University of UtahVerified email at hsc.utah.edu
Gary EganMonash Biomedical Imaging, Monash UniversityVerified email at monash.edu
Nick TustisonDepartment of Radiology and Medical Imaging, University of VirginiaVerified email at virginia.edu
Zhuang SongPersonalized Healthcare, GenentechVerified email at gene.com
Tom FletcherUniversity of VirginiaVerified email at virginia.edu
Meet ShahWaymoVerified email at waymo.com
Uddeshya UpadhyayPh.D. Candidate, International Max Planck Research School for Intelligent Systems, TübingenVerified email at uni-tuebingen.de
Alankar KotwalCarnegie Mellon UniversityVerified email at cmu.edu
Wei LiuExxonMobilVerified email at sci.utah.edu
Tessa S. CookAssistant Professor of Radiology, Perelman School of Medicine at the University of PennsylvaniaVerified email at alumni.upenn.edu
Gang SongUniversity of PennsylvaniaVerified email at seas.upenn.edu
Marcel PrastawaIcahn School of Medicine at Mount SinaiVerified email at mssm.edu

Suyash P. Awate

Professor of Computer Science and Engineering, Indian Institute of Technology (IIT) Bombay

Verified email at cse.iitb.ac.in - Homepage

Image Analysis Medical Image Computing Machine Learning Computer Vision


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Unsupervised, information-theoretic, adaptive image filtering for image restoration SP Awate, RT Whitaker IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 28 (3 …, 2006	326	2006
Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering SP Awate, RT Whitaker IEEE Computer Vision and Pattern Recognition (CVPR), (2):44-51, 2005	144	2005
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification SP Awate, T Tasdizen, N Foster, RT Whitaker Medical Image Analysis (MedIA) 10 (5), 726-739, 2006	136	2006
Temporally constrained reconstruction of dynamic cardiac perfusion MRI G Adluru, SP Awate, T Tasdizen, RT Whitaker, EVR DiBella Magnetic Resonance in Medicine (MRM) 57 (6), 1027-1036, 2007	127	2007
Feature-preserving MRI denoising: A nonparametric empirical-Bayes approach SP Awate, RT Whitaker IEEE Transactions on Medical Imaging (TMI) 26 (9), 1242-1255, 2007	125	2007
Unsupervised texture segmentation with nonparametric neighborhood statistics SP Awate, T Tasdizen, RT Whitaker European Conference on Computer Vision (ECCV), 494-507, 2006	89	2006
A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: With applications to DTI-tract extraction SP Awate, H Zhang, JC Gee IEEE Transactions on Medical Imaging (TMI) 26 (11), 1525-1536, 2007	83	2007
Clinical neonatal brain MRI segmentation using adaptive nonparametric data models and intensity-based Markov priors Z Song, SP Awate, DJ Licht, JC Gee Medical Image Computing and Computer-Assisted Intervention (MICCAI), 883-890, 2007	68	2007
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features H Zhang, SP Awate, SR Das, JH Woo, ER Melhem, JC Gee, ... Medical Image Analysis (MedIA) 14 (5), 666-673, 2010	60	2010
Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development SP Awate, PA Yushkevich, Z Song, DJ Licht, JC Gee Neuroimage 53 (2), 450-459, 2010	58	2010
Appearance and incomplete label matching for diffeomorphic template based hippocampus segmentation J Pluta, BB Avants, S Glynn, SP Awate, JC Gee, JA Detre Hippocampus 19 (6), 565-571, 2009	52	2009
Nonparametric neighborhood statistics for MRI denoising SP Awate, RT Whitaker Information Processing in Medical Imaging (IPMI), 677-688, 2005	48	2005
MS-Net: mixed-supervision fully-convolutional networks for full-resolution segmentation MP Shah, SN Merchant, SP Awate International Conference on Medical Image Computing and Computer-Assisted …, 2018	43	2018
Automatic correction of intensity nonuniformity from sparseness of gradient distribution in medical images Y Zheng, M Grossman, SP Awate, JC Gee Medical Image Computing and Computer-Assisted Intervention (MICCAI), 852-859, 2009	43	2009
Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity SP Awate, EVR DiBella IEEE International Symposium on Biomedical Imaging (ISBI), 318-321, 2012	42	2012
3D cerebral cortical morphometry in autism: Increased folding in children and adolescents in frontal, parietal, and temporal lobes SP Awate, L Win, P Yushkevich, R Schultz, JC Gee Medical Image Computing and Computer-Assisted Intervention (MICCAI), 559-567, 2008	36	2008
A fuzzy, nonparametric segmentation framework for DTI and MRI analysis SP Awate, JC Gee Information Processing in Medical Imaging (IPMI), 296-307, 2007	36	2007
Point set registration using Havrda–Charvat–Tsallis entropy measures NJ Tustison, SP Awate, G Song, TS Cook, JC Gee IEEE Transactions on Medical Imaging (TMI) 30 (2), 451-460, 2011	35	2011
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference A Baid, A Kotwal, R Bhalodia, SN Merchant, SP Awate 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017	28	2017
Joint desmoking and denoising of laparoscopy images A Kotwal, R Bhalodia, SP Awate IEEE International Symposium on Biomedical Imaging (ISBI), 1050-1054, 2016	28	2016

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