Bilwaj Gaonkar

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Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIBestätigte E-Mail-Adresse bei pennmedicine.upenn.edu
Luke MacyszynAssitant Professor of Neurosurgery and OrthopedicsBestätigte E-Mail-Adresse bei mednet.ucla.edu
Jimit DoshiData Scientist, University of PennsylvaniaBestätigte E-Mail-Adresse bei uphs.upenn.edu
Isaac YangUCLABestätigte E-Mail-Adresse bei mednet.ucla.edu
Guray ErusSr. Research Investigator, Radiology Dept.,UPENNBestätigte E-Mail-Adresse bei uphs.upenn.edu
Lawrance K ChungUniversity of Southern CaliforniaBestätigte E-Mail-Adresse bei dhs.lacounty.gov
Russell ShinoharaProfessor at the University of PennsylvaniaBestätigte E-Mail-Adresse bei pennmedicine.upenn.edu
Hamed Akbari, MD, PhDSanta Clara UniversityBestätigte E-Mail-Adresse bei scu.edu
Xiao DaBrigham and Women's HospitalBestätigte E-Mail-Adresse bei bwh.harvard.edu
Aristeidis SotirasAssistant Professor, Washington UniversityBestätigte E-Mail-Adresse bei wustl.edu
Despina KontosProfessor of Radiology, Vice-Chair of AI and Data Science Research, Columbia RadiologyBestätigte E-Mail-Adresse bei cumc.columbia.edu
Steven MoranGraduate Student Researcher, Center for Heterogeneous Integration and Performance Scaling, UCLABestätigte E-Mail-Adresse bei g.ucla.edu
Yangming OuHarvard Medical SchoolBestätigte E-Mail-Adresse bei childrens.harvard.edu
Erdem VarolAssistant Professor, NYUBestätigte E-Mail-Adresse bei nyu.edu
Neil A. Martin, M.D.Chief Medical Officer, Clinical Institutes, Providence, Southern CaliforniaBestätigte E-Mail-Adresse bei providence.org
Ahmed AshrafAssistant Professor, Manitoba Learning and AI Research, Department of ECE, University of ManitobaBestätigte E-Mail-Adresse bei cmu.edu
Kristin LinnAssistant Professor of Biostatistics, University of PennsylvaniaBestätigte E-Mail-Adresse bei pennmedicine.upenn.edu
John Patrick Sheppard, MD MSCardiology Fellow, Cedars-Sinai Medical CenterBestätigte E-Mail-Adresse bei cshs.org
Robert SchultzChildren's Hospital of Philadelphia and the University of PennsylvaniaBestätigte E-Mail-Adresse bei chop.edu
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityBestätigte E-Mail-Adresse bei stanford.edu

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Bilwaj Gaonkar

Department of Neurosurgery, University of California Los Angeles

Bestätigte E-Mail-Adresse bei mednet.ucla.edu

Biomedical Image Analysis Machine learning AI in medical imaging


Titel Nach Zitationen sortieren Nach Jahr sortieren Nach Titel sortieren	Zitiert von Zitiert von	Jahr
Multi-atlas skull-stripping J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos Academic radiology 20 (12), 1566-1576, 2013	298	2013
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification B Gaonkar, C Davatzikos Neuroimage 78, 270-283, 2013	167	2013
GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016	117	2016
CHIMERA: clustering of heterogeneous disease effects via distribution matching of imaging patterns A Dong, N Honnorat, B Gaonkar, C Davatzikos IEEE transactions on medical imaging 35 (2), 612-621, 2015	87	2015
Interpreting support vector machine models for multivariate group wise analysis in neuroimaging B Gaonkar, RT Shinohara, C Davatzikos, ... Medical image analysis 24 (1), 190-204, 2015	77	2015
Breast DCE-MRI kinetic heterogeneity tumor markers: preliminary associations with neoadjuvant chemotherapy response A Ashraf, B Gaonkar, C Mies, A DeMichele, M Rosen, C Davatzikos, ... Translational oncology 8 (3), 154-162, 2015	68	2015
Multivariate neural connectivity patterns in early infancy predict later autism symptoms A Dickinson, M Daniel, A Marin, B Gaonkar, M Dapretto, NM McDonald, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6 (1), 59-69, 2021	63	2021
Feature ranking based nested support vector machine ensemble for medical image classification E Varol, B Gaonkar, G Erus, R Schultz, C Davatzikos 2012 9Th IEEE international symposium on biomedical imaging (ISBI), 146-149, 2012	55	2012
Automated tumor volumetry using computer-aided image segmentation B Gaonkar, L Macyszyn, M Bilello, MS Sadaghiani, H Akbari, MA Attiah, ... Academic radiology 22 (5), 653-661, 2015	51	2015
Exploring intentions of physician-scientist trainees: factors influencing MD and MD/PhD interest in research careers JM Kwan, D Daye, ML Schmidt, CM Conlon, H Kim, B Gaonkar, AS Payne, ... BMC medical education 17, 1-16, 2017	50	2017
Addressing confounding in predictive models with an application to neuroimaging KA Linn, B Gaonkar, J Doshi, C Davatzikos, RT Shinohara The international journal of biostatistics 12 (1), 31-44, 2016	47	2016
Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation B Gaonkar, D Hovda, N Martin, L Macyszyn Medical Imaging 2016: Computer-Aided Diagnosis 9785, 646-653, 2016	44	2016
Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy Y Ou, SP Weinstein, EF Conant, S Englander, X Da, B Gaonkar, MK Hsieh, ... Magnetic resonance in medicine 73 (6), 2343-2356, 2015	44	2015
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine KA Linn, B Gaonkar, TD Satterthwaite, J Doshi, C Davatzikos, ... NeuroImage 132, 157-166, 2016	42	2016
Multi-parameter ensemble learning for automated vertebral body segmentation in heterogeneously acquired clinical MR images B Gaonkar, Y Xia, D Villaroman, A Ko, M Attiah, J Beckett, L Macyszyn IEEE Journal of Translational Engineering in Health and Medicine, 2017	35	2017
A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks W Whitehead, S Moran, B Gaonkar, L Macyszyn, S Iyer 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018	32	2018
Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample A Sankar, T Zhang, B Gaonkar, J Doshi, G Erus, SG Costafreda, ... BJPsych open 2 (4), 247-254, 2016	32	2016
Pattern based morphometry B Gaonkar, K Pohl, C Davatzikos Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011	31	2011
Natural history of the aging spine: a cross-sectional analysis of spinopelvic parameters in the asymptomatic population M Attiah, B Gaonkar, Y Alkhalid, D Villaroman, R Medina, C Ahn, T Niu, ... Journal of Neurosurgery: Spine 32 (1), 63-68, 2019	30	2019
Quantitative analysis of spinal canal areas in the lumbar spine: an imaging informatics and machine learning study B Gaonkar, D Villaroman, J Beckett, C Ahn, M Attiah, D Babayan, ... American Journal of Neuroradiology 40 (9), 1586-1591, 2019	30	2019

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