Bilwaj Gaonkar
Bilwaj Gaonkar
Department of Neurosurgery, University of California Los Angeles
Verified email at mednet.ucla.edu - Homepage
TitleCited byYear
Multi-atlas skull-stripping
J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos
Academic radiology 20 (12), 1566-1576, 2013
1162013
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
882013
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, ...
BrainLes 2015, 144-155, 2015
372015
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
302012
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
282015
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
282015
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
272015
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
232015
Deriving statistical significance maps for SVM based image classification and group comparisons
Bilwaj Gaonkar and Christos Davatzikos
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 723-730, 2012
22*2012
Pattern based morphometry
B Gaonkar, K Pohl, C Davatzikos
International Conference on Medical Image Computing and Computer-Assisted …, 2011
212011
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
192015
Segmentation of gliomas in multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, 5-12, 2015
172015
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
142016
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
132017
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, 97852I, 2016
122016
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
112016
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
102016
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI
N Yu, J Wu, SP Weinstein, B Gaonkar, BM Keller, AB Ashraf, YQ Jiang, ...
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 94140O, 2015
102015
Multimodal brain tumor image segmentation using GLISTR
D Kwon, H Akbari, X Da, B Gaonkar, C Davatzikos
MICCAI Brain Tumor Segmentation (BraTS) Challenge Manuscripts, 18-19, 2014
102014
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), 115, 2017
92017
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Articles 1–20