| Multi-atlas skull-stripping J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos Academic radiology 20 (12), 1566-1576, 2013 | 290 | 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 | 162 | 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 | 115 | 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 | 85 | 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 | 76 | 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 | 62 | 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 | 54 | 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 | 46 | 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 | 45 | 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 | 43 | 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 | 43 | 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 | 41 | 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 | 34 | 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 |
| United States Medical Licensing Examination Step 1 scores directly correlate with American Board of Neurological Surgery scores: a single-institution experience DT Nagasawa, JS Beckett, C Lagman, LK Chung, B Schmidt, M Safaee, ... World Neurosurgery 98, 427-431, 2017 | 30 | 2017 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEI確認したメール アドレス: pennmedicine.upenn.edu
