Bilwaj Gaonkar

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 20

Top Topics

Medical Image Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Publications

Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett
Segmentation and identification of fatty infiltration of the erector spinae using deep learning. Medical Imaging: Image Processing (2023)
Anshul Ratnaparkhi, Bilwaj Gaonkar, David Zarrin, Ien Li, Kirstin Cook, Azim Laiwalla, Bayard Wilson, Mark Attiah, Christine S. Ahn, Diane Villaroman, Bryan Yoo, Banafsheh Salehi, Joel Beckett, Luke Macyszyn
Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets. Medical Imaging: Computer-Aided Diagnosis (2022)
David Zarrin, Anshul Ratnaparkhi, Bayard Wilson, Kirstin Cook, Ien Li, Azim Laiwalla, Mark Attiah, Joel Beckett, Bilwaj Gaonkar, Luke Macyszyn
A deep network ensemble for segmentation of cervical spinal cord and neural foramina. Medical Imaging: Computer-Aided Diagnosis (2022)
Ien Li, Kirstin Cook, Michael Le, Bilwaj Gaonkar, Luke Macyszyn
Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer. Medical Imaging: Computer-Aided Diagnosis (2021)
Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine S. Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex A. T. Bui, Luke Macyszyn
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation. Medical Image Anal. 67 (2021)
Bilwaj Gaonkar, Alex A. T. Bui, Luke Macyszyn
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation. CoRR (2019)
Bau Pham, Bilwaj Gaonkar, William Whitehead, Steven Moran, Qing Dai, Luke Macyszyn, V. Reggie Edgerton
Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches. EMBC (2018)
William Whitehead, Steven Moran, Bilwaj Gaonkar, Luke Macyszyn, Subramanian Iyer
A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks. ISBI (2018)
Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? CoRR (2018)
Botian Xu, Yaqiong Chai, Cristina M. Galarza, Chau Q. Vu, Benita Tamrazi, Bilwaj Gaonkar, Luke Macyszyn, Thomas D. Coates Jr., Natasha Leporé, John C. Wood
Orchestral fully convolutional networks for small lesion segmentation in brain MRI. ISBI (2018)
Saman Sargolzaei, Yan Cai, Stephanie M. Wolahan, Bilwaj Gaonkar, Arman Sargolzaei, Christopher C. Giza, Neil G. Harris
A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat. EMBC (2018)
Amruta Kulkarni, Akshita Raina, Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra
Automatic segmentation of lumbar vertebrae in CT images. Medical Imaging: Computer-Aided Diagnosis (2017)
Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé
Bayesian automated cortical segmentation for neonatal MRI. SIPAIM (2017)
Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra
Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching. Medical Imaging: Computer-Aided Diagnosis (2017)
Bilwaj Gaonkar, David Hovda, Neil Martin, Luke Macyszyn
Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation. Medical Imaging: Computer-Aided Diagnosis (2016)
Kristin A. Linn, Bilwaj Gaonkar, Theodore D. Satterthwaite, Jimit Doshi, Christos Davatzikos, Russell T. Shinohara
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine. NeuroImage 132 (2016)
Aoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, Christos Davatzikos
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns. IEEE Trans. Medical Imaging 35 (2) (2016)
Ning Yu, Jia Wu, Susan P. Weinstein, Bilwaj Gaonkar, Brad M. Keller, Ahmed Bilal Ashraf, YunQing Jiang, Christos Davatzikos, Emily F. Conant, Despina Kontos
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2015)
Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI (2015)
Bilwaj Gaonkar, Russell T. Shinohara, Christos Davatzikos
Interpreting support vector machine models for multivariate group wise analysis in neuroimaging. Medical Image Anal. 24 (1) (2015)
Bilwaj Gaonkar, Shu Liao, Gerardo Hermosillo, Yiqiang Zhan
Adaptive geodesic transform for segmentation of vertebrae on CT images. Medical Imaging: Computer-Aided Diagnosis (2014)
Bilwaj Gaonkar, Christos Davatzikos
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification. NeuroImage 78 (2013)
Bilwaj Gaonkar, Aristeidis Sotiras, Christos Davatzikos
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data. PRNI (2013)
Erdem Varol, Bilwaj Gaonkar, Christos Davatzikos
Classifying medical images using morphological appearance manifolds. ISBI (2013)
Roman Filipovych, Bilwaj Gaonkar, Christos Davatzikos
A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease. PRNI (2012)
Erdem Varol, Bilwaj Gaonkar, Güray Erus, Robert Schultz, Christos Davatzikos
Feature ranking based nested support vector machine ensemble for medical image classification. ISBI (2012)
Bilwaj Gaonkar, Christos Davatzikos
Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons. MICCAI (1) (2012)
Bilwaj Gaonkar, Güray Erus, Kilian M. Pohl, Manoj Tanwar, Stefan Margiewicz, R. Nick Bryan, Christos Davatzikos
Automated segmentation of cortical necrosis using awavelet based abnormality detection system. ISBI (2011)
Bilwaj Gaonkar, Kilian M. Pohl, Christos Davatzikos
Pattern Based Morphometry. MICCAI (2) (2011)
Bilwaj Gaonkar, Güray Erus, R. Nick Bryan, Christos Davatzikos
Automated segmentation of brain lesions by combining intensity and spatial information. ISBI (2010)