Bilwaj Gaonkar

发表

A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease

Bilwaj Gaonkar, Roman Filipovych, Christos Davatzikos, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Multi-Parameter Ensemble Learning for Automated Vertebral Body Segmentation in Heterogeneously Acquired Clinical MR Images

Bilwaj Gaonkar, Luke Macyszyn, Yihao Xia, 2017, IEEE Journal of Translational Engineering in Health and Medicine.

Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation

Bilwaj Gaonkar, Luke Macyszyn, Neil Martin, 2016, SPIE Medical Imaging.

Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data

Bilwaj Gaonkar, Christos Davatzikos, Aristeidis Sotiras, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Classifying medical images using morphological appearance manifolds

Bilwaj Gaonkar, Christos Davatzikos, Erdem Varol, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automated segmentation of brain lesions by combining intensity and spatial information

Bilwaj Gaonkar, Christos Davatzikos, R. Nick Bryan, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated segmentation of cortical necrosis using awavelet based abnormality detection system

Bilwaj Gaonkar, Christos Davatzikos, Kilian M. Pohl, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks

Bilwaj Gaonkar, Luke Macyszyn, Steven Moran, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2015, Medical Image Anal..

Automated tumor volumetry using computer-aided image segmentation.

Bilwaj Gaonkar, Luke Macyszyn, Christos Davatzikos, 2015, Academic radiology.

Deep learning for medical image segmentation – using the IBM TrueNorth neurosynaptic system

Bilwaj Gaonkar, Luke Macyszyn, William Whitehead, 2018, Medical Imaging.

A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat

Bilwaj Gaonkar, Arman Sargolzaei, Saman Sargolzaei, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Control-Group Feature Normalization for Multivariate Pattern Analysis Using the Support Vector Machine

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2015 .

Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons

Bilwaj Gaonkar, Christos Davatzikos, 2012, MICCAI.

Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? pdf

Bilwaj Gaonkar, Luke Macyszyn, Matthew A. Brown, 2018, ArXiv.

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification

Bilwaj Gaonkar, Christos Davatzikos, C. Davatzikos, 2013, NeuroImage.

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016, IEEE Transactions on Medical Imaging.

Machine learning as a means toward precision diagnostics and prognostics

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016 .

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Bilwaj Gaonkar, Christos Davatzikos, Spyridon Bakas, 2015, Brainles@MICCAI.

Feature ranking based nested support vector machine ensemble for medical image classification

Bilwaj Gaonkar, Christos Davatzikos, Erdem Varol, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Adaptive geodesic transform for segmentation of vertebrae on CT images

Shu Liao, Bilwaj Gaonkar, Gerardo Hermosillo, 2014, Medical Imaging.

Bayesian automated cortical segmentation for neonatal MRI

Bilwaj Gaonkar, Luke Macyszyn, Yalin Wang, 2017, Symposium on Medical Information Processing and Analysis.

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2016, NeuroImage.

Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation

Bilwaj Gaonkar, Luke Macyszyn, Mark Attiah, 2020, Medical Image Anal..

EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation pdf

Bilwaj Gaonkar, Luke Macyszyn, Alex Bui, 2019, ArXiv.

Pattern Based Morphometry

Bilwaj Gaonkar, Christos Davatzikos, Kilian M. Pohl, 2011, MICCAI.

Multi-atlas skull-stripping.

Bilwaj Gaonkar, Christos Davatzikos, Jimit Doshi, 2013, Academic radiology.

Orchestral fully convolutional networks for small lesion segmentation in brain MRI

Bilwaj Gaonkar, Luke Macyszyn, Thomas D. Coates, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI

Bilwaj Gaonkar, Christos Davatzikos, Jia Wu, 2015, Medical Imaging.

Identifying Multivariate Imaging Patterns: Supervised, Semi-Supervised, and Unsupervised Learning Perspectives

Bilwaj Gaonkar, Roman Filipovych, Christos Davatzikos, 2014 .

Ethical Issues Arising Due to Bias in Training A.I. Algorithms in Healthcare and Data Sharing as a Potential Solution

Bilwaj Gaonkar, Luke Macyszyn, Kirstin Kim, 2020, AI Ethics Journal.

Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching

Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, 2017, Medical Imaging.

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches

Bilwaj Gaonkar, Luke Macyszyn, Steven Moran, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation

Bilwaj Gaonkar, Luke Macyszyn, Alex A. T. Bui, 2020, Medical Image Anal..

Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample

Bilwaj Gaonkar, Christos Davatzikos, Jimit Doshi, 2016, BJPsych Open.

Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response1

Bilwaj Gaonkar, Christos Davatzikos, Despina Kontos, 2015, Translational oncology.