Bilwaj Gaonkar

According to our database1, Bilwaj Gaonkar authored at least 30 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2023
Segmentation and identification of fatty infiltration of the erector spinae using deep learning.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
A deep network ensemble for segmentation of cervical spinal cord and neural foramina.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation.
Medical Image Anal., 2021

Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation.
CoRR, 2019

2018
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
CoRR, 2018

Orchestral fully convolutional networks for small lesion segmentation in brain MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Bayesian automated cortical segmentation for neonatal MRI.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Automatic segmentation of lumbar vertebrae in CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns.
IEEE Trans. Medical Imaging, 2016

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
NeuroImage, 2016

Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Interpreting support vector machine models for multivariate group wise analysis in neuroimaging.
Medical Image Anal., 2015

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Adaptive geodesic transform for segmentation of vertebrae on CT images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification.
NeuroImage, 2013

Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Classifying medical images using morphological appearance manifolds.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Feature ranking based nested support vector machine ensemble for medical image classification.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Pattern Based Morphometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automated segmentation of cortical necrosis using awavelet based abnormality detection system.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Automated segmentation of brain lesions by combining intensity and spatial information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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