EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. - Shikha Chaganti; Jamie R. Robinson; Camilo Bermudez; Thomas A. Lasko; Louise A. Mawn; Bennett A. Landman (DLMIA/ML-CDS@MICCAI, 2017)

A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. - Shunxing Bao; Yuankai Huo; Prasanna Parvathaneni; Andrew J. Plassard; Camilo Bermudez; Yuang Yao; Ilwoo Lyu; Aniruddha S. Gokhale; Bennett A. Landman (CoRR, 2017)

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Yuankai Huo; Zhoubing Xu; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (MICCAI (3), 2018)

Learning implicit brain MRI manifolds with deep learning. - Camilo Bermudez; Andrew J. Plassard; Larry T. Davis; Allen T. Newton; Susan M. Resnick; Bennett A. Landman (Image Processing, 2018)

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. - Yuankai Huo; Zhoubing Xu; Shunxing Bao; Camilo Bermudez; Andrew J. Plassard; Jiaqi Liu; Yuang Yao; Albert Assad; Richard G. Abramson; Bennett A. Landman (Image Processing, 2018)

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. - Vishwesh Nath; Prasanna Parvathaneni; Colin B. Hansen; Allison E. Hainline; Camilo Bermudez; Samuel Remedios; Justin A. Blaber; Kurt G. Schilling; Ilwoo Lyu; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; et al. (CoRR, 2018)

Towards Portable Large-Scale Image Processing with High-Performance Computing. - Yuankai Huo; Justin A. Blaber; Stephen M. Damon; Brian D. Boyd; Shunxing Bao; Prasanna Parvathaneni; Camilo Bermudez; Shikha Chaganti; Vishwesh Nath; Jasmine M. Greer; Ilwoo Lyu; William R. French; et al. (J. Digit. Imaging, 2018)

Contextual Deep Regression Network for Volume Estimation in Orbital CT. - Shikha Chaganti; Camilo Bermudez; Louise A. Mawn; Thomas A. Lasko; Bennett A. Landman (MICCAI (6), 2019)

Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. - Camilo Bermudez; William Rodriguez; Yuankai Huo; Allison E. Hainline; Rui Li 012; Robert Shults; Pierre D. D'Haese; Peter E. Konrad; Benoit M. Dawant; Bennett A. Landman (Image Processing, 2019)

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. - Yuankai Huo; James G. Terry; Jiachen Wang; Vishwesh Nath; Camilo Bermudez; Shunxing Bao; Prasanna Parvathaneni; John Jeffrey Carr; Bennett A. Landman (Image Processing, 2019)

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. - Vishwesh Nath; Samuel Remedios; Prasanna Parvathaneni; Colin B. Hansen; Roza G. Bayrak; Camilo Bermudez; Justin A. Blaber; Kurt G. Schilling; Vaibhav A. Janve; Yurui Gao; Yuankai Huo; Ilwoo Lyu; et al. (Image Processing, 2019)

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. - Samuel Remedios; Snehashis Roy; Justin A. Blaber; Camilo Bermudez; Vishwesh Nath; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 2019)

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. - Vishwesh Nath; Kurt G. Schilling; Colin B. Hansen; Prasanna Parvathaneni; Allison E. Hainline; Camilo Bermudez; Andrew J. Plassard; Vaibhav A. Janve; Yurui Gao; Justin A. Blaber; Iwona Stepniewska; Adam W. Anderson; et al. (CoRR, 2019)

3D whole brain segmentation using spatially localized atlas network tiles. - Yuankai Huo; Zhoubing Xu; Yunxi Xiong; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (NeuroImage, 2019)

Estimation of Biological Parameters of Cutaneous Ulcers Caused by Leishmaniasis in an Animal Model Using Diffuse Reflectance Spectroscopy. - Deivid Botina; Ricardo Franco-Ceballos; Javier Murillo; July Galeano 001; Artur Zarzycki; Maria C. Torres-Madronero; Camilo Bermudez; Jaime Montaño; Johnson Garzón; Franck Marzani; Sara M. Robledo (Sensors, 2019)

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. - Yuankai Huo; Zhoubing Xu; Shunxing Bao; Camilo Bermudez; Hyeonsoo Moon; Prasanna Parvathaneni; Tamara K. Moyo; Michael R. Savona; Albert Assad; Richard G. Abramson; Bennett A. Landman (IEEE Trans. Medical Imaging, 2019)

Semi-supervised Machine Learning with MixMatch and Equivalence Classes. - Colin B. Hansen; Vishwesh Nath; Riqiang Gao; Camilo Bermudez; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Jeffrey D. Blume; Thomas A. Lasko; Bennett A. Landman (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. - Camilo Bermudez; Justin A. Blaber; Samuel W. Remedios; Jess E. Reynolds; Catherine Lebel; Maureen McHugo; Stephan Heckers; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. - Samuel Remedios; Zihao Wu 003; Camilo Bermudez; Cailey I. Kerley; Snehashis Roy; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 2020)

Contrast phase classification with a generative adversarial network. - Yucheng Tang; Ho Hin Lee; Yuchen Xu 001; Olivia Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Yuankai Huo; et al. (Image Processing, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

Anatomical context protects deep learning from adversarial perturbations in medical imaging. - Yi Li; Huahong Zhang; Camilo Bermudez; Yifan Chen; Bennett A. Landman; Yevgeniy Vorobeychik (Neurocomputing, 2020)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

Body Part Regression With Self-Supervision. - Yucheng Tang; Riqiang Gao; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Shunxing Bao; Ilwoo Lyu; Yuankai Huo; Bennett A. Landman (IEEE Trans. Medical Imaging, 2021)

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. - Cailey I. Kerley; Shikha Chaganti; Tin Q. Nguyen; Camilo Bermudez; Laurie E. Cutting; Lori L. Beason-Held; Thomas A. Lasko; Bennett A. Landman (Neuroinformatics, 2022)