Toward content-based image retrieval with deep convolutional neural networks. - Judah E. S. Sklan; Andrew J. Plassard; Daniel Fabbri; Bennett A. Landman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults. - Robert L. Harrigan; Andrew J. Plassard; Louise A. Mawn; Robert L. Galloway; Seth A. Smith; Bennett A. Landman (Image Processing, 2015)

Bootstrapping white matter segmentation, Eve++. - Andrew J. Plassard; Kendra E. Hinton; Vijay K. Venkatraman; Christopher E. Gonzalez; Susan M. Resnick; Bennett A. Landman (Image Processing, 2015)

Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation. - Andrew J. Plassard; Patrick D. Kelly; Andrew J. Asman; Hakmook Kang; Mayur B. Patel; Bennett A. Landman (Image Processing, 2015)

Multi-atlas learner fusion: An efficient segmentation approach for large-scale data. - Andrew J. Asman; Yuankai Huo; Andrew J. Plassard; Bennett A. Landman (Medical Image Anal., 2015)

A Bayesian framework for early risk prediction in traumatic brain injury. - Shikha Chaganti; Andrew J. Plassard; Laura Wilson; Miya A. Smith; Mayur B. Patel; Bennett A. Landman (Image Processing, 2016)

On the fallacy of quantitative segmentation for T1-weighted MRI. - Andrew J. Plassard; Robert L. Harrigan; Allen T. Newton; Swati D. Rane; Srivatsan Pallavaram; Pierre-François D'Haese; Benoit M. Dawant; Daniel O. Claassen; Bennett A. Landman (Image Processing, 2016)

Improving cerebellar segmentation with statistical fusion. - Andrew J. Plassard; Zhen Yang 002; Jerry L. Prince; Daniel O. Claassen; Bennett A. Landman (Image Processing, 2016)

Consistent cortical reconstruction and multi-atlas brain segmentation. - Yuankai Huo; Andrew J. Plassard; Aaron Carass; Susan M. Resnick; Dzung L. Pham; Jerry L. Prince; Bennett A. Landman (NeuroImage, 2016)

Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. - Shunxing Bao; Andrew J. Plassard; Bennett A. Landman; Aniruddha S. Gokhale (IC2E, 2017)

Deep learning for brain tumor classification. - Justin S. Paul; Andrew J. Plassard; Bennett A. Landman; Daniel Fabbri (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Multi-modal and targeted imaging improves automated mid-brain segmentation. - Andrew J. Plassard; Pierre-François D'Haese; Srivatsan Pallavaram; Allen T. Newton; Daniel O. Claassen; Benoit M. Dawant; Bennett A. Landman (Image Processing, 2017)

Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy. - Andrew J. Plassard; Maureen McHugo; Stephan Heckers; Bennett A. Landman (Image Processing, 2017)

Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments. - Xiuya Yao; Shikha Chaganti; Kunal P. Nabar; Katrina Nelson; Andrew J. Plassard; Robert L. Harrigan; Louise A. Mawn; Bennett A. Landman (Image Processing, 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)

Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinson's Disease. - Andrew J. Plassard (2017)

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. - Shunxing Bao; Prasanna Parvathaneni; Yuankai Huo; Yogesh D. Barve; Andrew J. Plassard; Yuang Yao; Hongyang Sun 001; Ilwoo Lyu; David H. Zald; Bennett A. Landman; Aniruddha S. Gokhale (IEEE BigData, 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)

Fully convolutional neural networks improve abdominal organ segmentation. - Meg F. Bobo; Shunxing Bao; Yuankai Huo; Yuang Yao; Jack Virostko; Andrew J. Plassard; Ilwoo Lyu; Albert Assad; Richard G. Abramson; Melissa A. Hilmes; 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)

Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. - Yurui Gao; Kurt G. Schilling; Iwona Stepniewska; Andrew J. Plassard; Ann S. Choe; Xia Li; Bennett A. Landman; Adam W. Anderson (NeuroImage, 2018)

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)