Heterogeneity of MR Signal Intensity Mapped onto Brain Surface Models. - Andrea J. Rebmann; John A. Butman (AIPR, 2003)

Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones. - Jianhua Yao 001; Michael Collins; John A. Butman; Janice Lee (ISBI, 2004)

Data Driven Brain Tumor Segmentation in MRI Using Probabilistic Reasoning over Space and Time. - Jeffrey M. Solomon; John A. Butman; Arun Sood (MICCAI (1), 2004)

Segmentation of objects in temporal images using the hidden Markov model. - Jeffrey M. Solomon; John A. Butman; Arun Sood (ICIP (1), 2005)

Segmentation of brain tumors in 4D MR images using the hidden Markov model. - Jeffrey M. Solomon; John A. Butman; Arun Sood (Comput. Methods Programs Biomed., 2006)

User-friendly software for the analysis of brain lesions (ABLe). - Jeffrey M. Solomon; Vanessa Raymont; Allen R. Braun; John A. Butman; Jordan Henry Grafman (Comput. Methods Programs Biomed., 2007)

Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus. - John A. Butman; Marius George Linguraru (ISBI, 2008)

Segmentation propagation for the automated quantification of ventricle volume from serial MRI. - Marius George Linguraru; John A. Butman (Computer-Aided Diagnosis, 2009)

Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields. - Marcelo Adrián Castro; Jianhua Yao 001; Yuxi Pang; Eva Baker; John A. Butman; David Thomasson (ISBI, 2010)

Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients. - Whitney Anne Postman-Caucheteux; Rasmus M. Birn; Randall H. Pursley; John A. Butman; Jeffrey M. Solomon; Dante Picchioni; Joe McArdle; Allen R. Braun (J. Cogn. Neurosci., 2010)

Template-Based B 1 Inhomogeneity Correction in 3T MRI Brain Studies. - Marcelo Adrián Castro; Jianhua Yao 001; Yuxi Pang; Christabel Lee; Eva Baker; John A. Butman; Iordanis E. Evangelou; David Thomasson (IEEE Trans. Medical Imaging, 2010)

Cerebral microbleed segmentation from susceptibility weighted images. - Snehashis Roy; Amod Jog; Elizabeth M. Sweeney; John A. Butman; Dzung L. Pham (Image Processing, 2015)

Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury. - Snehashis Roy; Sean Wilkes; Ramon Diaz-Arrastia; John A. Butman; Dzung L. Pham (Image Processing, 2015)

Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging. - Marcelo Adrián Castro; Joshua P. Williford; Martin R. Cota; Judy M. MacLaren; Bernard J. Dardzinski; Lawrence L. Latour; Dzung L. Pham; John A. Butman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. - Snehashis Roy; Yi-Yu Chou; Amod Jog; John A. Butman; Dzung L. Pham (SASHIMI@MICCAI, 2016)

Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images. - Jeffrey Glaister; Aaron Carass; Dzung L. Pham; John A. Butman; Jerry L. Prince (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. - Jeffrey Glaister; Aaron Carass; Dzung L. Pham; John A. Butman; Jerry L. Prince (MICCAI (1), 2017)

Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. - Snehashis Roy; John A. Butman; Dzung L. Pham (SASHIMI@MICCAI, 2017)

Robust skull stripping using multiple MR image contrasts insensitive to pathology. - Snehashis Roy; John A. Butman; Dzung L. Pham (NeuroImage, 2017)

Deep learning of resting state networks from independent component analysis. - Yi-Yu Chou; Snehashis Roy; Catie Chang; John A. Butman; Dzung L. Pham (ISBI, 2018)

TBI contusion segmentation from MRI using convolutional neural networks. - Snehashis Roy; John A. Butman; Leighton Chan; Dzung L. Pham (ISBI, 2018)

A deep learning framework for brain extraction in humans and animals with traumatic brain injury. - Snehashis Roy; Andrew K. Knutsen; Alexandru Korotcov; Asamoah Bosomtwi; Bernard Dardzinski; John A. Butman; Dzung L. Pham (ISBI, 2018)

Classifying magnetic resonance image modalities with convolutional neural networks. - Samuel Remedios; Dzung L. Pham; John A. Butman; Snehashis Roy (Computer-Aided Diagnosis, 2018)

Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. - Snehashis Roy; John A. Butman; Daniel S. Reich; Peter A. Calabresi; Dzung L. Pham (CoRR, 2018)

Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. - Syed M. S. Reza; Snehashis Roy; Deric M. Park; Dzung L. Pham; John A. Butman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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)

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. - Dzung L. Pham; Yi-Yu Chou; Blake E. Dewey; Daniel S. Reich; John A. Butman; Snehashis Roy (SASHIMI@MICCAI, 2020)

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. - Samuel W. Remedios; John A. Butman; Bennett A. Landman; Dzung L. Pham (DART/DCL@MICCAI, 2020)

AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. - Syed M. S. Reza; John A. Butman; Deric M. Park; Dzung L. Pham; Snehashis Roy (MLMI@MICCAI, 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)

Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. - Yi-Yu Chou; Samuel W. Remedios; John A. Butman; Dzung L. Pham (Image Processing, 2022)