John A. Butman

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 24

Top Topics

Convolutional Neural Networks

Tumor Segmentation

Traumatic Brain Injury

Top Venues

Medical Imaging: Image Processing

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

Yi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham
Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. Medical Imaging: Image Processing (2022)
Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. CoRR (2021)
Syed M. S. Reza, John A. Butman, Deric M. Park, Dzung L. Pham, Snehashis Roy
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. MLMI@MICCAI (2020)
Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Medical Imaging: Image Processing (2020)
Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI (2020)
Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. SASHIMI@MICCAI (2020)
Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Medical Imaging: Image Processing (2019)
Syed M. S. Reza, Snehashis Roy, Deric M. Park, Dzung L. Pham, John A. Butman
Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. CoRR (2019)
Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. CoRR (2019)
Snehashis Roy, John A. Butman, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. CoRR (2018)
Snehashis Roy, Andrew K. Knutsen, Alexandru Korotcov, Asamoah Bosomtwi, Bernard Dardzinski, John A. Butman, Dzung L. Pham
A deep learning framework for brain extraction in humans and animals with traumatic brain injury. ISBI (2018)
Snehashis Roy, John A. Butman, Dzung L. Pham
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. CoRR (2018)
Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy
Classifying magnetic resonance image modalities with convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2018)
Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy
Classifying magnetic resonance image modalities with convolutional neural networks. CoRR (2018)
Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham
TBI Contusion Segmentation from MRI using Convolutional Neural Networks. CoRR (2018)
Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham
TBI contusion segmentation from MRI using convolutional neural networks. ISBI (2018)
Yi-Yu Chou, Snehashis Roy, Catie Chang, John A. Butman, Dzung L. Pham
Deep learning of resting state networks from independent component analysis. ISBI (2018)
Snehashis Roy, John A. Butman, Dzung L. Pham
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. SASHIMI@MICCAI (2017)
Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince
Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince
Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. MICCAI (1) (2017)
Snehashis Roy, John A. Butman, Dzung L. Pham
Robust skull stripping using multiple MR image contrasts insensitive to pathology. NeuroImage 146 (2017)
Snehashis Roy, Yi-Yu Chou, Amod Jog, John A. Butman, Dzung L. Pham
Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. SASHIMI@MICCAI (2016)
Marcelo Adrián Castro, Joshua P. Williford, Martin R. Cota, Judy M. MacLaren, Bernard J. Dardzinski, Lawrence L. Latour, Dzung L. Pham, John A. Butman
Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Snehashis Roy, Amod Jog, Elizabeth M. Sweeney, John A. Butman, Dzung L. Pham
Cerebral microbleed segmentation from susceptibility weighted images. Medical Imaging: Image Processing (2015)
Snehashis Roy, Sean Wilkes, Ramon Diaz-Arrastia, John A. Butman, Dzung L. Pham
Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury. Medical Imaging: Image Processing (2015)
Marcelo Adrián Castro, Jianhua Yao, Yuxi Pang, Eva Baker, John A. Butman, David Thomasson
Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields. ISBI (2010)
Whitney Anne Postman-Caucheteux, Rasmus M. Birn, Randall H. Pursley, John A. Butman, Jeffrey M. Solomon, Dante Picchioni, Joe McArdle, Allen R. Braun
Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients. J. Cogn. Neurosci. 22 (6) (2010)
Marcelo Adrián Castro, Jianhua Yao, Yuxi Pang, Christabel Lee, Eva Baker, John A. Butman, Iordanis E. Evangelou, David Thomasson
Inhomogeneity Correction in 3T MRI Brain Studies. IEEE Trans. Medical Imaging 29 (11) (2010)
Marius George Linguraru, John A. Butman
Segmentation propagation for the automated quantification of ventricle volume from serial MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
John A. Butman, Marius George Linguraru
Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus. ISBI (2008)
Jeffrey M. Solomon, Vanessa Raymont, Allen R. Braun, John A. Butman, Jordan Henry Grafman
User-friendly software for the analysis of brain lesions (ABLe). Comput. Methods Programs Biomed. 86 (3) (2007)
Jeffrey M. Solomon, John A. Butman, Arun Sood
Segmentation of brain tumors in 4D MR images using the hidden Markov model. Comput. Methods Programs Biomed. 84 (2-3) (2006)
Jeffrey M. Solomon, John A. Butman, Arun Sood
Segmentation of objects in temporal images using the hidden Markov model. ICIP (1) (2005)
Jeffrey M. Solomon, John A. Butman, Arun Sood
Data Driven Brain Tumor Segmentation in MRI Using Probabilistic Reasoning over Space and Time. MICCAI (1) (2004)
Jianhua Yao, Michael Collins, John A. Butman, Janice Lee
Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones. ISBI (2004)
A. J. Rebmann, John A. Butman
Heterogeneity of MR Signal Intensity Mapped onto Brain Surface Models. AIPR (2003)