John A. Butman

发表

Improved T1 mapping by motion correction and template based B1 correction in 3T MRI brain studies

Jianhua Yao, Marcelo A. Castro, Christabel Lee, 2009, Medical Imaging.

Deep learning of resting state networks from independent component analysis

Catie Chang, Snehashis Roy, Yi-Yu Chou, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A deep learning framework for brain extraction in humans and animals with traumatic brain injury

Snehashis Roy, Dzung L. Pham, John A. Butman, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

User-friendly software for the analysis of brain lesions (ABLe)

Allen R. Braun, John A. Butman, Jeffrey Solomon, 2007, Comput. Methods Programs Biomed..

Segmentation propagation for the automated quantification of ventricle volume from serial MRI

Marius George Linguraru, John A. Butman, 2009, Medical Imaging.

TBI contusion segmentation from MRI using convolutional neural networks

Snehashis Roy, Dzung L. Pham, John A. Butman, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Falx Cerebri Segmentation via Multi-atlas Boundary Fusion

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, MICCAI.

Confocal volume rendering: fast, segmentation-free visualization of internal structures

R. Nick Bryan, Rakesh Mullick, John A. Butman, 2000, Medical Imaging.

A framework for spatial normalization and voxelwise analysis of diffusion propagators in multiple MAP-MRI data sets

Dzung L. Pham, M. Okan Irfanoglu, John A. Butman, 2019, bioRxiv.

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection

Snehashis Roy, Zihao Wu, Camilo Bermudez, 2019, Medical Imaging: Image Processing.

Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks pdf

Peter A. Calabresi, Snehashis Roy, Daniel S. Reich, 2018, ArXiv.

Template-Based $B _{1}$ Inhomogeneity Correction in 3T MRI Brain Studies

Jianhua Yao, Yuxi Pang, Christabel Lee, 2010, IEEE Transactions on Medical Imaging.

Quantitative evaluation of phase processing approaches in susceptibility weighted imaging

Pascal Sati, Dzung L. Pham, John A. Butman, 2012, Medical Imaging.

Automated segmentation of ventricles from serial brain MRI for the quantification of volumetric changes associated with communicating hydrocephalus in patients with brain tumor

Marius George Linguraru, John A. Butman, John Pura, 2011, Medical Imaging.

Segmentation of brain tumors in 4D MR images using the hidden Markov model

Arun K. Sood, John A. Butman, Jeffrey Solomon, 2006, Comput. Methods Programs Biomed..

Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI

Snehashis Roy, Dzung L. Pham, John A. Butman, 2019, Medical Imaging.

Heterogeneity of MR signal intensity mapped onto brain surface models

John A. Butman, A. J. Rebmann, 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..

Improved superficial brain hemorrhage visualization in susceptibility weighted images by constrained minimum intensity projection

Dzung L. Pham, Marcelo A. Castro, John A. Butman, 2016, SPIE Medical Imaging.

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers

Bennett A. Landman, Dzung L. Pham, John A. Butman, 2020, DART/DCL@MICCAI.

Cerebral microbleed segmentation from susceptibility weighted images

Snehashis Roy, Amod Jog, Dzung L. Pham, 2015, Medical Imaging.

Computer aided monitoring of fibrous dysplasia disease in craniofacial bones

Jianhua Yao, Michael Collins, John A. Butman, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus

Marius George Linguraru, John A. Butman, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields

Jianhua Yao, Yuxi Pang, John A. Butman, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Artifactual microhemorrhage generated by SWI processing

Wen-Tung Wang, Dzung L. Pham, John A. Butman, 2015 .

Robust skull stripping using multiple MR image contrasts insensitive to pathology

Snehashis Roy, Dzung L. Pham, John A. Butman, 2017, NeuroImage.

Characterizing the spatial distribution of microhemorrhages resulting from Traumatic Brain Injury (TBI)

Navid Shiee, Dzung L. Pham, John A. Butman, 2014, Medical Imaging.

Segmentation of objects in temporal images using the hidden Markov model

Arun K. Sood, John A. Butman, Jeffrey Solomon, 2005, IEEE International Conference on Image Processing 2005.

Data Driven Brain Tumor Segmentation in MRI Using Probabilistic Reasoning over Space and Time

Arun K. Sood, John A. Butman, Jeffrey Solomon, 2004, MICCAI.

Semi-automatic spinal cord segmentation and quantification

John A. Butman, Robert L. Van Uitert, Ingmar Bitter, 2005 .

Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients

Allen R. Braun, John A. Butman, Dante Picchioni, 2010, Journal of Cognitive Neuroscience.

AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets

Snehashis Roy, Dzung L. Pham, John A. Butman, 2020, MLMI@MICCAI.

Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks pdf

Snehashis Roy, Dzung L. Pham, John A. Butman, 2017, SASHIMI@MICCAI.

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Snehashis Roy, Camilo Bermudez, Bennett A. Landman, 2019, Medical Imaging: Image Processing.

Classifying magnetic resonance image modalities with convolutional neural networks

Snehashis Roy, Dzung L. Pham, John A. Butman, 2018, Medical Imaging.

Semi-automatic segmentation and quantification of 3D spinal cord data

John A. Butman, Robert Van Uitert, Ingmar Bitter, 2006, SPIE Medical Imaging.

Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction

Snehashis Roy, Amod Jog, Yi-Yu Chou, 2016, SASHIMI@MICCAI.

Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging

Bernard J. Dardzinski, Dzung L. Pham, John A. Butman, 2016, SPIE Medical Imaging.

Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images

Aaron Carass, Jerry L. Prince, Dzung L. Pham, 2017, Medical Imaging.

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis

Snehashis Roy, Yi-Yu Chou, Daniel S. Reich, 2020, SASHIMI@MICCAI.

Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury

Snehashis Roy, Dzung L. Pham, John A. Butman, 2015, Medical Imaging.

Making a difference, an integrated PACS workflow for evaluating longitudinal changes across serial imaging

Daniel S. Reich, Dzung L. Pham, John A. Butman, 2021, Medical Imaging.

Improved SNR for combined TMS-fMRI: A support device for commercially available body array coil

Wen-Tung Wang, John A. Butman, Benjamin Xu, 2017, Journal of Neuroscience Methods.

Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM

John A. Butman, Holly Ning, Kevin Camphausen, 2018, Journal of Neuro-Oncology.

Iron Accumulation in Deep Cortical Layers Accounts for MRI Signal Abnormalities in ALS: Correlating 7 Tesla MRI and Pathology

Jeff H. Duyn, John A. Butman, Laura E. Danielian, 2012, PloS one.