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John A. Butman
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- affiliation: National Institutes of Health, Bethesda, MD, USA
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2020 – today
- 2022
- [c25]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 - 2021
- [i7]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 abs/2103.02767 (2021) - 2020
- [c24]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: 1-10 - [c23]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: 170-180 - [c22]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: 572-582 - [c21]Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Medical Imaging: Image Processing 2020: 113130F
2010 – 2019
- 2019
- [c20]Syed M. S. Reza, Snehashis Roy
Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095325 - [c19]Samuel Remedios, Snehashis Roy
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Medical Imaging: Image Processing 2019: 109490A - [i6]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 abs/1903.04207 (2019) - [i5]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 abs/1911.05650 (2019) - 2018
- [c18]Snehashis Roy
TBI contusion segmentation from MRI using convolutional neural networks. ISBI 2018: 158-162 - [c17]Snehashis Roy
A deep learning framework for brain extraction in humans and animals with traumatic brain injury. ISBI 2018: 687-691 - [c16]Yi-Yu Chou, Snehashis Roy
Deep learning of resting state networks from independent component analysis. ISBI 2018: 747-751 - [c15]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: 105752I - [i4]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 abs/1803.09172 (2018) - [i3]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. CoRR abs/1804.05764 (2018) - [i2]Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI Contusion Segmentation from MRI using Convolutional Neural Networks. CoRR abs/1807.10839 (2018) - [i1]Snehashis Roy, John A. Butman, Dzung L. Pham:
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. CoRR abs/1807.10850 (2018) - 2017
- [j5]Snehashis Roy
Robust skull stripping using multiple MR image contrasts insensitive to pathology. NeuroImage 146: 132-147 (2017) - [c14]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: 101371D - [c13]Snehashis Roy
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. SASHIMI@MICCAI 2017: 24-32 - [c12]Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince:
Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. MICCAI (1) 2017: 92-99 - 2016
- [c11]Marcelo Adrián Castro
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: 97882P - [c10]Snehashis Roy
Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. SASHIMI@MICCAI 2016: 146-156 - 2015
- [c9]Snehashis Roy
Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury. Medical Imaging: Image Processing 2015: 94130I - [c8]Snehashis Roy
Cerebral microbleed segmentation from susceptibility weighted images. Medical Imaging: Image Processing 2015: 94131E - 2010
- [j4]Whitney Anne Postman-Caucheteux, Rasmus M. Birn, Randall H. Pursley, John A. Butman
Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients. J. Cogn. Neurosci. 22(6): 1299-1318 (2010) - [j3]Marcelo Adrián Castro
Template-Based B 1 Inhomogeneity Correction in 3T MRI Brain Studies. IEEE Trans. Medical Imaging 29(11): 1927-1941 (2010) - [c7]Marcelo Adrián Castro
Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields. ISBI 2010: 73-76
2000 – 2009
- 2009
- [c6]Marius George Linguraru, John A. Butman
Segmentation propagation for the automated quantification of ventricle volume from serial MRI. Medical Imaging: Computer-Aided Diagnosis 2009: 72601Z - 2008
- [c5]John A. Butman
Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus. ISBI 2008: 49-52 - 2007
- [j2]Jeffrey M. Solomon, Vanessa Raymont
User-friendly software for the analysis of brain lesions (ABLe). Comput. Methods Programs Biomed. 86(3): 245-254 (2007) - 2006
- [j1]Jeffrey M. Solomon, John A. Butman
Segmentation of brain tumors in 4D MR images using the hidden Markov model. Comput. Methods Programs Biomed. 84(2-3): 76-85 (2006) - 2005
- [c4]Jeffrey M. Solomon, John A. Butman
Segmentation of objects in temporal images using the hidden Markov model. ICIP (1) 2005: 1-4 - 2004
- [c3]Jianhua Yao
Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones. ISBI 2004: 245-248 - [c2]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: 301-309 - 2003
- [c1]Andrea J. Rebmann, John A. Butman:
Heterogeneity of MR Signal Intensity Mapped onto Brain Surface Models. AIPR 2003: 119-124
Coauthor Index
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