John A. Butman

Orcid: 0000-0002-1547-9195

Affiliations:
  • National Institutes of Health, Bethesda, MD, USA


According to our database1, John A. Butman authored at least 31 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2020
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

2019
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks.
CoRR, 2018

Classifying magnetic resonance image modalities with convolutional neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

A deep learning framework for brain extraction in humans and animals with traumatic brain injury.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

TBI contusion segmentation from MRI using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep learning of resting state networks from independent component analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Robust skull stripping using multiple MR image contrasts insensitive to pathology.
NeuroImage, 2017

Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

Falx Cerebri Segmentation via Multi-atlas Boundary Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Cerebral microbleed segmentation from susceptibility weighted images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2010
Template-Based B <sub>1</sub> Inhomogeneity Correction in 3T MRI Brain Studies.
IEEE Trans. Medical Imaging, 2010

Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients.
J. Cogn. Neurosci., 2010

Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Segmentation propagation for the automated quantification of ventricle volume from serial MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
User-friendly software for the analysis of brain lesions (ABLe).
Comput. Methods Programs Biomed., 2007

2006
Segmentation of brain tumors in 4D MR images using the hidden Markov model.
Comput. Methods Programs Biomed., 2006

2005
Segmentation of objects in temporal images using the hidden Markov model.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Data Driven Brain Tumor Segmentation in MRI Using Probabilistic Reasoning over Space and Time.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Heterogeneity of MR Signal Intensity Mapped onto Brain Surface Models.
Proceedings of the 32nd Applied Image Pattern Recognition Workshop (AIPR 2003), 2003


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