Dzung L. Pham

Affiliations:
  • Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
  • Johns Hopkins University, Department of Radiology, Baltimore, MD, USA
  • National Institutes of Health, Bethesda, MD, USA


According to our database1, Dzung L. Pham authored at least 102 papers between 1997 and 2024.

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

Timeline

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Bibliography

2024
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
CoRR, 2024

Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
A deep generative prior for high-resolution isotropic MR head slices.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

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

Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiple Sclerosis brain lesion segmentation with different architecture ensembles.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Relationship between cerebral vasculature and brain stiffness measured using MR elastography.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.
IEEE Trans. Medical Imaging, 2021

Joint Image and Label Self-super-Resolution.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

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
3-D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models.
IEEE Trans. Biomed. Eng., 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

A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Alternating segmentation and simulation for contrast adaptive tissue classification.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 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
Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2017

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

Random forest regression for magnetic resonance image synthesis.
Medical Image Anal., 2017

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

Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

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

Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

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

2016
Consistent cortical reconstruction and multi-atlas brain segmentation.
NeuroImage, 2016

Combining multi-atlas segmentation with brain surface estimation.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 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
Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.
IEEE J. Biomed. Health Informatics, 2015

MR image synthesis by contrast learning on neighborhood ensembles.
Medical Image Anal., 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

Multi-output decision trees for lesion segmentation in multiple sclerosis.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Tree-Encoded Conditional Random Fields for Image Synthesis.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Example based lesion segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
System for Integrated Neuroimaging Analysis and Processing of Structure.
Neuroinformatics, 2013

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
NeuroImage, 2013

Clustering of High Dimensional Longitudinal Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Voxel-wise displacement as independent features in classification of multiple sclerosis.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Longitudinal intensity normalization in the presence of multiple sclerosis lesions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Intensity standardization of longitudinal images using 4D clustering.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
Direct segmentation of the major white matter tracts in diffusion tensor images.
NeuroImage, 2011

Editorial.
Medical Image Anal., 2011

Fiber tractogrophy and tract segmentation in multiple sclerosis lesions.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Digital Topology in Brain Imaging.
IEEE Signal Process. Mag., 2010

Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software.
Neuroinformatics, 2010

The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software.
Neuroinformatics, 2010

A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.
NeuroImage, 2010

MR contrast synthesis for lesion segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Belief Propagation Based Segmentation of White Matter Tracts in DTI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Homeomorphic brain image segmentation with topological and statistical atlases.
Medical Image Anal., 2008

Fuzzy c-means with variable compactness.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images.
IEEE Trans. Medical Imaging, 2007

Topology correction of segmented medical images using a fast marching algorithm.
Comput. Methods Programs Biomed., 2007

Statistical and Topological Atlas Based Brain Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Digital Homeomorphisms in Deformable Registration.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Simultaneous registration and tissue classification using clustering algorithms.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

TOADS: topology-preserving, anatomy-driven segmentation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Free software tools for atlas-based volumetric neuroimage analysis.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Super-resolved multi-channel fuzzy segmentation of MR brain images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Topology Preserving Tissue Classification with Fast Marching and Topology Templates.
Proceedings of the Information Processing in Medical Imaging, 2005

2004
CRUISE: Cortical reconstruction using implicit surface evolution.
NeuroImage, 2004

Simultaneous Boundary and Partial Volume Estimation in Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Topology Smoothing for Segmentation and Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Robust Unsupervised Tissue Classification in MR Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Integrating Intensity and Boundary Information for Tissue Classification.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003
Automatic classification of sulcal regions of the human brain cortex using pattern recognition.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
New approaches for measuring changes in the cortical surface using an automatic reconstruction algorithm.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Automatic segmentation of white matter lesions in T1-weighted brain MR images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Fuzzy clustering with spatial constraints.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Spatial Models for Fuzzy Clustering.
Comput. Vis. Image Underst., 2001

Robust Fuzzy Segmentation of Magnetic Resonance Images.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

2000
Quantitative validation of a deformable cortical surface model.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Edge-Adaptive Clustering for Unsupervised Image Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
Reconstruction of the Human Cerebral Cortex from Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 1999

Adaptive Fuzzy Segmentation of Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 1999

An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities.
Pattern Recognit. Lett., 1999

Automated Segmentation of Sulcal Regions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images.
Proceedings of the Information Processing in Medical Imaging, 1999

1998
Adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

Partial Volume Estimation and the Fuzzy C-means Algorithm.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
An Automated Technique for Statistical Characterization of Brain Tissues in Magnetic Resonance Imaging.
Int. J. Pattern Recognit. Artif. Intell., 1997

Finding the Brain Cortex Using Fuzzy Segmentation, Isosurfaces, and Deformable Surface Models.
Proceedings of the Information Processing in Medical Imaging, 1997


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