Dzung L. Pham

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 55

Top Venues

CoRR

Medical Imaging: Image Processing

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

SASHIMI@MICCAI

Publications

Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning? CoRR (2024)
Samuel W. Remedios, Shuo Han, Lianrui Zuo, Aaron Carass, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey
Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. SASHIMI@MICCAI (2023)
Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. CoRR (2023)
Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince
A deep generative prior for high-resolution isotropic MR head slices. Medical Imaging: Image Processing (2023)
Ahmed Alshareef, Curtis L. Johnson, Aaron Carass, Andrew K. Knutsen, Peyton L. Delgorio, Grace McIlvain, Alexa M. Diano, K. T. Ramesh, Philip V. Bayly, Dzung L. Pham, Jerry L. Prince
Relationship between cerebral vasculature and brain stiffness measured using MR elastography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Yuan Xue, Blake E. Dewey, Lianrui Zuo, Shuo Han, Aaron Carass, Peiyu Duan, Samuel W. Remedios, Dzung L. Pham, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. SASHIMI@MICCAI (2022)
Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince
Deep filter bank regression for super-resolution of anisotropic MR brain images. CoRR (2022)
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)
Pouria Tohidi, Samuel W. Remedios, Danielle L. Greenman, Muhan Shao, Shuo Han, Blake E. Dewey, Jacob C. Reinhold, Yi-Yu Chou, Dzung L. Pham, Jerry L. Prince, Aaron Carass
Multiple Sclerosis brain lesion segmentation with different architecture ensembles. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. MICCAI (6) (2022)
Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. IEEE Trans. Medical Imaging 40 (3) (2021)
Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass
Joint Image and Label Self-super-Resolution. SASHIMI@MICCAI (2021)
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)
Arnold D. Gomez, Andrew K. Knutsen, Fangxu Xing, Yuan-Chiao Lu, Deva Chan, Dzung L. Pham, Philip V. Bayly, Jerry L. Prince
3-D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models. IEEE Trans. Biomed. Eng. 66 (5) (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)
Can Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Pascal Sati, Dzung L. Pham, Jerry L. Prince
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. MICCAI (1) (2018)
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)
Dzung L. Pham, Snehashis Roy
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification. CoRR (2018)
Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham
TBI Contusion Segmentation from MRI using Convolutional Neural Networks. CoRR (2018)
Dzung L. Pham, Snehashis Roy
Alternating segmentation and simulation for contrast adaptive tissue classification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (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)
Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Ipek Oguz
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI (2017)
Amod Jog, Aaron Carass, Snehashis Roy, Dzung L. Pham, Jerry L. Prince
Random forest regression for magnetic resonance image synthesis. Medical Image Anal. 35 (2017)
Snehashis Roy, John A. Butman, Dzung L. Pham
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. SASHIMI@MICCAI (2017)
Aaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen
Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. Patch-MI@MICCAI (2017)
Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen L. Stone, Jerry L. Prince
Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images. IEEE Trans. Medical Imaging 36 (10) (2017)
Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. BrainLes@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)
Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
Combining multi-atlas segmentation with brain surface estimation. Medical Imaging: Image Processing (2016)
Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen L. Stone, Jerry L. Prince
Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images. RAMBO+HVSMR@MICCAI (2016)
Lotta Maria Ellingsen, Snehashis Roy, Aaron Carass, Ari Blitz, Dzung L. Pham, Jerry L. Prince
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling. Medical Imaging: Image Processing (2016)
Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage 138 (2016)
Snehashis Roy, Qing He, Elizabeth M. Sweeney, Aaron Carass, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation. IEEE J. Biomed. Health Informatics 19 (5) (2015)
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)
Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
Multi-output decision trees for lesion segmentation in multiple sclerosis. Medical Imaging: Image Processing (2015)
Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions. MLMI (2015)
Amod Jog, Aaron Carass, Snehashis Roy, Dzung L. Pham, Jerry L. Prince
MR image synthesis by contrast learning on neighborhood ensembles. Medical Image Anal. 24 (1) (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)
Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
Tree-Encoded Conditional Random Fields for Image Synthesis. IPMI (2015)
Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI. ISBI (2014)
Snehashis Roy, Qing He, Aaron Carass, Amod Jog, Jennifer L. Cuzzocreo, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
Example based lesion segmentation. Medical Imaging: Image Processing (2014)
Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation. MLMI (2014)
Min Chen, Aaron Carass, Jiwon Oh, Govind Nair, Dzung L. Pham, Daniel S. Reich, Jerry L. Prince
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. NeuroImage 83 (2013)
Qing He, Navid Shiee, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
Intensity standardization of longitudinal images using 4D clustering. ISBI (2013)
Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung L. Pham, Pierre-Louis Bazin, Susan M. Resnick, Jerry L. Prince
System for Integrated Neuroimaging Analysis and Processing of Structure. Neuroinformatics 11 (1) (2013)
Min Chen, Aaron Carass, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham, Jerry L. Prince
Voxel-wise displacement as independent features in classification of multiple sclerosis. Medical Imaging: Image Processing (2013)
Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince
Longitudinal intensity normalization in the presence of multiple sclerosis lesions. ISBI (2013)
Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham
Clustering of High Dimensional Longitudinal Imaging Data. PRNI (2013)
Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
Editorial. Medical Image Anal. 15 (4) (2011)
Navid Shiee, Pierre-Louis Bazin, Jennifer L. Cuzzocreo, Ari Blitz, Dzung L. Pham
Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly. IPMI (2011)
Navid Shiee, Pierre-Louis Bazin, Peter A. Calabresi, Daniel S. Reich, Dzung L. Pham
Fiber tractogrophy and tract segmentation in multiple sclerosis lesions. ISBI (2011)
Pierre-Louis Bazin, Chuyang Ye, John A. Bogovic, Navid Shiee, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
Direct segmentation of the major white matter tracts in diffusion tensor images. NeuroImage 58 (2) (2011)
Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman
The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics 8 (1) (2010)
Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Jerry L. Prince
MR contrast synthesis for lesion segmentation. ISBI (2010)
Dzung L. Pham, Pierre-Louis Bazin, Jerry L. Prince
Digital Topology in Brain Imaging. IEEE Signal Process. Mag. 27 (4) (2010)
Navid Shiee, Pierre-Louis Bazin, Arzu Ozturk, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage 49 (2) (2010)
Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman
Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics 8 (1) (2010)
Navid Shiee, Pierre-Louis Bazin, Daniel S. Reich, Dzung L. Pham
Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients. ISBI (2009)
Pierre-Louis Bazin, John A. Bogovic, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
Belief Propagation Based Segmentation of White Matter Tracts in DTI. MICCAI (1) (2009)
Pierre-Louis Bazin, Dzung L. Pham
Homeomorphic brain image segmentation with topological and statistical atlases. Medical Image Anal. 12 (5) (2008)
Snehashis Roy, Harsh K. Agarwal, Aaron Carass, Ying Bai, Dzung L. Pham, Jerry L. Prince
Fuzzy c-means with variable compactness. ISBI (2008)
Pierre-Louis Bazin, Dzung L. Pham
Topology correction of segmented medical images using a fast marching algorithm. Comput. Methods Programs Biomed. 88 (2) (2007)
Pierre-Louis Bazin, Lotta Maria Ellingsen, Dzung L. Pham
Digital Homeomorphisms in Deformable Registration. IPMI (2007)
Pierre-Louis Bazin, Dzung L. Pham
Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images. IEEE Trans. Medical Imaging 26 (4) (2007)
Pierre-Louis Bazin, Dzung L. Pham
Statistical and Topological Atlas Based Brain Image Segmentation. MICCAI (1) (2007)
Pierre-Louis Bazin, Dzung L. Pham
TOADS: topology-preserving, anatomy-driven segmentation. ISBI (2006)
Dzung L. Pham, Pierre-Louis Bazin
Simultaneous registration and tissue classification using clustering algorithms. ISBI (2006)
Pierre-Louis Bazin, Dzung L. Pham
Topology Preserving Tissue Classification with Fast Marching and Topology Templates. IPMI (2005)
Pierre-Louis Bazin, Dzung L. Pham, William Gandler, Matthew J. McAuliffe
Free software tools for atlas-based volumetric neuroimage analysis. Medical Imaging: Image Processing (2005)
Pierre-Louis Bazin, Dzung L. Pham
Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation. MICCAI (2) (2005)
Ying Bai, Xiao Han, Dzung L. Pham, Jerry L. Prince
Super-resolved multi-channel fuzzy segmentation of MR brain images. Medical Imaging: Image Processing (2005)
Pierre-Louis Bazin, Dzung L. Pham
Topology Smoothing for Segmentation and Surface Reconstruction. MICCAI (1) (2004)
Xiao Han, Dzung L. Pham, Duygu Tosun, Maryam E. Rettmann, Chenyang Xu, Jerry L. Prince
CRUISE: Cortical reconstruction using implicit surface evolution. NeuroImage 23 (3) (2004)
Dzung L. Pham, Pierre-Louis Bazin
Simultaneous Boundary and Partial Volume Estimation in Medical Images. MICCAI (1) (2004)
Dzung L. Pham
Integrating Intensity and Boundary Information for Tissue Classification. CBMS (2004)
Dzung L. Pham, Jerry L. Prince
Robust Unsupervised Tissue Classification in MR Images. ISBI (2004)
Kirsten Judith Behnke, Maryam E. Rettmann, Dzung L. Pham, Dinggang Shen, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince
Automatic classification of sulcal regions of the human brain cortex using pattern recognition. Medical Imaging: Image Processing (2003)
Dzung L. Pham
Fuzzy clustering with spatial constraints. ICIP (2) (2002)
Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos
Automatic segmentation of white matter lesions in T1-weighted brain MR images. ISBI (2002)
Dzung L. Pham, Xiao Han, Maryam E. Rettmann, Chenyang Xu, Duygu Tosun, Susan M. Resnick, Jerry L. Prince
New approaches for measuring changes in the cortical surface using an automatic reconstruction algorithm. Medical Imaging: Image Processing (2002)
Dzung L. Pham
Spatial Models for Fuzzy Clustering. Comput. Vis. Image Underst. 84 (2) (2001)
Dzung L. Pham
Robust Fuzzy Segmentation of Magnetic Resonance Images. CBMS (2001)
Dzung L. Pham
Edge-Adaptive Clustering for Unsupervised Image Segmentation. ICIP (2000)
Daphne N. Yu, Chenyang Xu, Maryam E. Rettmann, Dzung L. Pham, Jerry L. Prince
Quantitative validation of a deformable cortical surface model. Medical Imaging: Image Processing (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dzung L. Pham