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Dzung L. Pham

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

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2021
[j25]
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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): 805-817 (2021)
2019
[j24]
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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): 1456-1467 (2019)
2017
[j23]
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Amod Jog, Aaron Carass, Snehashis Roy, Dzung L. Pham, Jerry L. Prince:
Random forest regression for magnetic resonance image synthesis. Medical Image Anal. 35: 475-488 (2017)
[j22]
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Snehashis Roy, John A. Butman, Dzung L. Pham:
Robust skull stripping using multiple MR image contrasts insensitive to pathology. NeuroImage 146: 132-147 (2017)
[j21]
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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): 2116-2128 (2017)
2016
[j20]
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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: 197-210 (2016)
2015
[j19]
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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): 63-76 (2015)
[j18]
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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): 1598-1609 (2015)
2013
[j17]
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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: 1051-1062 (2013)
[j16]
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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): 91-103 (2013)
2011
[j15]
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Jerry L. Prince, Dzung L. Pham, Kyle J. Myers:
Editorial. Medical Image Anal. 15(4): 601-602 (2011)
[j14]
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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): 458-468 (2011)
2010
[j13]
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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): 1524-1535 (2010)
[j12]
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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): 5-17 (2010)
[j11]
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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): 19 (2010)
[j10]
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Dzung L. Pham, Pierre-Louis Bazin, Jerry L. Prince:
Digital Topology in Brain Imaging. IEEE Signal Process. Mag. 27(4): 51-59 (2010)
2008
[j9]
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Pierre-Louis Bazin, Dzung L. Pham:
Homeomorphic brain image segmentation with topological and statistical atlases. Medical Image Anal. 12(5): 616-625 (2008)
2007
[j8]
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Pierre-Louis Bazin, Dzung L. Pham:
Topology correction of segmented medical images using a fast marching algorithm. Comput. Methods Programs Biomed. 88(2): 182-190 (2007)
[j7]
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Pierre-Louis Bazin, Dzung L. Pham:
Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images. IEEE Trans. Medical Imaging 26(4): 487-496 (2007)
2004
[j6]
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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): 997-1012 (2004)
2001
[j5]
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Dzung L. Pham:
Spatial Models for Fuzzy Clustering. Comput. Vis. Image Underst. 84(2): 285-297 (2001)
1999
[j4]
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Dzung L. Pham, Jerry L. Prince:
An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit. Lett. 20(1): 57-68 (1999)
[j3]
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Chenyang Xu, Dzung L. Pham, Maryam E. Rettmann, Daphne N. Yu, Jerry L. Prince:
Reconstruction of the Human Cerebral Cortex from Magnetic Resonance Images. IEEE Trans. Medical Imaging 18(6): 467-480 (1999)
[j2]
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Dzung L. Pham, Jerry L. Prince:
Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Trans. Medical Imaging 18(9): 737-752 (1999)
1997
[j1]
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Dzung L. Pham, Jerry L. Prince, Chenyang Xu, Azar P. Dagher:
An Automated Technique for Statistical Characterization of Brain Tissues in Magnetic Resonance Imaging. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1189-1211 (1997)

Conference and Workshop Papers

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2024
[c75]
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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. ISBI 2024: 1-5
2023
[c74]
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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: 118-128
[c73]
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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
2022
[c72]
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  - conf/mibam/AlshareefJCKDMD22
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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
[c71]
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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
[c70]
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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: 55-65
[c69]
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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: 613-622
[c68]
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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
[c67]
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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: 14-23
2020
[c66]
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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
[c65]
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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
[c64]
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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
[c63]
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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: 113130F
2019
[c62]
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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: 1095325
[c61]
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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: 109490A
2018
[c60]
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Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI contusion segmentation from MRI using convolutional neural networks. ISBI 2018: 158-162
[c59]
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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: 687-691
[c58]
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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: 747-751
[c57]
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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: 1057804
[c56]
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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
[c55]
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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: 100-108
2017
[c54]
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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
[c53]
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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: 3-14
[c52]
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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: 20-28
[c51]
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Snehashis Roy, John A. Butman, Dzung L. Pham:
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. SASHIMI@MICCAI 2017: 24-32
[c50]
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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: 43-54
[c49]
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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
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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: 97882P
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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: 24-33
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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: 146-156
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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: 97840G
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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: 97840E
2015
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Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
Tree-Encoded Conditional Random Fields for Image Synthesis. IPMI 2015: 733-745
[c42]
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Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham:
Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions. MLMI 2015: 194-202
[c41]
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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: 94130I
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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: 94131C
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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: 94131E
2014
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Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI. ISBI 2014: 1079-1082
[c37]
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Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham:
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation. MLMI 2014: 248-255
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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: 90341Y
2013
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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: 1384-1387
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Qing He, Navid Shiee, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham:
Intensity standardization of longitudinal images using 4D clustering. ISBI 2013: 1388-1391
[c33]
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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: 86690K
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Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham:
Clustering of High Dimensional Longitudinal Imaging Data. PRNI 2013: 33-36
2011
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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: 1-12
[c30]
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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: 1488-1491
2010
[c29]
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Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Jerry L. Prince:
MR contrast synthesis for lesion segmentation. ISBI 2010: 932-935
2009
[c28]
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Navid Shiee, Pierre-Louis Bazin, Daniel S. Reich, Dzung L. Pham:
Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients. ISBI 2009: 1334-1337
[c27]
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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: 943-950
2008
[c26]
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Snehashis Roy, Harsh K. Agarwal, Aaron Carass, Ying Bai, Dzung L. Pham, Jerry L. Prince:
Fuzzy c-means with variable compactness. ISBI 2008: 452-455
2007
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Pierre-Louis Bazin, Lotta Maria Ellingsen, Dzung L. Pham:
Digital Homeomorphisms in Deformable Registration. IPMI 2007: 211-222
[c24]
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Pierre-Louis Bazin, Dzung L. Pham:
Statistical and Topological Atlas Based Brain Image Segmentation. MICCAI (1) 2007: 94-101
2006
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Pierre-Louis Bazin, Dzung L. Pham:
TOADS: topology-preserving, anatomy-driven segmentation. ISBI 2006: 327-330
[c22]
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Dzung L. Pham, Pierre-Louis Bazin:
Simultaneous registration and tissue classification using clustering algorithms. ISBI 2006: 650-653
2005
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Pierre-Louis Bazin, Dzung L. Pham:
Topology Preserving Tissue Classification with Fast Marching and Topology Templates. IPMI 2005: 234-245
[c20]
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Pierre-Louis Bazin, Dzung L. Pham:
Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation. MICCAI (2) 2005: 484-491
[c19]
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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
[c18]
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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
2004
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Dzung L. Pham:
Integrating Intensity and Boundary Information for Tissue Classification. CBMS 2004: 216-220
[c16]
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Dzung L. Pham, Jerry L. Prince:
Robust Unsupervised Tissue Classification in MR Images. ISBI 2004: 109-112
[c15]
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Pierre-Louis Bazin, Dzung L. Pham:
Topology Smoothing for Segmentation and Surface Reconstruction. MICCAI (1) 2004: 111-118
[c14]
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Dzung L. Pham, Pierre-Louis Bazin:
Simultaneous Boundary and Partial Volume Estimation in Medical Images. MICCAI (1) 2004: 119-126
2003
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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
2002
[c12]
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Dzung L. Pham:
Fuzzy clustering with spatial constraints. ICIP (2) 2002: 65-68
[c11]
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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: 253-256
[c10]
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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
2001
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Dzung L. Pham:
Robust Fuzzy Segmentation of Magnetic Resonance Images. CBMS 2001: 127-131
2000
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Dzung L. Pham:
Edge-Adaptive Clustering for Unsupervised Image Segmentation. ICIP 2000: 816-819
[c7]
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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
1999
[c6]
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Dzung L. Pham, Jerry L. Prince:
An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images. IPMI 1999: 140-153
[c5]
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Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince:
Automated Segmentation of Sulcal Regions. MICCAI 1999: 158-167
1998
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Dzung L. Pham, Jerry L. Prince:
Partial Volume Estimation and the Fuzzy C-means Algorithm. ICIP (3) 1998: 819-822
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Chenyang Xu, Dzung L. Pham, Jerry L. Prince, Maryam E. Etemad, Daphne N. Yu:
Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images. MICCAI 1998: 481-488
[c2]
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Dzung L. Pham, Jerry L. Prince:
Adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities. Medical Imaging: Image Processing 1998
1997
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Chenyang Xu, Dzung L. Pham, Jerry L. Prince:
Finding the Brain Cortex Using Fuzzy Segmentation, Isosurfaces, and Deformable Surface Models. IPMI 1997: 399-404

Editorship

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2009
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Jerry L. Prince, Dzung L. Pham, Kyle J. Myers:
Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings. Lecture Notes in Computer Science 5636, Springer 2009, ISBN 978-3-642-02497-9 [contents]

Informal and Other Publications

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2024
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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 abs/2401.17571 (2024)
2023
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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 abs/2312.01460 (2023)
2022
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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 abs/2209.02611 (2022)
2021
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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)
2019
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  - https://dblp.org/rec/journals/corr/abs-1903-04207
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)
[i6]
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  - journals/corr/abs-1911-05650
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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
[i5]
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  - journals/corr/abs-1803-09172
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  - https://dblp.org/rec/journals/corr/abs-1803-09172
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)
[i4]
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  - journals/corr/abs-1804-05764
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  - https://dblp.org/rec/journals/corr/abs-1804-05764
Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. CoRR abs/1804.05764 (2018)
[i3]
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  - journals/corr/abs-1807-10839
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Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI Contusion Segmentation from MRI using Convolutional Neural Networks. CoRR abs/1807.10839 (2018)
[i2]
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  - journals/corr/abs-1807-10850
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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)
[i1]
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  dblp key:
  - journals/corr/abs-1811-07087
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Dzung L. Pham, Snehashis Roy:
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification. CoRR abs/1811.07087 (2018)

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