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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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2020 – today
- 2024
- [c75]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 - [i11]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
- [c74]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]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. Image Processing 2023 - [i10]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
- [c72]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c71]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c70]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]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]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. Image Processing 2022 - [i9]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
- [j25]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) - [c67]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 - [i8]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
- [c66]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]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]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]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. Image Processing 2020: 113130F
2010 – 2019
- 2019
- [j24]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) - [c62]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095325 - [c61]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. Image Processing 2019: 109490A - [i7]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]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
- [c60]Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI contusion segmentation from MRI using convolutional neural networks. ISBI 2018: 158-162 - [c59]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]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]Dzung L. Pham, Snehashis Roy:
Alternating segmentation and simulation for contrast adaptive tissue classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057804 - [c56]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. Computer-Aided Diagnosis 2018: 105752I - [c55]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 - [i5]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]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]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]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]Dzung L. Pham, Snehashis Roy:
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification. CoRR abs/1811.07087 (2018) - 2017
- [j23]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]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]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) - [c54]Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince:
Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371D - [c53]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]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]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]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]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
- [j20]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) - [c48]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97882P - [c47]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 - [c46]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 - [c45]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. Image Processing 2016: 97840G - [c44]Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman:
Combining multi-atlas segmentation with brain surface estimation. Image Processing 2016: 97840E - 2015
- [j19]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]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) - [c43]Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
Tree-Encoded Conditional Random Fields for Image Synthesis. IPMI 2015: 733-745 - [c42]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]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. Image Processing 2015: 94130I - [c40]Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
Multi-output decision trees for lesion segmentation in multiple sclerosis. Image Processing 2015: 94131C - [c39]Snehashis Roy, Amod Jog, Elizabeth M. Sweeney, John A. Butman, Dzung L. Pham:
Cerebral microbleed segmentation from susceptibility weighted images. Image Processing 2015: 94131E - 2014
- [c38]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]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 - [c36]Snehashis Roy, Qing He, Aaron Carass, Amod Jog, Jennifer L. Cuzzocreo, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham:
Example based lesion segmentation. Image Processing 2014: 90341Y - 2013
- [j17]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]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) - [c35]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 - [c34]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]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. Image Processing 2013: 86690K - [c32]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
- [j15]Jerry L. Prince, Dzung L. Pham, Kyle J. Myers:
Editorial. Medical Image Anal. 15(4): 601-602 (2011) - [j14]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) - [c31]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]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
- [j13]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]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]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]Dzung L. Pham, Pierre-Louis Bazin, Jerry L. Prince:
Digital Topology in Brain Imaging. IEEE Signal Process. Mag. 27(4): 51-59 (2010) - [c29]Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Jerry L. Prince:
MR contrast synthesis for lesion segmentation. ISBI 2010: 932-935
2000 – 2009
- 2009
- [c28]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]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 - [e1]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] - 2008
- [j9]Pierre-Louis Bazin, Dzung L. Pham:
Homeomorphic brain image segmentation with topological and statistical atlases. Medical Image Anal. 12(5): 616-625 (2008) - [c26]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
- [j8]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]Pierre-Louis Bazin, Dzung L. Pham:
Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images. IEEE Trans. Medical Imaging 26(4): 487-496 (2007) - [c25]Pierre-Louis Bazin, Lotta Maria Ellingsen, Dzung L. Pham:
Digital Homeomorphisms in Deformable Registration. IPMI 2007: 211-222 - [c24]Pierre-Louis Bazin, Dzung L. Pham:
Statistical and Topological Atlas Based Brain Image Segmentation. MICCAI (1) 2007: 94-101 - 2006
- [c23]Pierre-Louis Bazin, Dzung L. Pham:
TOADS: topology-preserving, anatomy-driven segmentation. ISBI 2006: 327-330 - [c22]Dzung L. Pham, Pierre-Louis Bazin:
Simultaneous registration and tissue classification using clustering algorithms. ISBI 2006: 650-653 - 2005
- [c21]Pierre-Louis Bazin, Dzung L. Pham:
Topology Preserving Tissue Classification with Fast Marching and Topology Templates. IPMI 2005: 234-245 - [c20]Pierre-Louis Bazin, Dzung L. Pham:
Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation. MICCAI (2) 2005: 484-491 - [c19]Ying Bai, Xiao Han, Dzung L. Pham, Jerry L. Prince:
Super-resolved multi-channel fuzzy segmentation of MR brain images. Image Processing 2005 - [c18]Pierre-Louis Bazin, Dzung L. Pham, William Gandler, Matthew J. McAuliffe:
Free software tools for atlas-based volumetric neuroimage analysis. Image Processing 2005 - 2004
- [j6]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) - [c17]Dzung L. Pham:
Integrating Intensity and Boundary Information for Tissue Classification. CBMS 2004: 216-220 - [c16]Dzung L. Pham, Jerry L. Prince:
Robust Unsupervised Tissue Classification in MR Images. ISBI 2004: 109-112 - [c15]Pierre-Louis Bazin, Dzung L. Pham:
Topology Smoothing for Segmentation and Surface Reconstruction. MICCAI (1) 2004: 111-118 - [c14]Dzung L. Pham, Pierre-Louis Bazin:
Simultaneous Boundary and Partial Volume Estimation in Medical Images. MICCAI (1) 2004: 119-126 - 2003
- [c13]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. Image Processing 2003 - 2002
- [c12]Dzung L. Pham:
Fuzzy clustering with spatial constraints. ICIP (2) 2002: 65-68 - [c11]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]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. Image Processing 2002 - 2001
- [j5]Dzung L. Pham:
Spatial Models for Fuzzy Clustering. Comput. Vis. Image Underst. 84(2): 285-297 (2001) - [c9]Dzung L. Pham:
Robust Fuzzy Segmentation of Magnetic Resonance Images. CBMS 2001: 127-131 - 2000
- [c8]Dzung L. Pham:
Edge-Adaptive Clustering for Unsupervised Image Segmentation. ICIP 2000: 816-819 - [c7]Daphne N. Yu, Chenyang Xu, Maryam E. Rettmann, Dzung L. Pham, Jerry L. Prince:
Quantitative validation of a deformable cortical surface model. Image Processing 2000
1990 – 1999
- 1999
- [j4]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]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]Dzung L. Pham, Jerry L. Prince:
Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Trans. Medical Imaging 18(9): 737-752 (1999) - [c6]Dzung L. Pham, Jerry L. Prince:
An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images. IPMI 1999: 140-153 - [c5]Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince:
Automated Segmentation of Sulcal Regions. MICCAI 1999: 158-167 - 1998
- [c4]Dzung L. Pham, Jerry L. Prince:
Partial Volume Estimation and the Fuzzy C-means Algorithm. ICIP (3) 1998: 819-822 - [c3]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]