Dzung L. Pham - RankMe

117 papers A 2B 20Journal 40Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for multiple sclerosis lesion segmentation. Medical Image Anal. Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Yihao Liu, Savannah Hays, Dzung L. Pham, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Shiv Saidha, Aaron Carass, Jerry L. Prince
2025	—	`conf`	Brightness-Invariant Tracking Estimation in Tagged MRI. IPMI (2) Zhangxing Bian, Shuwen Wei, Xiao Liang, Yuan-Chiao Lu, Samuel W. Remedios, Fangxu Xing, Jonghye Woo, Dzung L. Pham, Aaron Carass, Philip V. Bayly, Jiachen Zhuo, Ahmed Alshareef, Jerry L. Prince
2025	J	`jnl`	Brightness-Invariant Tracking Estimation in Tagged MRI. CoRR Zhangxing Bian, Shuwen Wei, Xiao Liang, Yuan-Chiao Lu, Samuel W. Remedios, Fangxu Xing, Jonghye Woo, Dzung L. Pham, Aaron Carass, Philip V. Bayly, Jiachen Zhuo, Ahmed Alshareef, Jerry L. Prince
2025	J	`jnl`	ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement. CoRR Samuel W. Remedios, Shuwen Wei, Shuo Han, Jinwei Zhang, Aaron Carass, Kurt G. Schilling, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey
2025	J	`jnl`	UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation. CoRR Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Yihao Liu, Savannah Hays, Dzung L. Pham, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Aaron Carass, Jerry L. Prince
2024	J	`jnl`	Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning? CoRR Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince
2024	—	`conf`	Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion. ISBI Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince
2023	B	`conf`	A deep generative prior for high-resolution isotropic MR head slices. Image Processing Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince
2023	—	`conf`	Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. SASHIMI@MICCAI Samuel W. Remedios, Shuo Han, Lianrui Zuo, Aaron Carass, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey
2023	J	`jnl`	Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. CoRR Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince
2022	B	`conf`	Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. Image Processing Yi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham
2022	—	`conf`	Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. SASHIMI@MICCAI 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
2022	—	`conf`	Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. MICCAI (6) Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince
2022	J	`jnl`	Deep filter bank regression for super-resolution of anisotropic MR brain images. CoRR Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince
2022	—	`conf`	Multiple Sclerosis brain lesion segmentation with different architecture ensembles. Biomedical Applications in Molecular, Structural, and Functional Imaging 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
2022	—	`conf`	Relationship between cerebral vasculature and brain stiffness measured using MR elastography. Biomedical Applications in Molecular, Structural, and Functional Imaging 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
2021	J	`jnl`	Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. CoRR Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
2021	—	`conf`	Joint Image and Label Self-super-Resolution. SASHIMI@MICCAI Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass
2021	J	`jnl`	SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. IEEE Trans. Medical Imaging Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince
2020	—	`conf`	AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. MLMI@MICCAI Syed M. S. Reza, John A. Butman, Deric M. Park, Dzung L. Pham, Snehashis Roy
2020	—	`conf`	Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. SASHIMI@MICCAI Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
2020	B	`conf`	Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Image Processing Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
2020	—	`conf`	Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham
2019	J	`jnl`	3-D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models. IEEE Trans. Biomed. Eng. Arnold D. Gomez, Andrew K. Knutsen, Fangxu Xing, Yuan-Chiao Lu, Deva Chan, Dzung L. Pham, Philip V. Bayly, Jerry L. Prince
2019	—	`conf`	Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Syed M. S. Reza, Snehashis Roy, Deric M. Park, Dzung L. Pham, John A. Butman
2019	B	`conf`	Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Image Processing Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
2019	J	`jnl`	Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. CoRR Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
2019	J	`jnl`	Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. CoRR Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham
2018	—	`conf`	A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. MICCAI (1) 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
2018	—	`conf`	A deep learning framework for brain extraction in humans and animals with traumatic brain injury. ISBI Snehashis Roy, Andrew K. Knutsen, Alexandru Korotcov, Asamoah Bosomtwi, Bernard Dardzinski, John A. Butman, Dzung L. Pham
2018	J	`jnl`	Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification. CoRR Dzung L. Pham, Snehashis Roy
2018	—	`conf`	Alternating segmentation and simulation for contrast adaptive tissue classification. Biomedical Applications in Molecular, Structural, and Functional Imaging Dzung L. Pham, Snehashis Roy
2018	—	`conf`	Classifying magnetic resonance image modalities with convolutional neural networks. Computer-Aided Diagnosis Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy
2018	J	`jnl`	Classifying magnetic resonance image modalities with convolutional neural networks. CoRR Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy
2018	—	`conf`	Deep learning of resting state networks from independent component analysis. ISBI Yi-Yu Chou, Snehashis Roy, Catie Chang, John A. Butman, Dzung L. Pham
2018	J	`jnl`	Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. CoRR Snehashis Roy, John A. Butman, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
2018	J	`jnl`	Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. CoRR Snehashis Roy, John A. Butman, Dzung L. Pham
2018	J	`jnl`	TBI Contusion Segmentation from MRI using Convolutional Neural Networks. CoRR Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham
2018	—	`conf`	TBI contusion segmentation from MRI using convolutional neural networks. ISBI Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham
2017	—	`conf`	Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images. Biomedical Applications in Molecular, Structural, and Functional Imaging Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince
2017	—	`conf`	Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. BrainLes@MICCAI Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince
2017	—	`conf`	Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. MICCAI (1) Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince
2017	—	`conf`	Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Ipek Oguz
2017	J	`jnl`	Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images. IEEE Trans. Medical Imaging Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen L. Stone, Jerry L. Prince
2017	J	`jnl`	Random forest regression for magnetic resonance image synthesis. Medical Image Anal. Amod Jog, Aaron Carass, Snehashis Roy, Dzung L. Pham, Jerry L. Prince
2017	J	`jnl`	Robust skull stripping using multiple MR image contrasts insensitive to pathology. NeuroImage Snehashis Roy, John A. Butman, Dzung L. Pham
2017	—	`conf`	Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. SASHIMI@MICCAI Snehashis Roy, John A. Butman, Dzung L. Pham
2017	—	`conf`	Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. Patch-MI@MICCAI Aaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen
2016	B	`conf`	Combining multi-atlas segmentation with brain surface estimation. Image Processing Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
2016	J	`jnl`	Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
2016	—	`conf`	Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images. RAMBO+HVSMR@MICCAI Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen L. Stone, Jerry L. Prince
2016	—	`conf`	Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. SASHIMI@MICCAI Snehashis Roy, Yi-Yu Chou, Amod Jog, John A. Butman, Dzung L. Pham
2016	—	`conf`	Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Marcelo Adrián Castro, Joshua P. Williford, Martin R. Cota, Judy M. MacLaren, Bernard J. Dardzinski, Lawrence L. Latour, Dzung L. Pham, John A. Butman
2016	B	`conf`	Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling. Image Processing Lotta Maria Ellingsen, Snehashis Roy, Aaron Carass, Ari Blitz, Dzung L. Pham, Jerry L. Prince
2015	B	`conf`	Cerebral microbleed segmentation from susceptibility weighted images. Image Processing Snehashis Roy, Amod Jog, Elizabeth M. Sweeney, John A. Butman, Dzung L. Pham
2015	B	`conf`	Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury. Image Processing Snehashis Roy, Sean Wilkes, Ramon Diaz-Arrastia, John A. Butman, Dzung L. Pham
2015	—	`conf`	Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions. MLMI Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
2015	J	`jnl`	MR image synthesis by contrast learning on neighborhood ensembles. Medical Image Anal. Amod Jog, Aaron Carass, Snehashis Roy, Dzung L. Pham, Jerry L. Prince
2015	B	`conf`	Multi-output decision trees for lesion segmentation in multiple sclerosis. Image Processing Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
2015	J	`jnl`	Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation. IEEE J. Biomed. Health Informatics Snehashis Roy, Qing He, Elizabeth M. Sweeney, Aaron Carass, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
2015	—	`conf`	Tree-Encoded Conditional Random Fields for Image Synthesis. IPMI Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
2014	B	`conf`	Example based lesion segmentation. Image Processing Snehashis Roy, Qing He, Aaron Carass, Amod Jog, Jennifer L. Cuzzocreo, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
2014	—	`conf`	Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI. ISBI Amod Jog, Aaron Carass, Dzung L. Pham, Jerry L. Prince
2014	—	`conf`	Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation. MLMI Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
2013	J	`jnl`	Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. NeuroImage Min Chen, Aaron Carass, Jiwon Oh, Govind Nair, Dzung L. Pham, Daniel S. Reich, Jerry L. Prince
2013	—	`conf`	Clustering of High Dimensional Longitudinal Imaging Data. PRNI Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham
2013	—	`conf`	Intensity standardization of longitudinal images using 4D clustering. ISBI Qing He, Navid Shiee, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
2013	—	`conf`	Longitudinal intensity normalization in the presence of multiple sclerosis lesions. ISBI Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince
2013	J	`jnl`	System for Integrated Neuroimaging Analysis and Processing of Structure. Neuroinformatics 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
2013	B	`conf`	Voxel-wise displacement as independent features in classification of multiple sclerosis. Image Processing Min Chen, Aaron Carass, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham, Jerry L. Prince
2011	J	`jnl`	Direct segmentation of the major white matter tracts in diffusion tensor images. NeuroImage Pierre-Louis Bazin, Chuyang Ye, John A. Bogovic, Navid Shiee, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
2011	J	`jnl`	Editorial. Medical Image Anal. Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
2011	—	`conf`	Fiber tractogrophy and tract segmentation in multiple sclerosis lesions. ISBI Navid Shiee, Pierre-Louis Bazin, Peter A. Calabresi, Daniel S. Reich, Dzung L. Pham
2011	—	`conf`	Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly. IPMI Navid Shiee, Pierre-Louis Bazin, Jennifer L. Cuzzocreo, Ari Blitz, Dzung L. Pham
2010	J	`jnl`	A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage Navid Shiee, Pierre-Louis Bazin, Arzu Ozturk, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham
2010	J	`jnl`	Digital Topology in Brain Imaging. IEEE Signal Process. Mag. Dzung L. Pham, Pierre-Louis Bazin, Jerry L. Prince
2010	J	`jnl`	Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman
2010	—	`conf`	MR contrast synthesis for lesion segmentation. ISBI Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Jerry L. Prince
2010	J	`jnl`	The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman
2009	—	`conf`	Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients. ISBI Navid Shiee, Pierre-Louis Bazin, Daniel S. Reich, Dzung L. Pham
2009	—	`conf`	Belief Propagation Based Segmentation of White Matter Tracts in DTI. MICCAI (1) Pierre-Louis Bazin, John A. Bogovic, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
2009	—	`ed.`	Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings IPMI Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
2008	—	`conf`	Fuzzy c-means with variable compactness. ISBI Snehashis Roy, Harsh K. Agarwal, Aaron Carass, Ying Bai, Dzung L. Pham, Jerry L. Prince
2008	J	`jnl`	Homeomorphic brain image segmentation with topological and statistical atlases. Medical Image Anal. Pierre-Louis Bazin, Dzung L. Pham
2007	—	`conf`	Digital Homeomorphisms in Deformable Registration. IPMI Pierre-Louis Bazin, Lotta Maria Ellingsen, Dzung L. Pham
2007	—	`conf`	Statistical and Topological Atlas Based Brain Image Segmentation. MICCAI (1) Pierre-Louis Bazin, Dzung L. Pham
2007	J	`jnl`	Topology correction of segmented medical images using a fast marching algorithm. Comput. Methods Programs Biomed. Pierre-Louis Bazin, Dzung L. Pham
2007	J	`jnl`	Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images. IEEE Trans. Medical Imaging Pierre-Louis Bazin, Dzung L. Pham
2006	—	`conf`	Simultaneous registration and tissue classification using clustering algorithms. ISBI Dzung L. Pham, Pierre-Louis Bazin
2006	—	`conf`	TOADS: topology-preserving, anatomy-driven segmentation. ISBI Pierre-Louis Bazin, Dzung L. Pham
2005	B	`conf`	Free software tools for atlas-based volumetric neuroimage analysis. Image Processing Pierre-Louis Bazin, Dzung L. Pham, William Gandler, Matthew J. McAuliffe
2005	B	`conf`	Super-resolved multi-channel fuzzy segmentation of MR brain images. Image Processing Ying Bai, Xiao Han, Dzung L. Pham, Jerry L. Prince
2005	—	`conf`	Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation. MICCAI (2) Pierre-Louis Bazin, Dzung L. Pham
2005	—	`conf`	Topology Preserving Tissue Classification with Fast Marching and Topology Templates. IPMI Pierre-Louis Bazin, Dzung L. Pham
2004	J	`jnl`	CRUISE: Cortical reconstruction using implicit surface evolution. NeuroImage Xiao Han, Dzung L. Pham, Duygu Tosun, Maryam E. Rettmann, Chenyang Xu, Jerry L. Prince
2004	B	`conf`	Integrating Intensity and Boundary Information for Tissue Classification. CBMS Dzung L. Pham
2004	—	`conf`	Robust Unsupervised Tissue Classification in MR Images. ISBI Dzung L. Pham, Jerry L. Prince
2004	—	`conf`	Simultaneous Boundary and Partial Volume Estimation in Medical Images. MICCAI (1) Dzung L. Pham, Pierre-Louis Bazin
2004	—	`conf`	Topology Smoothing for Segmentation and Surface Reconstruction. MICCAI (1) Pierre-Louis Bazin, Dzung L. Pham
2003	B	`conf`	Automatic classification of sulcal regions of the human brain cortex using pattern recognition. Image Processing Kirsten Judith Behnke, Maryam E. Rettmann, Dzung L. Pham, Dinggang Shen, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince
2002	—	`conf`	Automatic segmentation of white matter lesions in T1-weighted brain MR images. ISBI Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos
2002	—	`conf`	Fuzzy clustering with spatial constraints. ICIP (2) Dzung L. Pham
2002	B	`conf`	New approaches for measuring changes in the cortical surface using an automatic reconstruction algorithm. Image Processing Dzung L. Pham, Xiao Han, Maryam E. Rettmann, Chenyang Xu, Duygu Tosun, Susan M. Resnick, Jerry L. Prince
2001	B	`conf`	Robust Fuzzy Segmentation of Magnetic Resonance Images. CBMS Dzung L. Pham
2001	J	`jnl`	Spatial Models for Fuzzy Clustering. Comput. Vis. Image Underst. Dzung L. Pham
2000	B	`conf`	Edge-Adaptive Clustering for Unsupervised Image Segmentation. ICIP Dzung L. Pham
2000	B	`conf`	Quantitative validation of a deformable cortical surface model. Image Processing Daphne N. Yu, Chenyang Xu, Maryam E. Rettmann, Dzung L. Pham, Jerry L. Prince
1999	J	`jnl`	Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Trans. Medical Imaging Dzung L. Pham, Jerry L. Prince
1999	—	`conf`	An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images. IPMI Dzung L. Pham, Jerry L. Prince
1999	J	`jnl`	An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit. Lett. Dzung L. Pham, Jerry L. Prince
1999	A	`conf`	Automated Segmentation of Sulcal Regions. MICCAI Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince
1999	J	`jnl`	Reconstruction of the Human Cerebral Cortex from Magnetic Resonance Images. IEEE Trans. Medical Imaging Chenyang Xu, Dzung L. Pham, Maryam E. Rettmann, Daphne N. Yu, Jerry L. Prince
1998	B	`conf`	Adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities. Image Processing Dzung L. Pham, Jerry L. Prince
1998	—	`conf`	Partial Volume Estimation and the Fuzzy C-means Algorithm. ICIP (3) Dzung L. Pham, Jerry L. Prince
1998	A	`conf`	Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images. MICCAI Chenyang Xu, Dzung L. Pham, Jerry L. Prince, Maryam E. Etemad, Daphne N. Yu
1997	J	`jnl`	An Automated Technique for Statistical Characterization of Brain Tissues in Magnetic Resonance Imaging. Int. J. Pattern Recognit. Artif. Intell. Dzung L. Pham, Jerry L. Prince, Chenyang Xu, Azar P. Dagher
1997	—	`conf`	Finding the Brain Cortex Using Fuzzy Segmentation, Isosurfaces, and Deformable Surface Models. IPMI Chenyang Xu, Dzung L. Pham, Jerry L. Prince