| 2023 | MICCAI | Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. | Samuel W. Remedios, Shuo Han, Lianrui Zuo, Aaron Carass, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey |
| 2022 | MICCAI | Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. | Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince |
| 2022 | MICCAI | Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. | 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 |
| 2021 | MICCAI | Joint Image and Label Self-super-Resolution. | Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass |
| 2020 | MICCAI | Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. | Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy |
| 2020 | MICCAI | Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. | Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham |
| 2020 | MICCAI | AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. | Syed M. S. Reza, John A. Butman, Deric M. Park, Dzung L. Pham, Snehashis Roy |
| 2018 | MICCAI | A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. | 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 |
| 2017 | MICCAI | Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. | Aaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen |
| 2017 | MICCAI | Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. | Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Ipek Oguz |
| 2017 | MICCAI | Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. | Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince |
| 2017 | MICCAI | Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. | Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince |
| 2017 | MICCAI | Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. | Snehashis Roy, John A. Butman, Dzung L. Pham |
| 2016 | MICCAI | Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. | Snehashis Roy, Yi-Yu Chou, Amod Jog, John A. Butman, Dzung L. Pham |
| 2016 | MICCAI | Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images. | Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen L. Stone, Jerry L. Prince |
| 2015 | MICCAI | Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions. | Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham |
| 2014 | MICCAI | Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation. | Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham |
| 2009 | MICCAI | Belief Propagation Based Segmentation of White Matter Tracts in DTI. | Pierre-Louis Bazin, John A. Bogovic, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham |
| 2007 | MICCAI | Statistical and Topological Atlas Based Brain Image Segmentation. | Pierre-Louis Bazin, Dzung L. Pham |
| 2005 | MICCAI | Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation. | Pierre-Louis Bazin, Dzung L. Pham |
| 2004 | CBMS | Integrating Intensity and Boundary Information for Tissue Classification. | Dzung L. Pham |
| 2004 | MICCAI | Topology Smoothing for Segmentation and Surface Reconstruction. | Pierre-Louis Bazin, Dzung L. Pham |
| 2004 | MICCAI | Simultaneous Boundary and Partial Volume Estimation in Medical Images. | Dzung L. Pham, Pierre-Louis Bazin |
| 2002 | ICIP | Fuzzy clustering with spatial constraints. | Dzung L. Pham |
| 2001 | CBMS | Robust Fuzzy Segmentation of Magnetic Resonance Images. | Dzung L. Pham |
| 2000 | ICIP | Edge-Adaptive Clustering for Unsupervised Image Segmentation. | Dzung L. Pham |
| 1999 | MICCAI | Automated Segmentation of Sulcal Regions. | Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince |
| 1998 | ICIP | Partial Volume Estimation and the Fuzzy C-means Algorithm. | Dzung L. Pham, Jerry L. Prince |
| 1998 | MICCAI | Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images. | Chenyang Xu, Dzung L. Pham, Jerry L. Prince, Maryam E. Etemad, Daphne N. Yu |