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Dzung L. Pham
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Publications
- 2024
- [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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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 - [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
- [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 - 2018
- [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 - 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) - [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. Medical Imaging: 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 - [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) - [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. Medical Imaging: 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. Medical Imaging: 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 - [c40]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 - 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. Medical Imaging: 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 - [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. Medical Imaging: Image Processing 2013: 86690K - 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) - [c29]Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Jerry L. Prince:
MR contrast synthesis for lesion segmentation. ISBI 2010: 932-935 - 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
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last updated on 2024-04-21 18:26 CEST by the dblp team
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