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Loc Tran
Publications
- 2015
- [j2]Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE J. Biomed. Health Informatics 19(5): 1610-1616 (2015) - [c7]Deqi Zhou, Loc Tran, Jihong Wang, Jiang Li:
A comparative study of two prediction models for brain tumor progression. Image Processing: Algorithms and Systems 2015: 93990W - [c6]Loc Tran, Zezhong Zheng, Guoqing Zhou, Jiang Li:
Adaptive graph construction for Isomap manifold learning. Image Processing: Algorithms and Systems 2015: 939904 - 2014
- [c5]Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
Robust Deep Learning for Improved Classification of AD/MCI Patients. MLMI 2014: 240-247 - 2013
- [j1]Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J. Kumar, Frederic D. McKenzie, Yaohang Li, Jiang Li:
High-dimensional MRI data analysis using a large-scale manifold learning approach. Mach. Vis. Appl. 24(5): 995-1014 (2013) - [c3]Loc Tran, Frederic D. McKenzie, Jihong Wang, Jiang Li:
Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. MLMI 2013: 219-226 - 2011
- [c2]Debrup Banerjee, Loc Tran, Jiang Li, Yuzhong Shen, Frederic D. McKenzie, Jihong Wang:
Prediction of brain tumor progression using multiple histogram matched MRI scans. Medical Imaging: Computer-Aided Diagnosis 2011: 79632U - [c1]Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li:
A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. MLMI 2011: 265-272
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