Prediction of brain tumor progression using multiple histogram matched MRI scans. - Debrup Banerjee; Loc Tran; Jiang Li 001; Yuzhong Shen; Frederic D. McKenzie; Jihong Wang (Computer-Aided Diagnosis, 2011)

A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. - Loc Tran; Debrup Banerjee; Xiaoyan Sun 004; Jihong Wang; Ashok J. Kumar; David Vinning; Frederic D. McKenzie; Yaohang Li; Jiang Li 001 (MLMI, 2011)

Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem - Loc Tran (CoRR, 2012)

Hypergraph and protein function prediction with gene expression data - Loc Tran (CoRR, 2012)

The Un-normalized Graph p-Laplacian Based Semi-supervised Learning Method and Protein Function Prediction Problem. - Loc Tran (KSE (1), 2013)

Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. - Loc Tran; Frederic D. McKenzie; Jihong Wang; Jiang Li 001 (MLMI, 2013)

High-dimensional MRI data analysis using a large-scale manifold learning approach. - Loc Tran; Debrup Banerjee; Jihong Wang; Ashok J. Kumar; Frederic D. McKenzie; Yaohang Li; Jiang Li 001 (Mach. Vis. Appl., 2013)

Robust Deep Learning for Improved Classification of AD/MCI Patients. - Feng Li 039; Loc Tran; Kim-Han Thung; Shuiwang Ji; Dinggang Shen; Jiang Li 001 (MLMI, 2014)

High Dimensional Data Set Analysis Using a Large-Scale Manifold Learning Approach. - Loc Tran (2014)

Adaptive graph construction for Isomap manifold learning. - Loc Tran; Zezhong Zheng; Guoqing Zhou 001; Jiang Li 001 (Image Processing: Algorithms and Systems, 2015)

A comparative study of two prediction models for brain tumor progression. - Deqi Zhou; Loc Tran; Jihong Wang; Jiang Li 001 (Image Processing: Algorithms and Systems, 2015)

A Robust Deep Model for Improved Classification of AD/MCI Patients. - Feng Li 039; Loc Tran; Kim-Han Thung; Shuiwang Ji; Dinggang Shen; Jiang Li 001 (IEEE J. Biomed. Health Informatics, 2015)

K-Segments Under Bagging approach: An experimental Study on Extremely Imbalanced Data Classification. - Tuan Tran; Loc Tran; An Mai (ISCIT, 2019)

Solve fraud detection problem by using graph based learning methods. - Loc Tran; Tuan Tran; Linh Tran; An Mai (CoRR, 2019)

To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. - Loc Tran; Linh Tran (CoRR, 2019)

Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. - Vy Bui; Li-Yueh Hsu; Sujata M. Shanbhag; Loc Tran; W. Patricia Bandettini; Lin-Ching Chang; Marcus Y. Chen (Comput. Biol. Medicine, 2020)

Noise-robust classification with hypergraph neural network. - Nguyen Trinh Vu Dang; Loc Tran; Linh Tran (CoRR, 2021)

A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph. - Thanh Le 001; Loc Tran; Bac Le (ACIIDS (Companion), 2022)

Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs. - Thanh Le 001; Chi Tran; Loc Tran; Bac Le (KSEM (1), 2022)

DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation. - Vy Bui; Li-Yueh Hsu; Lin-Ching Chang; An-Yu Sun; Loc Tran; Sujata M. Shanbhag; Wunan Zhou; Nehal N. Mehta; Marcus Y. Chen (Frontiers Artif. Intell., 2022)

Metacells untangle large and complex single-cell transcriptome networks. - Mariia Bilous; Loc Tran; Chiara Cianciaruso; Aurélie Gabriel; Hugo Michel; Santiago J. Carmona; Mikael J. Pittet; David Gfeller (BMC Bioinform., 2022)

Hypergraph based learning method: Embedding, Clustering, and Classification. (Méthode d'apprentissage basée sur l'hypergraphes: intégration, regroupement et classification). - Loc Tran (2023)

Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms. - Loc Tran; Bac Le; Thanh Le 001 (ESANN, 2024)