T. Le

An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph

Hieu Pham, M. Dao, L. Le, 2021, IEEE Access.

Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks pdf

T. T. Tran, H. H. Pham, T. V. Nguyen, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

Khiem H. Le, Hieu Pham, T. Tran, 2022, IEEE Access.

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels pdf

Hieu H. Pham, Tung T. Le, Dat T. Ngo, 2020, Neurocomputing.

Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network pdf

Nhan T. Nguyen, Tung T. Le, Hieu T. Nguyen, 2020, BrainLes@MICCAI.

Vision And Text Transformer For Predicting Answerability On Visual Question Answering

Minh Le Nguyen, Tung Le, Huy Tien Nguyen, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Multi visual and textual embedding on visual question answering for blind people

Tung Le, Huy Tien Nguyen, Minh Le Nguyen, 2021, Neurocomputing.

Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels

Dat Q. Tran, Hieu Pham, D. Ngo, 2019, ArXiv.