Tung T. Le

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Convolutional Neural Networks

Digital X Ray Images

Chest Radiographs

Top Venues

BrainLes@MICCAI (1)

Publications

Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. IEEE Access 11 (2023)
Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. CoRR (2022)
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. ICCVW (2021)
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels. Neurocomputing 437 (2021)
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. CoRR (2021)
Hoang C. Nguyen, Tung T. Le, Hieu H. Pham, Ha Q. Nguyen
VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays. CoRR (2021)
Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network. CoRR (2020)
Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network. BrainLes@MICCAI (1) (2020)
Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels. CoRR (2020)
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels. CoRR (2019)