publications

Peer-reviewed publications in reversed chronological order.

2024

  1. CVPR
    Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning
    Thanh-Tung Le, Khai Nguyen, Shanlin Sun, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  2. WACV
    AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation
    Xiangyi Yan, Shanlin Sun, Kun Han, and 4 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
  3. WACV
    Hybrid neural diffeomorphic flow for shape representation and generation via triplane
    Kun Han, Shanlin Sun, Thanh-Tung Le, and 4 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

  1. IEEE-Access
    Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
    Khiem H Le, Tuan V Tran, Hieu H Pham, and 3 more authors
    IEEE Access, 2023
  2. ICLR
    Diffeomorphic mesh deformation via efficient optimal transport for cortical surface reconstruction
    Thanh-Tung Le, Khai Nguyen, Shanlin Sun, and 3 more authors
    The Twelfth International Conference on Learning Representations, 2023
  3. BMVC
    Hybrid-csr: Coupling explicit and implicit shape representation for cortical surface reconstruction
    Shanlin Sun, Thanh-Tung Le, Chenyu You, and 6 more authors
    arXiv preprint arXiv:2307.12299, 2023

2021

  1. Neurocomputing
    Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
    Hieu H Pham, Thanh-Tung Le, Dat Q Tran, and 2 more authors
    Neurocomputing, 2021
  2. MIDL
    VinDr-RibCXR: A benchmark dataset for automatic segmentation and labeling of individual ribs on chest X-rays
    Hoang C Nguyen, Thanh-Tung Le, Hieu H Pham, and 1 more author
    arXiv preprint arXiv:2107.01327, 2021
  3. ICCV-W
    Learning to automatically diagnose multiple diseases in pediatric chest radiographs using deep convolutional neural networks
    Thanh T Tran, Hieu H Pham, Thang V Nguyen, and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop, 2021

2020

  1. MICCAI-W
    Enhancing MRI brain tumor segmentation with an additional classification network
    Hieu T Nguyen, Thanh-Tung Le, Thang V Nguyen, and 1 more author
    In International MICCAI Brainlesion Workshop, 2020