Publications

Selected Publication

These works provide an overview of my research in the medical domain by utilizing machine learning and deep learning algorithms.

Duy M. H. Nguyen, Hoang Nguyen, Truong N. T. Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, “Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering”, 37th AAAI Conference on Artificial Intelligence (AAAI) 2023 Full text available at Link .
Ha, T.V., Hoang Nguyen, Huynh, S.T., Nguyen, T.T., Nguyen, B.T., “Fall Detection Using Multimodal Data”, 28th International Conference on Multimedia Modeling (MMM) 2022. Full text available at Link
Thao V. Ha, Hoang M. Nguyen, Son T. Huynh, Binh T Nguyen, “Fall Detection Using Mixtures of Convolutional Neural Networks”, Proceedings of Multimedia Tools and Applications (MTAP) 2023.
Khanh Quoc Tran, An Tran-Hoai Le, An Trong Nguyen, Tung Tran Nguyen Doan, Son Huynh Thanh, Bao L. Hoang, Hoang Nguyen,… Trung T. Nguyen, “SEND: A simple and efficient noise detection algorithm for Vietnamese real estate posts,” 36th Annual Meeting of Pacific Asia Conference on Language, Information and Computation (PACLIC) 2022. Full text available at Link

Duy M. H. Nguyen, Hoang Nguyen, Nghiem T. Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert, “LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching”. Full text available at ArXiv .