Research Projects

Generative AI in Medicine

Selected Publications

Trinh Ngoc Huynh, Nguyen Duc Kien, Nguyen Hai Anh, Dinh Tran Hiep, Manuela Vaneckova, Tomáš Uher, Jeroen Van Schependom, Stijn Denissen, Tran Quoc Long, Nguyen Linh Trung, and Guy Nagels. Latent representation learning from 3D brain MRI for interpretable prediction in multiple sclerosis. Machine Vision and Applications, September 2025. [under review]

Dam Thai Ninh, Nguyen Duc Kien, Dinh Tran Hiep, Bui Duc Manh Miguel D’Haeseleer, Jeroen Van Schependom, Tran Quoc Long, Nguyen Linh Trung, and Guy Nagels. The privacy–utility trade-off in brain MRI synthesis: A comparative framework for generative models. In 14th International Symposium on Information and Communication Technology (SOICT), Nha Trang, Vietnam, 12–14 December 2025.

SAME CATEGORY

Signal Processing for Machine Learning

Machine learning for signal processing

Tensor Decomposition for Medicine

Tensor decomposition (TD) is a powerful mathematical framework for analyzing high-dimensional and multi-way data, such as medical images, biomedical signals, and clinical measurements. Unlike conventional matrix-based methods, TD represents a tensor as a combination of lower-dimensional factor matrices or core tensors, enabling the extraction of latent structures while preserving the intrinsic multi-dimensional relationships within the […]