Research Projects

Epilepsy

Selected Publications

Le Trung Thanh, Nguyen Thi Anh Dao, Nguyen Viet Dung, Nguyen Linh Trung, and Karim Abed-Meraim. Multi-channel EEG epileptic spike detection by a new method of tensor decomposition. IOP Journal of Neural Engineering, 17(1):016023, January 2020.

Le Thanh Xuyen, Le Trung Thanh, Nguyen Linh Trung, Tran Thi Thuy Quynh, and Nguyen Duc Thuan. EEG source localization: A new multiway temporal-spatial-spectral analysis. In 2019 NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam, December 2019.

Nguyen Thi Anh-Dao, Le Trung Thanh, Nguyen Linh-Trung, and Ha Vu Le. Nonnegative tensor decomposition for EEG epileptic spike detection. NAFOSTED Conference on Information and Computer Science (NICS), pages 196–201, Hanoi, Vietnam, November 2018. [Best paper award].

Nguyen Thi Anh-Dao, Nguyen Linh-Trung, Nguyen Van-Ly, Tan Tran-Duc, Hoang-Anh The Nguyen, and Boualem Boashash. A multistage system for automatic detection of epileptic spikes. REV Journal on Electronics and Communications, 8(1–2):1–13, January–June 2018.

Le Thanh Xuyen, Le Trung Thanh, Dinh Van Viet, Tran Quoc Long, Nguyen Linh-Trung, and Nguyen Duc Thuan. Deep learning for epileptic spike detection. VNU Journal of Science: Computer Science and Communication Engineering, 33(2):1–13, December 2017.

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 […]