Le Quoc Anh

I am a Lecturer and PhD Student at the Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology (VNU-UET), Hanoi, Vietnam. My PhD thesis focuses on spectral analysis and federated learning for neurological disorders, supervised by Prof. Nguyen Linh Trung (VNU-UET) and Prof. Karim Abed-Meraim (Université d’Orléans).

I received my Master’s degree in Communication and Data Engineering from Paris-Saclay University in 2024, and my Bachelor’s degree in Electronics and Communication Engineering from VNU University of Engineering and Technology in 2020.

Research Interests

  • Medical Image Analysis: Image processing and deep learning for classification, detection, and segmentation to assist physicians in diagnosis.
  • Biomedical Signal Processing: Advanced signal processing methods for feature engineering from biomedical signals (EEG, radar-based vital signs) to improve disease detection.
  • Tensor Decomposition: Tensor decomposition approaches to uncover hidden features in high-dimensional biomedical data.

News

  • Apr 2026: Started an internship at PRISME Laboratory.
  • Aug 2025: Started PhD program at VNU University of Engineering and Technology in Communication Engineering.
  • Dec 2024: Presented the work “New approach for Alzheimer’s disease classification using topographic maps and deep learning model” at APSIPA ASC 2024, Macau, China.
  • Oct 2024: Journal paper “Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation” published in Medical Physics (2024).

Selected Publications

Le Quoc Anh et al. “Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation.” Medical Physics, 51(12):8882–8899, 2024.

See the full list on the Publications page.

Contact

  • Email: lqanh@vnu.edu.vn
  • Address: Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam