Nan DING
I obtained my PhD in signal and image processing from Sorbonne University in 2024. My thesis focused on the 3D reconstruction of the lamina cribrosa in OCT images, in collaboration with the Quinze-Vingts Hospital (XV-XX).
I then joined Isep in September 2024 as a lecturer and researcher specializing in data processing and artificial intelligence. My research mainly focuses on deep learning applied to medical imaging, with a particular interest in segmentation, 3D reconstruction, and AI-assisted biomedical analysis.
Search interests:
- Medical Image Processing
- Deep Learning for Medical Imaging
- Medical Image Analysis for Diagnosis Support and Modeling
- Multimodal Data Fusion
Teaching:
- Signal Processing (PBL – Project-Based Learning)
- Introduction to Artificial Intelligence
- Computer Vision
Journals:
- Ding, Nan, et al. "A Complete Method for the 3D Reconstruction of Axonal Pathways from 2 Orthogonal 3D OCT Images of the Lamina Cribrosa." ICASSP 2024.
- Ding, Nan, et al. "3d orthogonal sd-oct volumes registration for the enhancement of pores in lamina cribrosa." ISBI 2023.
- Ding, Nan, et al. "Context-aware attention u-net for the segmentation of pores in lamina cribrosa using partial points annotation." ICMLA 2022.
Useful links
