Yitong Li

I am a PhD student at AI-Med. My research focuses on developing novel machine learning algorithms for medical image analysis, encompassing areas of generative models, self-supervised learning, and multi-modal learning. Previously, I completed my master’s degree in Biomedical Computing at TUM.

E-mail: yi_tong.li@tum.de

Profiles: LinkedIn; GitHub

 

 

 

 

Research interests:

  • Medical Image Analysis
  • Generative Models
  • Multi-modal Learning
  • Unsupervised / Self-supervised Learning

Publications:

Li, Yitong; Ghahremani, Morteza; Wally, Youssef; Wachinger, Christian

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET Conference

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

Links | BibTeX

Wang, Jiajun; Ghahremani, Morteza; Li, Yitong; Ommer, Björn; Wachinger., Christian

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation Conference

Conference on Neural Information Processing Systems (NeurIPS), 2024.

Links | BibTeX

Li, Yitong; Yakushev, Igor; Hedderich, Dennis M.; Wachinger, Christian

PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models Conference

International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), 2024.

Links | BibTeX

Li, Yitong; Wolf, Tom Nuno; Pölsterl, Sebastian; Yakushev, Igor; Hedderich, Dennis M.; Wachinger, Christian

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data Conference

Medical Imaging with Deep Learning (MIDL), 2024.

Links | BibTeX