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
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. @conference{Li2024diamond, |
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. @conference{Wang2024, |
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. @conference{Li2024pasta, |
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. @conference{Li2024, |
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