Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics
Yitong Li, Ralph Buchert, Benita Schmitz-Koep, Timo Grimmer, Björn Ommer, Dennis M. Hedderich*, Igor Yakushev*, Christian Wachinger*.
(* Equal Advising)
project page paper code

Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
Yitong Li, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger.
Medical Image Analysis (Impact factor: 11.8), 2026.
paper code

Cortex-Grounded Diffusion Models for Brain Image Generation
Fabian Bongratz*, Yitong Li*, Sama Elbaroudy, Christian Wachinger.
(* Equal Contribution)
paper code

MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis
Yitong Li*, Morteza Ghahremani*, Christian Wachinger.
(* Equal Contribution)
paper code

3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces
Fabian Bongratz*, Yitong Li*, Sama Elbaroudy, Christian Wachinger.
(* Equal Contribution)
Information Processing in Medical Imaging (IPMI), 2025.
paper code

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
Yitong Li, Morteza Ghahremani, Youssef Wally, Christian Wachinger.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
Oral presentation
paper code

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
Jiajun Wang*, Morteza Ghahremani*, Yitong Li*, Björn Ommer, Christian Wachinger.
(* Equal Contribution)
Conference on Neural Information Processing Systems (NeurIPS), 2024.
paper code

PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models
Yitong Li, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger.
International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), 2024.
Early Accept, top 11%
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From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
Yitong Li*, Tom Nuno Wolf*, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger.
(* Equal Contribution)
Medical Imaging with Deep Learning (MIDL), 2024.
Oral presentation
paper OpenReview code

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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Polarimetric Pose Prediction
Daoyi Gao*, Yitong Li*, Patrick Ruhkamp*, Iuliia Skobleva*, Magdalena Wysock*, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Nassir Navab, Benjamin Busam.
(* Equal Contribution)
European Conference on Computer Vision (ECCV), 2022.
paper code

CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
Matan Atad*, Vitalii Dmytrenko*, Yitong Li*, Xinyue Zhang*, Matthias Keicher, Jan Kirschke, Bene Wiestler, Ashkan Khakzar, Nassir Navab.
(* Equal Contribution)
ICML 2022 Interpretable Machine Learning in Healthcare Workshop (IMLH), 2022.
paper code

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
paper

Two-stream 2D/3D Residual Networks for Learning Robot Manipulations from Human Demonstration Videos
Xin Xu, Kun Qian, Bo Zhou, Shenghao Chen, Yitong Li.
IEEE International Conference on Robotics and Automation (ICRA), 2021.
paper