I am currently a postdoctoral researcher at the Max Planck Institute for Brain Research in Germany, supervised by Prof. Moritz Helmstaedter. Previously, I obtained my Ph.D. from the School of Computer Science, Peking University, under the supervision of Assoc. Prof. Tingting Jiang and Prof. Lingyu Duan, and received my M.S. degree from the School of Mathematical Sciences, Peking University in 2021, supervised by Prof. Ming Jiang and Assoc. Prof. Tingting Jiang. I obtained my B.S. degree from the School of Mathematics and Statistics, Xidian University in 2018.
My research interest includes computer vision and deep learning, especially in the fields of biological and medical image segmentation, 3D reconstruction of connectomics.
🔥 News
- 2025.07: 🎉🎉 One paper is accepted by ECAI 2025.
- 2025.06: 🎉🎉 One paper is accepted by MICCAI 2025.
📝 AI for Connectomics
A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation
Muge Qi, Ruohua Shi, Yu Cai, Liuyuan He, Wenyao Wang, Lei Ma
INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2025
Unifying the Electron Microscopy Multiverse through a Large-scale Foundation Model
Liuyuan He*, Ruohua Shi*, Wenyao Wang*, Yu Cai, Lei Ma
bioRxiv, 2025
Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, Tiejun Huang, Tingting Jiang
INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2024
Evidential Uncertainty-guided Mitochondria Segmentation for 3D EM Images
Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang
Association for the Advancement of Artificial Intelligence (AAAI), 2024
PS-Net: Human perception-guided segmentation network for EM cell membrane
Ruohua Shi, Keyan Bi, Kai Du, Lei Ma, Fang Fang, Lingyu Duan, Tingting Jiang, Tiejun Huang
Bioinformatics, 2023
A survey of image processing tools for microscale connectomics
Wenyao Wang, Ruohua Shi, Mingyang Zhao, Yuchen Zhou, Jinsheng Shi, Lei Ma
Journal of Chinese Electron Microscopy Society, 2023, Issue 2, Page 252-274
Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang
Frontiers in Computational Neuroscience, 2022
📝 AI for Surgery
Amodal Segmentation for Laparoscopic Surgery Video Instruments
Ruohua Shi, Zhaochen Liu, Lingyu Duan, Tingting Jiang
Journal Sensing and Imaging – The International Conference on Sensing and Imaging (ICSI), 2024 (Best Paper)
📝 General AI
TopSUMseg: A Topology-Aware Swin Transformer-Mamba Framework for 3D Seismic Fault Image Segmentation
Ran Chen, Jingyang Deng, Zeren Zhang, Ruohua Shi and Jinwen Ma
ECAI, 2025
Shenghao Xie, Wenqiang Zu, Mingyang Zhao, Duo Su, Shilong Liu, Ruohua Shi, Guoqi Li, Shanghang Zhang, Lei Ma
arXiv, 2024
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation
Zhixuan Li, Ruohua Shi,, Tiejun Huang, Tingting Jiang
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
🎖 Honors and Awards
- 2024.10 Leo KoGuan Scholarship, Peking University. 5%
- 2023.12 Annual Top Ten Student Excellence Award, NELVT, School of Computer Science, Peking University. 5%
- 2023.10 Merit Student, Peking University. 5%
- 2023.10 Jiu Kun Scholarship, Peking University. 5%
- 2021.06 Outstanding Graduates, Peking University. 2%
- 2020.10 Merit Student, Peking University. 5%
- 2020.10 2nd Prize of Robust Endoscopic Vision Challenge 2019 (ROBUST-MIS)
- 2019.10 Excellent Student Cadre, Peking University. 5%
- 2018.06 Top Ten Outstanding Graduates, Xidian University. 0.1%
📖 Educations
- 2021.09 - 2024.01 (now), Phd student, School of Computer Science, Peking University
- 2018.09 - 2021.06, M.S. degree from School of Mathematical Sciences, Peking University
- 2014.09 - 2018.06, B.S. degree from School of Mathematics and Statistics, Xidian University
💻 Internships
- 2020.02 - 2023.10, BAAI, China.