Author

Ruohua Shi

Peking UniversityORCID 0000-0003-2895-1716Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Organism:multiple species· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Liuyuan HeiD· 2 shared Wenyao WangiD· 2 shared Лей МаiD· 2 shared Guanchen Fang· 1 shared Kai DuiD· 1 shared Kaiwen ShengiD· 1 shared Tiejun HuangiD· 1 shared Tingting JiangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

Liuyuan HeORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioengineeringbioRxivPreprintApr 13, 2025

Unifying the Electron Microscopy Multiverse through a Large-scale Foundation Model

Liuyuan He, Ruohua Shi, Wenyao Wang…·Лей Ма

This paper introduces EM-DINO and OmniEM, a foundation model and architecture for EM image analysis, improving restoration and segmentation across diverse datasets.

5 citations

multiple specieselectronic health records

𝕏 PostBluesky

NeuroscienceFrontiers in Computational NeurosciencePeer-reviewedApr 11, 2022

U-RISC: An Ultra-high Resolution EM Dataset Challenging Existing Deep Learning Algorithms

Ruohua Shi, Wenyao Wang, Zhixuan Li…·Tiejun Huang

The paper introduces U-RISC, a high-resolution EM dataset for cell membrane segmentation, and evaluates deep learning methods, finding a gap between current performance and human-level accuracy.

2 citations

electronic health recordsdeep learning

𝕏 PostBluesky