Author

Tzu‐Ching Shih

China Medical UniversityORCID 0000-0002-0197-3782Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioengineering· 1 Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:contrastive learning· 1 Assay:imaging· 1

Frequent Co-Authors

Bingyuan BaiiD· 2 shared Kazunori MiyataiD· 2 shared Xiajie ZhouiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 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

Bingyuan BaiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioengineeringbioRxivPreprintOct 14, 2026

Deep learning-based prediction of wall shear stress throughout the cardiac cycle in middle cerebral artery bifurcation aneurysms

Bingyuan Bai, Xiajie Zhou, Kazunori Miyata, Tzu‐Ching Shih

This paper develops a deep learning framework called STEP to predict cardiac-cycle wall shear stress in aneurysms using pre-trained steady-flow models and transient fine-tuning.

DOI 10.64898/2026.10.12.758700

deep learningbenchmarking

PathologyIEEE AccessPeer-reviewedJan 1, 2026

HistoSB-Net: Semantic Bridging for Data-Limited Cross-Modal Histopathological Diagnosis

Bingyuan Bai, Tzu‐Ching Shih, Kazunori Miyata

HistoSB-Net adapts pre-trained vision-language models for histopathological diagnosis with limited data, improving performance through semantic bridging.

DOI 10.1109/access.2026.3704652

imagingdeep learning