activity
20232026
most citedAdapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

What Makes High-Magnification Knowledge Transferable? A Study of Cross-Resolution Distillation in Whole-Slide Imaging

Zhiyuan Yang, Jiahao Cheng, Mahdi S. Hosseini

Cross-resolution knowledge distillation aims to improve low-magnification whole- slide analysis by transferring high-magnification representations, yet the conditions for useful tr…

cs.CV2026

Gated Spatial Redundancy Projection for Pathology Transformer Attentions

Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh +1

Transformer models are increasingly used for whole-slide image analysis in computational pathology. Yet, WSIs differ fundamentally from natural images: neighbouring patches often c…

cs.CV2026

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation

Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh +1

Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long visual-token sequences, and the c…

eess.IV2025

ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease

Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi +9

Computational pathology (CoPath) leverages histopathology images to enhance diagnostic precision and reproducibility in clinical pathology. However, publicly available datasets for…

cs.CV2023★ 4 cited

Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs

Fei He, Zhiyuan Yang, Mingyue Gao +6

Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with ma…