2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
SlideMix: Enhancing Whole Slide Image Analysis via Multimodal Shuffling
Chad Wong, Sicheng Chen, Tianyi Zhang +4
Histopathological whole slide images (WSIs) are central to cancer diagnosis, but their gigapixel scale, tissue heterogeneity, weak slide-level supervision, sparse diagnostic region…
EviPathBench: Benchmarking Evidence Acquisition and Reasoning in Vision-Language Models for Whole-Slide Pathology
Dankai Liao, Tianyi Zhang, Yufeng Wu +6
Whole-slide image (WSI) diagnosis requires identifying diagnostically relevant regions, examining them across magnifications, and integrating multi-scale evidence. However, most pa…
Enhancing Pathological VLMs with Cross-scale Reasoning
Chi Phan, Tianyi Zhang, Qiaochu Xue +5
Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at low magnification to cellular morphology at higher m…
PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis
Chi Phan, Tianyi Zhang, Yufeng Wu +7
Pathological diagnosis is inherently multi-scale, requiring the integration of global tissue architecture at low magnification with cellular morphology at higher magnification. How…
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
Zhitao Zeng, Guojian Yuan, Junyuan Mao +3
Accurate temporal prediction is the bridge between comprehensive scene understanding and embodied artificial intelligence. However, predicting multiple fine-grained states of a sce…