3 citations · 4 across the 2 of their papers we have counts for
4 papers
Histopathology-centered Computational Evolution of Spatial Omics: Integration, Mapping, and Foundation Models
Ninghui Hao, Xinxing Yang, Boshen Yan +7
Spatial omics (SO) technologies enable spatially resolved molecular profiling, while hematoxylin and eosin (H&E) imaging remains the gold standard for morphological assessment in c…
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
Minh-Hao Van, Prateek Verma, Chen Zhao +1
Foundation models (FMs) are catalyzing a transformative shift in materials science (MatSci) by enabling scalable, general-purpose, and multimodal AI systems for scientific discover…
Multi-Modal Foundation Models for Computational Pathology: A Survey
Dong Li, Guihong Wan, Xintao Wu +7
Foundation models have emerged as a powerful paradigm in computational pathology (CPath), enabling scalable and generalizable analysis of histopathological images. While early deve…
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
Dong Li, Guihong Wan, Xintao Wu +6
Computational pathology foundation models (CPathFMs) have emerged as a powerful approach for analyzing histopathological data, leveraging self-supervised learning to extract robust…