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20212026
most citedVision Foundation Models in Remote Sensing: A Survey

7 citations · 10 across the 27 of their papers we have counts for

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Showing 2025 · cs.CVShow all

7 papers · 2 filters

cs.CV2025

HistoWAS: A Pathomics Framework for Large-Scale Feature-Wide Association Studies of Tissue Topology and Patient Outcomes

Yuechen Yang, Junlin Guo, Yanfan Zhu +10

High-throughput "pathomic" analysis of Whole Slide Images (WSIs) offers new opportunities to study tissue characteristics and for biomarker discovery. However, the clinical relevan…

cs.CV2025

Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning

Junchao Zhu, Ruining Deng, Junlin Guo +10

Recent advances in multi-modal AI have demonstrated promising potential for generating the currently expensive spatial transcriptomics (ST) data directly from routine histology ima…

cs.CV2025

ZeroReg3D: A Zero-shot Registration Pipeline for 3D Consecutive Histopathology Image Reconstruction

Juming Xiong, Ruining Deng, Jialin Yue +10

Histological analysis plays a crucial role in understanding tissue structure and pathology. While recent advancements in registration methods have improved 2D histological analysis…

cs.CV2025

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes

Junlin Guo, James R. Zimmer-Dauphinee, Jordan M. Nieusma +16

By mapping sites at large scales using remotely sensed data, archaeologists can generate unique insights into long-term demographic trends, inter-regional social networks, and past…

cs.CV2025

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation

Ruining Deng, Yihe Yang, David J. Pisapia +15

Multi-class cell segmentation in high-resolution gigapixel whole slide images (WSIs) is crucial for various clinical applications. However, training such models typically requires…

cs.CV2025

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics

Junchao Zhu, Ruining Deng, Tianyuan Yao +12

The rapid development of spatial transcriptomics (ST) offers new opportunities to explore the gene expression patterns within the spatial microenvironment. Current research integra…

cs.CV2025

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Ruining Deng, Tianyuan Yao, Yucheng Tang +44

Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard f…