activity
20202025
most citedSegment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

97 citations · 140 across the 35 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology

Zhenhao Guo, Rachit Saluja, Tianyuan Yao +14

Fine-grained glomerular subtyping is essential for kidney biopsy interpretation, yet it presents a harder setting than the broad organ- or disease-level recognition tasks commonly…

cs.CV2025

Glo-VLMs: Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus Classification

Zhenhao Guo, Rachit Saluja, Tianyuan Yao +8

Vision-language models (VLMs) have shown considerable potential in digital pathology, yet their effectiveness remains limited for fine-grained, disease-specific classification task…

cs.CV2025

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model

Xueyuan Li, Can Cui, Ruining Deng +7

Purpose: Recent developments in computational pathology have been driven by advances in Vision Foundation Models, particularly the Segment Anything Model (SAM). This model facilita…

eess.IV2025

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology

Can Cui, Xindong Zheng, Ruining Deng +8

Anomaly detection has been widely studied in the context of industrial defect inspection, with numerous methods developed to tackle a range of challenges. In digital pathology, ano…

cs.CV2025

Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization

Ho Hin Lee, Quan Liu, Shunxing Bao +2

Large kernel convolutions offer a scalable alternative to vision transformers for high-resolution 3D volumetric analysis, yet naively increasing kernel size often leads to optimiza…

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…

eess.IV2025

Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis

Juming Xiong, Hou Xiong, Quan Liu +4

Eosinophilic esophagitis (EoE) is a chronic esophageal disorder marked by eosinophil-dominated inflammation. Diagnosing EoE usually involves endoscopic inspection of the esophageal…