Ruining Deng

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Ruining Deng, Can Cui, Quan Liu et al. · arXiv (Cornell University) · 2023 · 97 citations · Full text

Computing, Biomedical Engineering, Pathology +14

Cross-scale multi-instance learning for pathological image diagnosis

Ruining Deng, Can Cui, Lucas W. Remedios et al. · Medical Image Analysis · 2024 · 82 citations · Full text

Computing, Computer Science, Pathology +15

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Ruining Deng, Can Cui, Quan Liu et al. · Electronic Imaging · 2025 · 46 citations · Full text

Computing, Biomedical Engineering, Pathology +14

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation

Haichun Yang, Ruining Deng, Yuzhe Lu et al. · Lecture notes in computer science · 2020 · 42 citations · Full text

Computing, Computer Science, Nephrology +8

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning

Can Cui, Ruining Deng, Quan Liu et al. · Journal of Physics Conference Series · 2024 · 40 citations · Full text

Computing, Computer Science, Artificial Intelligence +9