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 · 96 citations · Full text

Whole Slide Imaging, Medical Image Segmentation, Engineering +23

Cross-scale multi-instance learning for pathological image diagnosis

Ruining Deng, Can Cui, Lucas W. Remedios et al. · Medical Image Analysis · 2024 · 64 citations · Full text

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

Image Analysis, Machine Vision, Feature Detection +7

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Cam Nguyen, Zuhayr Asad, Ruining Deng et al. · Medical Imaging 2022: Image Processing · 2022 · 35 citations

Convolutional Neural Network, Stain Normalization, Medical Image Segmentation +24

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 · 35 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +26