Tianyuan Yao

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

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

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 · 35 citations · Full text

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation

Ruining Deng, Quan Liu, Can Cui et al. · IEEE Transactions on Biomedical Engineering · 2023 · 34 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +24

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning

Mengyang Zhao, Quan Liu, Aadarsh Jha et al. · arXiv (Cornell University) · 2021 · 17 citations · Full text