Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (MMMI@MICCAI, 2022)

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2022)

An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level. - Haoju Leng; Ruining Deng; Zuhayr Asad; R. Michael Womick; Haichun Yang; Lipeng Wan; Yuankai Huo (Digital and Computational Pathology, 2023)

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (IEEE Trans. Biomed. Eng., 2023)

Cross-scale multi-instance learning for pathological image diagnosis. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (Medical Image Anal., 2024)