Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN. - De Cai; Xianhe Sun; Niyun Zhou; Xiao Han 011; Jianhua Yao 001 (ISBI, 2019)

Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images. - Niyun Zhou; De Cai; Xiao Han 011; Jianhua Yao 001 (MICCAI (1), 2019)

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. - Yu Zhao 009; Fan Yang 081; Yuqi Fang; Hailing Liu; Niyun Zhou; Jun Zhang 018; Jiarui Sun; Sen Yang 006; Bjoern H. Menze; Xinjuan Fan; Jianhua Yao 001 (CVPR, 2020)

PiPo-Net: A Semi-automatic and Polygon-based Annotation Method for Pathological Images. - Yuqi Fang; Delong Zhu; Niyun Zhou; Li Liu 017; Jianhua Yao 001 (IROS, 2021)

NoiseFlow: Learning Optical Flow from Low SNR Cryo-EM Movie. - Xiaoya Chong; Niyun Zhou; Qing Li 001; Howard Leung (ICPR, 2022)

Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement. - Xiaoya Chong; Howard Leung; Qing Li 001; Jianhua Yao 001; Niyun Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)