Edge and neighborhood guidance network for 2D medical image segmentation. - Weiwei Cao; Jian Zheng 001; Dehui Xiang; Saisai Ding; Haotian Sun; Xiaodong Yang 005; Zhaobang Liu; Yakang Dai (Biomed. Signal Process. Control., 2021)

High-resolution dermoscopy image synthesis with conditional generative adversarial networks. - Saisai Ding; Jian Zheng 001; Zhaobang Liu; Yanyan Zheng; Yanmei Chen; Xiaomin Xu; Jia Lu; Jing Xie (Biomed. Signal Process. Control., 2021)

Deep attention branch networks for skin lesion classification. - Saisai Ding; Zhongyi Wu; Yanyan Zheng; Zhaobang Liu; Xiaodong Yang; Xiaokai Yang; Gang Yuan; Jing Xie (Comput. Methods Programs Biomed., 2021)

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. - Jun Shi 004; Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Jun Wang 024; Shihui Ying (CoRR, 2022)

The asymptotic distribution of CUSUM estimator based on α-mixing sequences. - Min Gao; Saisai Ding; Shipeng Wu; Wenzhi Yang (Commun. Stat. Simul. Comput., 2022)

Multi-scale Prototypical Transformer for Whole Slide Image Classification. - Saisai Ding; Jun Wang 024; Juncheng Li 013; Jun Shi 004 (MICCAI (6), 2023)

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 013; Jun Wang 024; Shihui Ying; Jun Shi 004 (CoRR, 2023)

Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images. - Saisai Ding; Zhiyang Gao; Jun Wang 024; Minhua Lu; Jun Shi 004 (Expert Syst. Appl., 2023)

Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. - Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction. - Saisai Ding; Linjin Li; Ge Jin 002; Jun Wang 024; Shihui Ying; Jun Shi 004 (Medical Image Anal., 2025)

Reconstruction and Prediction of Volterra Integral Equations Driven by Gaussian Noise. - Zhihao Xu; Saisai Ding; Zhikun Zhang; Xiangjun Wang (CoRR, 2025)

Dual-masked contrastive learning based hypergraph foundation model for whole slide images. - Xueying Zhou; Saisai Ding; Wenhua Zhang; Juncheng Li 013; Jun Wang 024; Jiasheng Chen; Jun Shi 004 (Pattern Recognit., 2026)