Cancer Metastasis Detection Through Multiple Spatial Context Network. - Wutong Zhang; Chuang Zhu; Jun Liu 014; Ying Wang 043; Mulan Jin (ICCPR, 2019)

Breast cancer histopathology image classification through assembling multiple compact CNNs. - Chuang Zhu; Fangzhou Song; Ying Wang 043; Huihui Dong; Yao Guo 004; Jun Liu 014 (BMC Medical Informatics Decis. Mak., 2019)

Pathological Image Classification Based on Hard Example Guided CNN. - Ying Wang 043; Ting Peng; Jiajia Duan; Chuang Zhu; Jun Liu 014; Jiandong Ye; Mulan Jin (IEEE Access, 2020)

PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis. - Zhilong Lv; Yuexiao Lin; Rui Yan 009; Zhenghe Yang; Ying Wang 043; Fa Zhang 001 (BIBM, 2021)

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. - Feng Xu; Chuang Zhu; Wenqi Tang; Ying Wang 043; Yu Zhang; Jie Li; Hongchuan Jiang; Zhongyue Shi; Jun Liu 014; Mulan Jin (CoRR, 2021)

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. - Chuang Zhu; Ke Mei; Ting Peng; Yihao Luo; Jun Liu 014; Ying Wang 043; Mulan Jin (Neurocomputing, 2021)

Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer. - Zhilong Lv; Rui Yan 009; Yuexiao Lin; Ying Wang 043; Fa Zhang 001 (MICCAI (2), 2022)

Hard Sample Aware Noise Robust Learning for Histopathology Image Classification. - Chuang Zhu; Wenkai Chen; Ting Peng; Ying Wang 043; Mulan Jin (IEEE Trans. Medical Imaging, 2022)

TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer. - Zhilong Lv; Yuexiao Lin; Rui Yan 009; Ying Wang 043; Fa Zhang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer. - Zhilong Lv; Rui Yan 009; Yuexiao Lin; Lin Gao; Fa Zhang 001; Ying Wang 043 (Big Data Min. Anal., 2024)