A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification. - Rui Yan 009; Fei Ren; Zihao Wang; Lihua Wang; Yubo Ren; Yudong Liu; Xiaosong Rao; Chunhou Zheng 001; Fa Zhang 001 (BIBM, 2018)

Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. - Hong Zhang; Fa Zhang 001; Fei Ren; Zhonglie Wang; Xiaosong Rao; Li Li; Junbo Hao; Rui Yan 009; Jiancheng Luo; Ming Du (BIBM, 2019)

Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method. - Rui Yan 009; Fei Ren; Xiaosong Rao; Baorong Shi; Tiange Xiang; Lingling Zhang; Yudong Liu; Jun Liang; Chunhou Zheng 001; Fa Zhang 001 (ICIC (1), 2019)

NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. - Rui Yan 009; Jintao Li 001; Xiaosong Rao; Zhilong Lv; Chunhou Zheng 001; Jinjin Dou; Xiaowen Wang; Fei Ren; Fa Zhang 001 (BIBM, 2020)

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. - Rui Yan 009; Jintao Li 001; S. Kevin Zhou; Zhilong Lv; Xueyuan Zhang; Xiaosong Rao; Chunhou Zheng 001; Fei Ren; Fa Zhang 001 (ICIC (3), 2021)

Richer fusion network for breast cancer classification based on multimodal data. - Rui Yan 009; Fa Zhang 001; Xiaosong Rao; Zhilong Lv; Jintao Li 001; Lingling Zhang; Shuang Liang; Yilin Li; Fei Ren; Chunhou Zheng 001; Jun Liang (BMC Medical Informatics Decis. Mak., 2021)

Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images. - Rui Yan 009; Fei Ren; Jintao Li 001; Xiaosong Rao; Zhilong Lv; Chunhou Zheng 001; Fa Zhang 001 (Sensors, 2022)