Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images. - Kai Gao 011; Jianpo Su; Zhongbiao Jiang; Ling-Li Zeng; Zhichao Feng; Hui Shen 004; Pengfei Rong; Xin Xu 001; Jian Qin; Yuexiang Yang; Wei Wang 434; Dewen Hu (Medical Image Anal., 2021)

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. - Liangrui Pan; Pinle Qin; Pengfei Rong; Xiangxiang Zeng; Dazheng Liu; Shaoliang Peng (BIBM, 2023)

Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data. - Liangrui Pan; Dazhen Liu; Yutao Dou; Lian Wang; Zhichao Feng; Pengfei Rong; Liwen Xu; Shaoliang Peng (CoRR, 2023)

DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation. - Lian Wang; Liangrui Pan; Hetian Wang; Mingting Liu; Zhichao Feng; Pengfei Rong; Zuo Chen; Shaoliang Peng (Biomed. Signal Process. Control., 2023)

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. - Ling-Li Zeng; Kai Gao 011; Dewen Hu; Zhichao Feng; Chenping Hou; Pengfei Rong; Wei Wang 434 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. - Min Li 007; Chen Chen; Zhuang Xiong; Ying Liu; Pengfei Rong; Shanshan Shan; Feng Liu 005; Hongfu Sun; Yang Gao 030 (CoRR, 2024)

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. - Yang Gao 030; Zhuang Xiong; Shanshan Shan; Yin Liu; Pengfei Rong; Min Li 007; Alan H. Wilman; G. Bruce Pike; Feng Liu 005; Hongfu Sun (Medical Image Anal., 2024)