Pengfei Rong

According to our database, Pengfei Rong authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.

Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun

Medical Image Anal., 2024

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules.

Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao

CoRR, 2024

2023

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation.

Ling-Li Zeng, Kai Gao, Dewen Hu, Zhichao Feng, Chenping Hou, Pengfei Rong, Wei Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 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., August, 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

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

Kai Gao, Jianpo Su, Zhongbiao Jiang, Ling-Li Zeng, Zhichao Feng, Hui Shen, Pengfei Rong, Xin Xu, Jian Qin, Yuexiang Yang, Wei Wang, Dewen Hu

Medical Image Anal., 2021