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Pengfei Rong
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Journal Articles
- 2024
- [j4]Yang Gao
, Zhuang Xiong
, Shanshan Shan, Yin Liu
, Pengfei Rong, Min Li
, Alan H. Wilman, G. Bruce Pike
, Feng Liu
, Hongfu Sun
:
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94: 103160 (2024) - 2023
- [j3]Lian Wang, Liangrui Pan
, Hetian Wang, Mingting Liu, Zhichao Feng, Pengfei Rong, Zuo Chen, Shaoliang Peng:
DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation. Biomed. Signal Process. Control. 85: 104976 (2023) - [j2]Ling-Li Zeng
, Kai Gao
, Dewen Hu
, Zhichao Feng
, Chenping Hou
, Pengfei Rong, Wei Wang:
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10427-10442 (2023) - 2021
- [j1]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:
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images. Medical Image Anal. 67: 101836 (2021)
Conference and Workshop Papers
- 2023
- [c1]Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng:
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. BIBM 2023: 904-909
Informal and Other Publications
- 2024
- [i2]Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao:
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR abs/2406.12300 (2024) - 2023
- [i1]Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng:
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data. CoRR abs/2307.04075 (2023)
Coauthor Index
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last updated on 2024-07-25 20:26 CEST by the dblp team
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