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Journal Articles
- 2024
- [j23]Chongzhe Yan
, Feng Liu, Yunsong Peng
, Yuanshen Zhao
, Junjie He
, Rongpin Wang
:
3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC. Biomed. Signal Process. Control. 90: 105883 (2024) - [j22]Junjie He
, Mudan Zhang, Wuchao Li, Yunsong Peng
, Bangkang Fu
, Chen Liu, Jian Wang, Rongpin Wang
:
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. Comput. Biol. Medicine 169: 107866 (2024) - [j21]Bangkang Fu
, Yunsong Peng
, Junjie He
, Chong Tian, Xinhuan Sun, Rongpin Wang
:
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation. Comput. Biol. Medicine 170: 108013 (2024) - [j20]Feng Liu, Yuanshen Zhao, Chongzhe Yan, Jingxian Duan, Lei Tang, Bo Gao, Rongpin Wang
:
Identifying pathological groups from MRI in prostate cancer using graph representation learning. Displays 83: 102699 (2024) - [j19]Feng Liu, Yuanshen Zhao, Jukun Song, Guilan Tu, Yadong Liu, Yunsong Peng, Jiahui Mao, Chongzhe Yan, Rongpin Wang
:
A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI. Displays 83: 102703 (2024) - [j18]Qian Zhang, Yunsong Peng, Siyi Lei, Tingting Xiong, Liulu Zhang, Hong Peng, Xinhua Luo, Rongpin Wang
:
A nutrition-based radiomics-clinical model to predict the prognosis of patients with acute-on-chronic liver failure. Displays 84: 102750 (2024) - 2023
- [j17]Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang, Chen Liu:
A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. BMC Medical Imaging 23(1): 181 (2023) - [j16]Qijian Chen
, Lihui Wang, Zhiyang Xing, Li Wang, Xubin Hu, Rongpin Wang
, Yue-Min Zhu
:
Deep wavelet scattering orthogonal fusion network for glioma IDH mutation status prediction. Comput. Biol. Medicine 166: 107493 (2023) - [j15]Xinhuan Sun, Wuchao Li, Bangkang Fu
, Yunsong Peng
, Junjie He
, Lihui Wang, Tongyin Yang, Xue Meng, Jin Li, Jinjing Wang, Ping Huang, Rongpin Wang
:
TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma. Comput. Methods Programs Biomed. 242: 107789 (2023) - [j14]Junjie He
, Yunsong Peng
, Bangkang Fu, Yuemin Zhu, Lihui Wang, Rongpin Wang
:
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping. NeuroImage 275: 120181 (2023) - [j13]Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li
, Zaiyi Liu, Dinggang Shen:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - 2022
- [j12]Bangkang Fu
, Mudan Zhang, Junjie He
, Ying Cao, Yuchen Guo, Rongpin Wang
:
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Comput. Methods Programs Biomed. 221: 106924 (2022) - 2021
- [j11]Zhenxing Huang
, Xinfeng Liu, Rongpin Wang, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. Appl. Intell. 51(5): 2838-2849 (2021) - [j10]Mudan Zhang, Xianchun Zeng, Chencui Huang, Jun Liu, Xinfeng Liu, Xingzhi Xie, Rongpin Wang:
An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators. Int. J. Medical Informatics 154: 104545 (2021) - [j9]Zhenxing Huang
, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. Neurocomputing 428: 104-115 (2021) - [j8]Zihao Bo
, Hui Qiao
, Chong Tian, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong
, Feng Xu, Tijiang Zhang, Rongpin Wang
, Qionghai Dai:
Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. Patterns 2(2): 100197 (2021) - [j7]Lingwei Meng
, Di Dong
, Xin Chen
, Mengjie Fang, Rongpin Wang
, Jing Li, Zaiyi Liu, Jie Tian
:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25(3): 755-763 (2021) - [j6]Zhenxing Huang
, Xinfeng Liu
, Rongpin Wang
, Zixiang Chen, Yongfeng Yang
, Xin Liu
, Hairong Zheng
, Dong Liang
, Zhanli Hu
:
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites. IEEE J. Biomed. Health Informatics 25(9): 3416-3427 (2021) - [j5]Liwen Zhang, Di Dong
, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang
, Junlin Zhou, Jie Tian
:
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics 25(10): 3933-3942 (2021) - [j4]Weijian Huang
, Hao Yang
, Xinfeng Liu
, Cheng Li
, Ian Zhang, Rongpin Wang
, Hairong Zheng
, Shanshan Wang
:
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40(10): 2589-2599 (2021) - 2020
- [j3]Yichao Zheng
, Yinheng Zhu
, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang
, Shaohua Ma
:
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns 1(6): 100092 (2020) - [j2]Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma:
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns 1(9): 100173 (2020) - 2019
- [j1]Xinfeng Liu, Hao Yang, Kehan Qi
, Pei Dong
, Qiegen Liu
, Xin Liu
, Rongpin Wang
, Shanshan Wang
:
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7: 178486-178495 (2019)
Conference and Workshop Papers
- 2023
- [c1]Jiangjie Wu, Lixuan Chen, Zhenghao Li, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang:
ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction. ISBI 2023: 1-5
Informal and Other Publications
- 2022
- [i3]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR abs/2210.16640 (2022) - 2020
- [i2]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR abs/2008.01896 (2020) - [i1]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
Coauthor Index
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