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Rongpin Wang
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2020 – today
- 2024
- [j23]Chongzhe Yan
, Feng Liu, Yunsong Peng
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
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. Comput. Biol. Medicine 169: 107866 (2024) - [j21]Bangkang Fu
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) - [c2]Junjie He, Bangkang Fu, Zhenliang Xiong, Yunsong Peng, Rongpin Wang:
mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain. MICCAI (2) 2024: 323-333 - 2023
- [j17]Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue
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
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
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
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping. NeuroImage 275: 120181 (2023) - [j13]Jiadong Zhang, Zhiming Cui, Zhenwei Shi
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (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 - 2022
- [j12]Bangkang Fu
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Comput. Methods Programs Biomed. 221: 106924 (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) - 2021
- [j11]Zhenxing Huang
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
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
Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. Patterns 2(2): 100197 (2021) - [j7]Lingwei Meng
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
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
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
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
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) - [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)
2010 – 2019
- 2019
- [j1]Xinfeng Liu, Hao Yang, Kehan Qi
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7: 178486-178495 (2019)
Coauthor Index
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