Rongpin Wang

According to our database, Rongpin Wang authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation.

Bangkang Fu, Yunsong Peng, Junjie He, Chong Tian, Xinhuan Sun, Rongpin Wang

Comput. Biol. Medicine, March, 2024

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images.

Junjie He, Mudan Zhang, Wuchao Li, Yunsong Peng, Bangkang Fu, Chen Liu, Jian Wang, Rongpin Wang

Comput. Biol. Medicine, February, 2024

2023

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.

Xinhuan Sun, Wuchao Li, Bangkang Fu, Yunsong Peng, Junjie He, Lihui Wang, Tongyin Yang, Xue Meng, Jin Li, Jinjing Wang, Ping Huang, Rongpin Wang

Comput. Methods Programs Biomed., December, 2023

A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly.

Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang, Chen Liu

BMC Medical Imaging, December, 2023

Deep wavelet scattering orthogonal fusion network for glioma IDH mutation status prediction.

Qijian Chen, Lihui Wang, Zhiyang Xing, Li Wang, Xubin Hu, Rongpin Wang, Yue-Min Zhu

Comput. Biol. Medicine, November, 2023

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.

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

Patterns, September, 2023

msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.

Junjie He, Yunsong Peng, Bangkang Fu, Yuemin Zhu, Lihui Wang, Rongpin Wang

NeuroImage, 2023

ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction.

Jiangjie Wu, Lixuan Chen, Zhenghao Li, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images.

Bangkang Fu, Mudan Zhang, Junjie He, Ying Cao, Yuchen Guo, Rongpin Wang

Comput. Methods Programs Biomed., 2022

2021

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.

Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang

IEEE Trans. Medical Imaging, 2021

Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients.

Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.

Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

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.

Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

IEEE J. Biomed. Health Informatics, 2021

Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network.

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

Patterns, 2021

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks.

Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

Neurocomputing, 2021

An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators.

Mudan Zhang, Xianchun Zeng, Chencui Huang, Jun Liu, Xinfeng Liu, Xingzhi Xie, Rongpin Wang

Int. J. Medical Informatics, 2021

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

Appl. Intell., 2021

2020

A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics.

Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma

Patterns, 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

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

CoRR, 2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.

Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang

CoRR, 2020

2019

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.

Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang

IEEE Access, 2019