Rongpin Wang - RankMe

51 papers Journal 49Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing automated diagnosis of active pulmonary tuberculosis in multi-center settings through domain generalization and multi-scale convolution fusion. Biomed. Signal Process. Control. Zhangxin Hong, Mudan Zhang, Bangkang Fu, Zhenliang Xiong, Rongpin Wang
2026	J	`jnl`	Diffusion kurtosis imaging for detecting renal functional changes in glomerulonephritis: a longitudinal experimental study. BMC Medical Imaging Jian Liu, Yu Wu, Daoyu Yang, Xunlan Zhang, Rongpin Wang, Xianchun Zeng
2026	J	`jnl`	HSFSurv: A hybrid supervision framework at individual and feature levels for multimodal cancer survival analysis. Medical Image Anal. Bangkang Fu, Junjie He, Xiaoli Zhang, Yunsong Peng, Zhuxu Zhang, Qi Tang, Xinfeng Liu, Ying Cao, Rongpin Wang
2026	J	`jnl`	Integrating whole-slide images and transcriptomic data for survival analysis using multimodal attention networks. Eng. Appl. Artif. Intell. Chunfeng Shao, Yuanshen Zhao, Yinsheng Chen, Jingxian Duan, Zeyu Zhang, Rongpin Wang, Dong Liang, Dongyue Chen, Zhi-Cheng Li
2026	J	`jnl`	Multimodal dynamic fusion framework for survival prediction in clear cell renal cell carcinoma. Inf. Fusion Bangkang Fu, Wuchao Li, Junjie He, Zi Xu, Yunsong Peng, Zhen Liu, Yan Zhang, Pinhao Li, Ping Huang, Rongpin Wang
2026	J	`jnl`	Multimodal radiomics of precisely segmented hippocampal subfields: Iron deposition and structural biomarkers for early diagnosis of Alzheimer's disease. NeuroImage Dongxue Li, Junjie He, Benqin Liu, Lin Zhu, Yuezong Yang, Yunsong Peng, Lisha Nie, Rongpin Wang
2026	J	`jnl`	PI-uMSS: Prior information-based unsupervised magnetic source separation in quantitative susceptibility mapping. NeuroImage Junjie He, Bangkang Fu, Cen Pan, Lisha Nie, Rui Xu, Zi Xu, Rongpin Wang
2026	J	`jnl`	Pathological graph self-supervised learning for clear-cell renal cell carcinoma survival prediction. Pattern Recognit. Wuchao Li, Yan Zhang, Shangzong Yang, Xuetao Zhang, Pinhao Li, Rongpin Wang
2025	J	`jnl`	3D Isotropic High-Resolution Fetal Brain MRI Reconstruction From Motion Corrupted Thick Data Based on Physical-Informed Unsupervised Learning. IEEE J. Biomed. Health Informatics Jiangjie Wu, Lixuan Chen, Zhenghao Li, Xin Li, Taotao Sun, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang
2025	J	`jnl`	ACE-QSM: Accelerating quantitative susceptibility mapping acquisition using diffusion models by reducing repetition time. Biomed. Signal Process. Control. Junjie He, Bangkang Fu, Bo Wang, Yunsong Peng, Lisha Nie, Man Tang, Rui Xu, Rongpin Wang
2025	J	`jnl`	BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation. Comput. Methods Programs Biomed. Bangkang Fu, Feng Liu, Junjie He, Zi Xu, Yunsong Peng, Xiaoli Zhang, Rongpin Wang
2025	J	`jnl`	Convolutional state space model with multi-window cross-scan to advance the automated diagnosis of skeletal fluorosis. Biomed. Signal Process. Control. Hao Xu, Yun Wu, Rui Xie, Jun Xu, Junpeng Wu, Rongpin Wang, Youliang Tian
2025	J	`jnl`	Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping. Medical Image Anal. Qijian Chen, Lihui Wang, Zeyu Deng, Rongpin Wang, Li Wang, Caiqing Jian, Yue-Min Zhu
2025	J	`jnl`	GAMMIL: A graph attention-guided multi-scale fusion multiple instance learning model for the WHO grading of meningioma in whole slide images. Biomed. Signal Process. Control. Guilan Tu, Wuchao Li, Yongshun Lin, Zi Xu, Junjie He, Bangkang Fu, Ping Huang, Rongpin Wang, Yunsong Peng
2025	J	`jnl`	HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC. Medical Image Anal. Xiangmin Han, Wuchao Li, Yan Zhang, Pinhao Li, Jianguo Zhu, Tijiang Zhang, Rongpin Wang, Yue Gao
2025	J	`jnl`	Magnetic resonance imaging for noninvasive assessment of renal fat deposition and hypoxia in diabetic kidney disease. BMC Medical Imaging Jian Liu, Daoyu Yang, Chong Tian, Rui Lv, Rongpin Wang, Xianchun Zeng
2025	J	`jnl`	Masked latent transformer with random masking ratio to advance the diagnosis of dental fluorosis. J. Vis. Commun. Image Represent. Hao Xu, Yun Wu, Junpeng Wu, Rui Xie, Maohua Gu, Rongpin Wang
2025	J	`jnl`	PcPreT-Net: Predicting classification of decline rate in prostate-specific antigen using graph neural network. Displays Chongzhe Yan, Feng Liu, Ying Cao, Huijuan Tu, Zi Xu, Wuchao Li, Pinhao Li, Zhiyang Xing, Yi Chen, Zhi-Cheng Li, Yuanshen Zhao, Bo Gao, Rongpin Wang
2025	J	`jnl`	RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images. Comput. Methods Programs Biomed. Jiahui Mao, Wuchao Li, Xinhuan Sun, Bangkang Fu, Junjie He, Chongzhe Yan, Jianguo Zhu, Zhuxue Zhang, Zhangxin Hong, Qi Tang, Zhen Liu, Pinhao Li, Yan Zhang, Rongpin Wang
2025	J	`jnl`	SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction. CoRR Jiangjie Wu, Lixuan Chen, Zhenghao Li, Xin Li, Saban Öztürk, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang
2025	J	`jnl`	Segmentation outperforms registration in quantitative analysis of brain iron. Biomed. Signal Process. Control. Junjie He, Bangkang Fu, Bo Wang, Zhenliang Xiong, Yunsong Peng, Rongpin Wang
2025	J	`jnl`	Unveiling hidden risks: A Holistically-Driven Weak Supervision framework for ultra-short-term ACS prediction using CCTA. Comput. Medical Imaging Graph. Zhen Liu, Bangkang Fu, Jiahui Mao, Junjie He, Jiangyue Xiang, Hongjin Li, Yunsong Peng, Bangguo Li, Rongpin Wang
2024	J	`jnl`	3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC. Biomed. Signal Process. Control. Chongzhe Yan, Feng Liu, Yunsong Peng, Yuanshen Zhao, Junjie He, Rongpin Wang
2024	J	`jnl`	A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI. Displays Feng Liu, Yuanshen Zhao, Jukun Song, Guilan Tu, Yadong Liu, Yunsong Peng, Jiahui Mao, Chongzhe Yan, Rongpin Wang
2024	J	`jnl`	A nutrition-based radiomics-clinical model to predict the prognosis of patients with acute-on-chronic liver failure. Displays Qian Zhang, Yunsong Peng, Siyi Lei, Tingting Xiong, Liulu Zhang, Hong Peng, Xinhua Luo, Rongpin Wang
2024	J	`jnl`	HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation. Comput. Biol. Medicine Bangkang Fu, Yunsong Peng, Junjie He, Chong Tian, Xinhuan Sun, Rongpin Wang
2024	J	`jnl`	Identifying pathological groups from MRI in prostate cancer using graph representation learning. Displays Feng Liu, Yuanshen Zhao, Chongzhe Yan, Jingxian Duan, Lei Tang, Bo Gao, Rongpin Wang
2024	J	`jnl`	Multicenter evaluation of CT deep radiomics model in predicting Leibovich score risk groups for non-metastatic clear cell renal cell carcinoma. Displays Wuchao Li, Tongyin Yang, Pinhao Li, Xinfeng Liu, Shasha Zhang, Jianguo Zhu, Yuanyuan Pei, Yan Zhang, Tijiang Zhang, Rongpin Wang
2024	J	`jnl`	SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. Comput. Biol. Medicine Junjie He, Mudan Zhang, Wuchao Li, Yunsong Peng, Bangkang Fu, Chen Liu, Jian Wang, Rongpin Wang
2024	—	`conf`	mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain. MICCAI (2) Junjie He, Bangkang Fu, Zhenliang Xiong, Yunsong Peng, Rongpin Wang
2023	J	`jnl`	A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. BMC Medical Imaging Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang, Chen Liu
2023	J	`jnl`	A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 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
2023	—	`conf`	ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction. ISBI Jiangjie Wu, Lixuan Chen, Zhenghao Li, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang
2023	J	`jnl`	Deep wavelet scattering orthogonal fusion network for glioma IDH mutation status prediction. Comput. Biol. Medicine Qijian Chen, Lihui Wang, Zhiyang Xing, Li Wang, Xubin Hu, Rongpin Wang, Yue-Min Zhu
2023	J	`jnl`	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. Xinhuan Sun, Wuchao Li, Bangkang Fu, Yunsong Peng, Junjie He, Lihui Wang, Tongyin Yang, Xue Meng, Jin Li, Jinjing Wang, Ping Huang, Rongpin Wang
2023	J	`jnl`	msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping. NeuroImage Junjie He, Yunsong Peng, Bangkang Fu, Yuemin Zhu, Lihui Wang, Rongpin Wang
2022	J	`jnl`	2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2022	J	`jnl`	StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Comput. Methods Programs Biomed. Bangkang Fu, Mudan Zhang, Junjie He, Ying Cao, Yuchen Guo, Rongpin Wang
2021	J	`jnl`	2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2021	J	`jnl`	A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2021	J	`jnl`	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 Mudan Zhang, Xianchun Zeng, Chencui Huang, Jun Liu, Xinfeng Liu, Xingzhi Xie, Rongpin Wang
2021	J	`jnl`	Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. Neurocomputing Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
2021	J	`jnl`	FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. Appl. Intell. Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
2021	J	`jnl`	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 Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
2021	J	`jnl`	Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian
2021	J	`jnl`	Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. Patterns 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
2020	J	`jnl`	A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma
2020	J	`jnl`	A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma
2020	J	`jnl`	A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2020	J	`jnl`	AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR 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
2019	J	`jnl`	MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang