Rongjun Ge

According to our database, Rongjun Ge authored at least 59 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference.

Yuxin Liu, Yiqing Dong, Wenxue Yu, Zhan Wu, Rongjun Ge, Yang Chen, Yuting He

CoRR, April, 2026

Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation.

Yanglong He, Rongjun Ge, Hui Tang, Yuxin Liu, Mengqing Su, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Yuting He

IEEE Trans. Medical Imaging, February, 2026

MRI Contrast Enhancement Kinetics World Model.

Jindi Kong, Yuting He, Cong Xia, Rongjun Ge, Shuo Li

CoRR, February, 2026

Adaptation Follow Human Attention: Gaze-Assisted Medical Segment Anything Model.

Rongjun Ge, Ruiyi Li, Chong Wang, Yuxin Liu, Heng Zhu, Jean-Louis Coatrieux, Daoqiang Zhang, Jian Lu, Yang Chen, Shuo Li, Yuting He

IEEE Trans. Circuits Syst. Video Technol., January, 2026

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.

Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang

Medical Image Anal., 2026

VCC-DSA: A novel vascular consistency constrained DSA imaging model for motion artifact suppression.

Rongjun Ge, Weilong Mao, Jian Lu, Rong Yan, Yikun Zhang, Peng Yuan, Jun Xiang, Hui Tang, Guanyu Yang, Yudong Zhang, Yang Chen, Shuo Li

Medical Image Anal., 2026

Generative data-engine foundation model for universal few-shot 2D vascular image segmentation.

Rongjun Ge, Xin Li, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean-Louis Dillenseger, Chunfeng Yang, Yuting He, Yang Chen

Medical Image Anal., 2026

Multisource space-frequency joint learning: A novel paradigm for ultrasound image quality assessment.

Tuo Liu, Xuan Zhang, Yingying Chen, Xuejuan Wang, Yang Chen, Rongjun Ge, Faqin Lv, Guang-Quan Zhou

Eng. Appl. Artif. Intell., 2026

2025

DINO-BOLDNet: A DINOv3-Guided Multi-Slice Attention Network for T1-to-BOLD Generation.

Jianwei Wang, Qing Wang, Menglan Ruan, Rongjun Ge, Chunfeng Yang, Yang Chen, Chunming Xie

CoRR, December, 2025

Poisson Flow Consistency Training.

Anthony Zhang, Mahmut S. Gokmen, Dennis Hein, Rongjun Ge, Wenjun Xia, Ge Wang, Jin Chen

CoRR, October, 2025

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.

Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang

CoRR, July, 2025

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning.

Yuting He, Boyu Wang, Rongjun Ge, Yang Chen, Guanyu Yang, Shuo Li

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

GFA-Net: Global Feature Aggregation Network Based on Contrastive Learning for Breast Lesion Automated Segmentation in Ultrasound Images.

Tao Wang, Chufeng Jin, Yang Chen, Guangquan Zhou, Rongjun Ge, Cheng Xue, Baike Shi, Tianyi Liu, Jean-Louis Coatrieux, Qianjin Feng

IEEE Trans. Instrum. Meas., 2025

Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation.

Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, Cong Xia, Yehui Jiang, Fangyi Xu, Yinsu Zhu, Daoqiang Zhang, Chengyu Liu, Yang Chen, Shuo Li, Yuting He

Neural Networks, 2025

KFDualUNet: Enhancing MRI Reconstruction Generalization Through Cross-Domain Synergistic Learning with Dual Cascaded UNets and K-Space Physical Constraints.

Ye Wang, Rongjun Ge

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2025

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines.

Tuo Liu, Qinghan Yang, Yu Zhang, Rongjun Ge, Yang Chen, Guangquan Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation.

Ruiyi Li, Yuting He, Rongjun Ge, Chong Wang, Daoqiang Zhang, Yang Chen, Shuo Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

IBS-Net: Advancing Implicit Boundary-Aware Segmentation for Diaphragm Ultrasound Analysis.

Baike Shi, Yikang He, Chenlong Miao, Wenbo Huang, Tao Wang, Tianyi Liu, Hui Tang, Jianmin Dong, Rongjun Ge, Guangquan Zhou, Yang Chen

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

DET-CPD: Dynamic Edge-Aware Transformer with Cross-Image Patch Dependency for Lesion Segmentation in Ultrasound Images.

Chufeng Jin, Tao Wang, Tianyi Liu, Baike Shi, Hui Tang, Guangquan Zhou, Rongjun Ge, Qianjin Feng, Yang Chen, Jean-Louis Coatrieux

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.

Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms.

Qian Li, Xingyao Wang, Hongxiang Gao, Rongjun Ge, Jianqing Li, Chengyu Liu

IEEE Trans. Instrum. Meas., 2024

Imaging foundation model for universal enhancement of non-ideal measurement CT.

Yuxin Liu, Rongjun Ge, Yuting He, Zhan Wu, Chenyu You, Shuo Li, Yang Chen

CoRR, 2024

Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.

Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat

Artif. Intell. Medicine, 2024

2023

A novel DAVnet3+ method for precise segmentation of bladder cancer in MRI.

Liang Wang, Lingkai Cai, Chunxiao Chen, Xue Fu, Jie Yu, Rongjun Ge, Baorui Yuan, Xiao Yang, Qiang Shao, Qiang Lv

Vis. Comput., October, 2023

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer.

Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang

IEEE Trans. Medical Imaging, April, 2023

Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.

Rongjun Ge, Fanqi Shi, Yang Chen, Shujun Tang, Hailong Zhang, Xiaojian Lou, Wei Zhao, Gouenou Coatrieux, Dazhi Gao, Shuo Li, Xiaoli Mai

Biomed. Signal Process. Control., April, 2023

3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning.

Yuan Gao, Hui Tang, Rongjun Ge, Jin Liu, Xin Chen, Yan Xi, Xu Ji, Huazhong Shu, Jian Zhu, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen

IEEE Trans. Instrum. Meas., 2023

ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI.

Ruiyi Li, Hanyuan Zheng, Weiya Sun, Rongjun Ge

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen.

Chong Wang, Daoqiang Zhang, Rongjun Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Teacher-Student Semi-supervised Strategy for Abdominal CT Organ Segmentation.

Chong Wang, Wen Dong, Rongjun Ge

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition.

Rongjun Ge, Yuting He, Cong Xia, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.

Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.

Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao

Proceedings of the Information Processing in Medical Imaging, 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.

Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net.

Dongying Yang, Cong Xia, Ge Tian, Daoqiang Zhang, Rongjun Ge

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer.

Yongqing Kou, Cong Xia, Yiping Jiao, Daoqiang Zhang, Rongjun Ge

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.

Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi

IEEE J. Biomed. Health Informatics, 2022

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li

IEEE J. Biomed. Health Informatics, 2022

Projection network with Spatio-temporal information: 2D + time DSA to 2D aorta segmentation.

Weiya Sun, Yuting He, Rongjun Ge, Guanyu Yang, Yang Chen, Huazhong Shu

Multim. Tools Appl., 2022

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.

Rongjun Ge, Cong Xia, Yuting He, Hailong Sun, Daoqiang Zhang, Guanyu Yang, Wentao Xiang, Jinjun Shi, Limin Luo, Yinsu Zhu, Shuo Li, Yang Chen

Knowl. Based Syst., 2022

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.

Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu

Knowl. Based Syst., 2022

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

Yuan Gao, Han Chen, Rongjun Ge, Zhan Wu, Hui Tang, Dazhi Gao, Xiaoli Mai, Libo Zhang, Benqiang Yang, Yang Chen, Jean-Louis Coatrieux

Int. J. Comput. Assist. Radiol. Surg., 2022

3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts.

Yongqing Kou, Rongjun Ge, Daoqiang Zhang

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Learning Projection Views for Sparse-View CT Reconstruction.

Liutao Yang, Rongjun Ge, Shichang Feng, Daoqiang Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction.

Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks.

Bangzhong Gu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux

IEEE Trans. Ind. Electron., 2021

CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.

Yikun Zhang, Tianling Lv, Rongjun Ge, Qianlong Zhao, Dianlin Hu, Liu Zhang, Jin Liu, Yi Zhang, Qiegen Liu, Wei Zhao, Yang Chen

IEEE Trans. Computational Imaging, 2021

ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network.

Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen, Pinzheng Zhang, Xiaopu He, Jie Hua, Limin Luo, Shuo Li

Medical Image Anal., 2021

Meta grayscale adaptive network for 3D integrated renal structures segmentation.

Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li

Medical Image Anal., 2021

Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans.

Zhan Wu, Rongjun Ge, Yang Chen, Xiaopu He, Limin Luo, Yu Cao, Hengyong Yu

J. Medical Imaging Health Informatics, 2021

Convolutional squeeze-and-excitation network for ECG arrhythmia detection.

Rongjun Ge, Tengfei Shen, Ying Zhou, Chengyu Liu, Libo Zhang, Benqiang Yang, Ying Yan, Jean-Louis Coatrieux, Yang Chen

Artif. Intell. Medicine, 2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.

Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li

Proceedings of the Information Processing in Medical Imaging, 2021

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.

Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.

Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Hong Ma, Junyi Ren, Shuo Li

IEEE Trans. Medical Imaging, 2020

SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT.

Dianlin Hu, Weiwen Wu, Moran Xu, Yanbo Zhang, Jin Liu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux

IEEE Trans. Computational Imaging, 2020

2019

PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.

Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li

Medical Image Anal., 2019

A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process.

Rongjun Ge, Guanyu Yang, Jiasong Wu, Yang Chen, Gouenou Coatrieux, Limin Luo

IEEE Access, 2019

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.

Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning.

Rongjun Ge, Guanyu Yang, Chenchu Xu, Jiulou Zhang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019