Rongjun Ge

1.0k citations

35 papers · 657 · h-index 16

Impact in

Computer Vision and Pattern Recognition top 5%
- Chaos-based Image/Signal Encryption
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Radiology, Nuclear Medicine and Imaging top 5%
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging

Papers in

Radiology, Nuclear Medicine and Imaging 17
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 6
Computer Vision and Pattern Recognition 15
- Advanced Neural Network Applications 6
- Chaos-based Image/Signal Encryption 5
- Medical Image Segmentation Techniques 5

Co-authors: Yang Chen (19 shared papers)Limin Luo (9 shared papers)Guanyu Yang (10 shared papers)Shuo Li (12 shared papers)Gouenou Coatrieux (5 shared papers)Yuting He (9 shared papers)Daoqiang Zhang (4 shared papers)Jiasong Wu (3 shared papers)
Journals: IEEE Transactions on Instrumentation and Measurement (3 papers)Medical Image Analysis (3 papers)Artificial Intelligence in Medicine (2 papers)Knowledge-Based Systems (2 papers)IEEE Transactions on Computational Imaging (2 papers)
Partner nations: China France Canada

In The Last Decade

Rongjun Ge

34 papers receiving 635 citations

Peers

Countries citing papers authored by Rongjun Ge

Since Specialization

Citations

This map shows the geographic impact of Rongjun Ge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rongjun Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rongjun Ge more than expected).

Fields of papers citing papers by Rongjun Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rongjun Ge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rongjun Ge. The network helps show where Rongjun Ge may publish in the future.

Co-authors

The 25 scholars most cited alongside Rongjun Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rongjun Ge Line = papers co-authored together Rongjun Ge links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Low-Dose CT Denoising via Sinogram Inner-Structure Transformer IEEE Transactions on Medical Imaging ·Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang	2022	65
2	ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network Medical Image Analysis ·Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen, Pinzheng Zhang, Xiaopu He, Jie Hua, Limin Luo, Shuo Li	2020	62
3	A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process IEEE Access ·Rongjun Ge, Guanyu Yang, Jiasong Wu, Yang Chen, Gouenou Coatrieux, Limin Luo	2019	58
4	K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence IEEE Transactions on Medical Imaging ·Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Hong Ma, Junyi Ren, Shuo Li	2019	50
5	SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT IEEE Transactions on Computational Imaging ·Dianlin Hu, Weiwen Wu, Moran Xu, Yanbo Zhang, Jin Liu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux	2019	40
6	Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks IEEE Transactions on Industrial Electronics ·Bangzhong Gu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux	2020	39
7	CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction IEEE Transactions on Computational Imaging ·Yikun Zhang, Tianling Lv, Rongjun Ge, Qianlong Zhao, Dianlin Hu, Liu Zhang, Jin Liu, Yi Zhang, Qiegen Liu, Wei Zhao, Yang Chen	2021	36
8	PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks Medical Image Analysis ·Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li	2019	35
9	Meta grayscale adaptive network for 3D integrated renal structures segmentation Medical Image Analysis ·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	2021	28
10	Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching IEEE Journal of Biomedical and Health Informatics ·Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li	2021	28
11	Convolutional squeeze-and-excitation network for ECG arrhythmia detection Artificial Intelligence in Medicine ·Rongjun Ge, Tengfei Shen, Ying Zhou, Chengyu Liu, Libo Zhang, Benqiang Yang, Ying Yan, Jean-Louis Coatrieux, Yang Chen	2021	24
12	Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness IEEE Transactions on Neural Networks and Learning Systems ·Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li	2022	24
13	A Novel 1D Hybrid Chaotic Map-Based Image Compression and Encryption Using Compressed Sensing and Fibonacci-Lucas Transform Mathematical Problems in Engineering ·Tongfeng Zhang, Shouliang Li, Rongjun Ge, Min Yuan, Yide Ma	2016	24
14	X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images Knowledge-Based Systems ·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	2021	24
15	Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training SPIRE - Sciences Po Institutional REpository ·Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li	2023	24
16	MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection Physics in Medicine and Biology ·Zhan Wu, Rongjun Ge, Gonglei Shi, Lu Zhang, Yang Chen, Limin Luo, Yu Cao, Hengyong Yu	2020	16
17	3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning IEEE Transactions on Instrumentation and Measurement ·Yuan Gao, Hui Tang, Rongjun Ge, Jin Liu, Xin Chen, Yan Xi, Xu Ji, Huazhong Shu, Zhu Jian, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen	2023	11
18	Development of a radiomics-based model to predict occult liver metastases of pancreatic ductal adenocarcinoma: a multicenter study International Journal of Surgery ·Ben Y. Zhao, Cong Xia, Tianyi Xia, Yue Qiu, Liwen Zhu, Buyue Cao, Yin Gao, Rongjun Ge, Wu Cai, Zhimin Ding, Qian Yu, Chun‐Qiang Lu, Tianyu Tang, Yuancheng Wang, Yang Song, Xueying Long, Jing Ye, Dong Lu, Shenghong Ju	2023	10
19	Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network Biomedical Signal Processing and Control ·Rongjun Ge, Fanqi Shi, Yang Chen, Tang Shujun, Hailong Zhang, Xiaojian Lou, Wei Zhao, Gouenou Coatrieux, Dazhi Gao, Shuo Li, Xiaoli Mai	2023	7
20	A novel DAVnet3+ method for precise segmentation of bladder cancer in MRI The Visual Computer ·Liang Wang, Lingkai Cai, Chunxiao Chen, Xue Fu, Jie Yu, Rongjun Ge, Baorui Yuan, Xiao Yang, Qiang Shao, Qiang Lv	2022	7

About Rongjun Ge

Rongjun Ge is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 657 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Neural Network Applications (6 papers), Medical Imaging and Analysis (6 papers), Chaos-based Image/Signal Encryption (5 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Radiology, Nuclear Medicine and Imaging (305 citations), Health Informatics (9 citations), Biomedical Engineering (220 citations) and Artificial Intelligence (133 citations). Rongjun Ge has collaborated with scholars based in China, France and Canada. Frequent co-authors include Yang Chen, Limin Luo, Guanyu Yang, Shuo Li, Gouenou Coatrieux, Yuting He, Daoqiang Zhang, Jiasong Wu, Jean-Louis Coatrieux and Cheng Feng. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Medical Image Analysis, Artificial Intelligence in Medicine, Knowledge-Based Systems and IEEE Transactions on Computational Imaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Rongjun Ge

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