(1) 2016-09至2020-12, 东南大学, 计算机科学与技术, 博士, 导师: 陈阳教授、罗立民教授

(2) 2017-09至2019-03,The University of Western Ontario, 计算机科学与技术, 联合培养博士, 导师: Shuo Li教授

(3) 2013-09至2016-06, 兰州大学, 电子与通信工程, 硕士, 导师: 马义德教授

(4) 2009-09至2013-06, 兰州大学, 电子信息科学与技术（基地班）, 学士

(1) 2023-09至今，东南大学仪器科学与工程学院，副研究员

主持在研项目：

作为项目负责人主持国家、省部级项目4项和校级项目1项，包括国家自然科学基金、江苏省自然科学基金等

招生情况：

每年招收硕士生2-3名

国内外合作：

与Case Western University、Rensselaer Polytechnic Institute、香港科技大学等著名高校保持长期科研合作与研究生联合指导

主要研究方向：

人工智能、医学影像智能重建与分析、医学信息分析、图像处理等，包括但不限于：

1.基于人工智能的CT设备高质量重建系统

2.基于人工智能的医学数据自动化测量与分析系统

3.基于人工智能的医疗交互式眼动仪设备

江苏省“双创博士”，并于近三年作为项目负责人主持国家、省部级项目4项和校级项目1项，包括国家自然科学基金、江苏省自然科学基金。

发明专利：

[6]动态视觉驱动的大模型无感交互分割方法，ZL 202410111204.6，授权

[5]基于多尺度交叉融合和边界引导的数字化病理胰腺癌神经分割方法，ZL 202311755220.0，授权

[4]基于眼动仪的腹部多器官CT图像分割方法，ZL 202310694214.2，授权

[3]超分辨率重建辅助的CT图像超分辨率分割方法，ZL 202310682299.2，授权

[2]基于3D物理空间域和螺旋分解空间域的胰腺癌分割方法，ZL 202310683656.7，授权

[1]基于低剂量和超分辨率的多任务高质量CT图像重建方法，ZL 202310220406.X，授权

部分学术论文：(详见个人谷歌学术主页：https://scholar.google.com/citations?hl=zh-CN&user=v8K8HIkAAAAJ‪‬‬)

[34]  Rongjun Ge,Yuting He, Cong Xia, Guangquan Zhou, Yang Chen, Daoqiang Zhang, Ge Wang. JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition (MICCAI), 2023 (EI, 医学影像领域顶会)

[33]  Chong Wang, Daoqiang Zhang, Rongjun Ge*(通讯作者). Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 (EI, 医学影像领域顶会)

[32]  Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang. Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 (EI, 医学影像领域顶会)

[31]   Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li. Thin Semantics Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023: 9538-9547. (EI, CCF A)

[30]  Rongjun Ge, Fanqi Shi, Yang Chen, Shujun Tang, Hailong Zhang, Xiaojian Lou, Wei Zhao, Gouenou Coatrieux, Dazhi Gao, Shuo Li, Xiaoli Mai. Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network. Biomedical Signal Processing and Control (BSPC). 2023, 82: 104590. (SCI, IF: 5.1, Q2, 中科院二区)

[29] Rongjun Ge, Yuting He, Cong Xia, Yang Chen, Shuo Li, Daoqiang Zhang. DDPNet: A Novel Dual-domain Parallel Network for Low-dose CT Reconstruction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022, 748-757 (EI, 医学影像领域顶会)

[28] Rongjun Ge, Yuting He, Cong Xia, Guanyu Yang, Yang Chen, Limin Luo, Shuo Li, Daoqiang Zhang. X-CTRSNet: 3D Cervical Vertebra CT Reconstruction and Segmentation Directly from 2D X-Ray Images. Knowledge-based Systems (KBS), 2022, 236: 107680. (SCI, IF: 8.139, Q1, 中科院一区,Top期刊)

[27] Rongjun Ge, Cong Xia, Yang Chen, Shuo Li, Daoqiang Zhang. RE-3DLVNet: Refined Estimation of the Left Ventricle Volume via Interactive 3D Segmentation and Reinforced Quantificatio. Knowledge-based Systems (KBS), 2022, 251: 109212. (SCI, IF: 8.139, Q1, 中科院一区，Top期刊)

[26] Liutao Yang, Rongjun Ge, Shichang Feng, Daoqiang Zhang. Learning Projection Views for Sparse-View CT Reconstruction.  ACM International Conference on Multimedia (ACM MM), 2022: 2645-2653. (EI, CCF A)

[25] Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li. Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation, IEEE International Conference on Data Mining (ICDM). IEEE, 2021: 1096-1101. (EI, CCF B)

[24] Zhan Wu#, Rongjun Ge# (共同一作), Yang Chen, Limin Luo, Shuo Li. ELNet: Automatic Classification and Segmentation for Esophageal Lesions using Convolutional Neural Network, Medical Image Analysis (MedIA), 2021, 67: 101838. (SCI, IF: 13.828, Q1, 中科院一区, Top期刊)

[23] Rongjun Ge, Tengfei Shen, Ying Zhou, Chengyu Liu, Libo Zhang, Benqiang Yang, Ying Yan, Jean-Louis Coatrieux, Yang Chen. Convolutional squeeze-and-excitation network for ECG arrhythmia detection, Artificial Intelligence in Medicine(AIIM), 2021, 121: 102181. (SCI, IF: 7.011, Q1, 中科院二区)

[22] Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Hong Ma, Junyi Ren, Shuo Li. K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence, IEEE Transactions on Medical Imaging (TMI), 2020, 39(5): 1690-1702. (SCI, IF: 11.037, Q1, 中科院一区, Top期刊)

[21] Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li. PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks, Medical Image Analysis (MedIA), 2019, 58: 101554. (SCI, IF: 13.828, Q1, 中科院一区, Top期刊)

[20] Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li. Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019, 328-338. (EI, 医学影像领域顶会, Oral, 该比例仅为3%)

[19] Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li. EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning, International Conference on Artificial Neural Networks (ICANN), 2019, 219-230. (EI, CCF C)

[18] Rongjun Ge, Guanyu Yang, Jiasong Wu, Yang Chen, Gouenou Coatrieux, Limin Luo. A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process, IEEE Access, 2019, 7: 99470-99480. (SCI, IF: 3.476, Q1, 中科院二区)

[17] Rongjun Ge, Liang Zhang, Tongfeng Zhang, Shouliang Li, Guan Gui, Yide Ma. A modified pulse-coupled spiking neuron circuit with memory threshold and its application, IEICE Electronics Express, 2016, 13(8): 20151121-20151121. (SCI, IF: 0.709)

[16] Rongjun Ge, Liang Zhang, Tongfeng Zhang, Shouliang Li, Yide Ma. A modified spiking neuron circuit with memory threshold and its application in image encryption, IEEE International Conference on Software Engineering and Service Science, 2015, 872-877. (EI)

[15] Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li, EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. International Conference on Information Processing in Medical Imaging (IPMI), 2021, 465-477.(EI, 医学影像领域顶会)

[14] Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, et al., Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical image analysis (MedIA), 2021: 102055.(SCI, IF: 13.828, Q1, 中科院一区, Top期刊)

[13] Bangzhong Gu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux. Automatic and robust object detection in X-ray baggage inspection using deep convolutional neural networks. IEEE Transactions on Industrial Electronics (TIE), 2020. (SCI, IF: 8.162, Q1, 中科院一区, Top期刊)

[12] Zhan Wu, Rongjun Ge, Gonglei Shi, Yang Chen, Lu Zhang, Limin Luo, Yu Cao, Hengyong Yu. MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection. Physics in Medicine & Biology (PMB), 2020, 65(23): 235053. (SCI, IF: 4.174, Q2, 中科院二区, Top期刊)

[11] Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching. IEEE Journal of Biomedical and Health Informatics (JBHI), 2021. (SCI, IF: 7.021, Q1, 中科院二区)

[10] Yikun Zhang, Tianling Lv, Rongjun Ge, et al. CD-Net: Comprehensive Domain Network with Spectral Complementary for DECT Sparse-View Reconstruction. IEEE Transactions on Computational Imaging (TCI), 2021.(SCI, IF: 4.708, 中科院二区)

[9] Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi. S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. IEEE Journal of Biomedical and Health Informatics (JBHI), 2022. (IF: 7.021, 中科院二区)

[8] Weiya Sun, Yuting He, Rongjun Ge, Guanyu Yang, Yang Chen, Huazhong Shu. Projection network with Spatio-temporal information: 2D+ time DSA to 2D aorta segmentation. Multimedia Tools and Applications, 2022: 1-15. (IF: 2.577, 中科院三区)

[7] Yuan Gao, Han Chen, Rongjun Ge, Zhan Wu, Hui Tang, Dazhi Gao, Xiaoli Mai, Libo Zhang, Benqiang Yang, Yang Chen, Jean-Louis Coatrieux. Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network. International Journal of Computer Assisted Radiology and Surgery, 2022: 1-10.(IF: 3.421, 中科院三区)

[6] Zhan Wu, Rongjun Ge, Yang Chen, Xiaopu He, Limin Luo, Yu Cao, Hengyong Yu. Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans[J]. Journal of Medical Imaging and Health Informatics, 2021, 11(11): 2722-2732.

[5] Dianlin Hu, Weiwen Wu, Moran Xu, Yanbo Zhang, Jin Liu, Rongjun Ge, Yang Chen, Limin Luo, Gouenou Coatrieux. SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT. IEEE Transactions on Computational Imaging (TCI), 2020, 6: 477-490. (SCI, IF: 4.708, 中科院二区)

[4] Tongfeng Zhang, Shouliang Li, Rongjun Ge, Min Yuan, Yide Ma. A Novel 1D Hybrid Chaotic Map-Based Image Compression and Encryption Using Compressed Sensing and Fibonacci-Lucas Transform, Mathematical Problems in Engineering, 2016.5.9, 2016: 1-15. (SCI, IF: 1.430)

[3] Tongfeng Zhang, Shouliang Li, Rongjun Ge, Min Yuan, Guan Gui, Yide Ma. A chaotic pulse sequence generator based on the tent map. IEICE Electronics Express, 2015, 12(16), 20150530-20150530. (SCI, IF: 0.709)

[2] Tongfeng Zhang, Shouliang Li, Rongjun Ge, Yide Ma. A fast 1d chaotic map-based image encryption using generalized Fibonacci-Lucas transform and bidirectional diffusion, International Conference on Digital Image Processing, 2016, 100332S-100332S-9. (EI)

[1] 张良, 葛荣骏, 马义德, 等. 基于 FPGA 和 Nios 系统设计的智能电子测试仪器. 微型机与应用, 2016, 35(4): 50-53.