葛荣骏
近期热点
资料介绍
个人简历
中共党员,南京航空航天大学计算机科学与技术学院院聘副教授,硕士生导师。研究方向包括人工智能、医学影像智能重建与分析、医学信息分析、图像处理等。博士毕业于东南大大学计算机科学与工程学院,师从长江学者特聘教授罗立民教授、陈阳教授。攻读博士学位期间,由国家留学基金委资助,赴加拿大西安大略大学联合培养,师从李硕教授。2021年1月进入南京航空航天大学计算机科学与技术学院工作。共计已发表学术20余篇,包括IEEE TMI、MedIA、MICCAI、IPMI等期刊及会议,其中第一作者(共同第一作者)身份在领域知名国际期刊与会议上发表论文10余篇。论文总影响因子共计80.12,其中近三年第一作者论文影响因子累计高达44.447。担任TMI、MedIA、TII、MICCAI等国际顶级期刊、会议审稿人。现主持国家自然科学青年基金、江苏省自然科学基金(青年)项目、南京航空航天大学青年科技创新基金(理工民口类)、“计算机网络和信息集成教育部重点实验室”开放课题、南京航空航天大学人才启动经费专项项目。承担的科研项目情况:国家自然科学基金青年科学基金,2022-01-01至2024-12-31,在研,主持江苏省自然科学基金青年基金,2021-07-01 至 2024-06-30, 在研,主持南京航空航天大学青年科技创新基金(理工民口类),2021-01-01 至 2022-12-31, 在研,主持“计算机网络和信息集成教育部重点实验室”开放课题,2021-07-01 至 2023-06-30, 在研,主持江苏省研究生科研与实践创新计划项目,2017-2020,结项,主持教育经历2017.92019.3加拿大西安大略大学生物医学工程2016.82020.12东南大学计算机技术博士2013.92016.6兰州大学电子与通信工程硕士2009.92013.6兰州大学电子与信息理学学士学位2021.1至今南京航空航天大学计算机科学与技术学院院聘副教授在职工作经历2021.1至今南京航空航天大学计算机科学与技术学院院聘副教授在职科研项目国家自然科学基金青年基金青年科技创新基金(理工民口类)江苏省自然科学基金青年基金计算机网络和信息集成教育部重点实验室开放课题南京航空航天大学科研启动基金研究领域
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"人工智能,医学图像分析"近期论文
[1]Convolutional squeeze-and-excitation network for ECG arrhythmia detection.Artificial Intelligence in Medicine,2021,121:102181[2]Rongjun Ge,Guanyu Yang,Yang Chen等.K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.IEEE Transactions on Medical Imaging,2020,39(5):1690-1702[3]Rongjun Ge,Guanyu Yang,Yang Chen等.PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.Medical Image Analysis,2019,58:101554[4]Zhan Wu,Rongjun Ge,Yang Chen等.ELNet: Automatic Classification and Segmentation for Esophageal Lesions using Convolutional Neural Network.Medical Image Analysis,2021,67:101838[5]Rongjun Ge,Guanyu Yang,Chenchu Xu等.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), (Oral),2019[6]Rongjun Ge,Guanyu Yang,Chenchu Xu等.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[7]Rongjun Ge,Liang Zhang,Tongfeng Zhang等.A modified pulse-coupled spiking neuron circuit with memory threshold and its application.IEICE Electronics Express,2016,13(8):20151121-20151121[8]Rongjun Ge,Guanyu Yang,Jiasong Wu等.A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process.IEEE Access,2019,7[9]Rongjun Ge,Liang Zhang,Tongfeng Zhang等.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[10]Yuting He,Rongjun Ge,Xiaoming Qi等.EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.International Conference on Information Processing in Medical Imaging(IPMI),2021:465-477[11]Yikun Zhang,Tianling Lv,Rongjun Ge等.CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.IEEE Transactions on Computational Imaging,7:436-447[12]Bangzhong Gu,Rongjun Ge,Yang Chen等.Automatic and robust object detection in X-ray baggage inspection using deep convolutional neural networks.IEEE Transactions on Industrial Electronics,2020,68(10):10248 - 10257[13]Zhan Wu,Rongjun Ge,Gonglei Shi等.MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.Physics in Medicine & Biology,2020,65(23):235053[23] Rongjun Ge, Yuting He, Cong Xia, Guanyu Yang, Yang Chen, Limin Luo, Shuo Li. X-CTRSNet: 3D Cervical Vertebra CT Reconstruction and Segmentation Directly from 2D X-Ray Images. Knowledge-based Systems (KBS), 2022, 236: 107680. (SCI, IF: 8.038, Q1, 中科院一区,Top期刊)[22] 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)[21] 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), 2021.1, 67: 101838. (SCI, IF: 8.545, Q1, 中科院一区, Top期刊)[20] 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: 5.326, Q1, 中科院二区)[19] 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), 2020.5, 39(5): 1690-1702. (SCI, IF: 10.048, Q1, 中科院一区, Top期刊)[18] 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), 2019.12, 58: 101554. (SCI, IF: 8.545, Q1, 中科院一区, Top期刊)[17] 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%)[16] 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)[15] 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, 2019.7.8, 7: 99470-99480. (SCI, IF: 3.367, Q1, 中科院二区)[14] 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: 0.578)[13] 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)[12] 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)[11] 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: 8.545, Q1, 中科院一区, Top期刊)[10] 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: 8.236, Q1, 中科院一区, Top期刊)[9] 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: 3.609, Q1, 中科院二区, Top期刊)[8] 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: 5.772, Q1, 中科院二区)[7] 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: 3.814, 中科院二区)[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: 3.814, 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: 1.305)[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: 0.578)[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.江苏省特色化软件人才培养专委会委员 相关热点
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