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葛荣骏
2023-05-11 16:06
  • 葛荣骏
  • 葛荣骏 - 讲师 硕士生导师-南京航空航天大学-计算机科学与技术学院/人工智能学院-个人资料

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)
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江苏省特色化软件人才培养专委会委员

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