匡湖林

个人简介 匡湖林，湖南双峰人，男，博士，现为中南大学计算机学院特聘副教授，硕士生导师，数据科学与工程系研究生副主任。担任中国医学图像计算青年研讨会（MICS）委员会委员和中国科学产业化促进会数字健康专委会委员。本硕均毕业于武汉大学电信院。2017年1月博士毕业于香港城市大学电子工程系。2017年1月至2020年12月在加拿大卡尔加里大学做博士后。研究方向为医学图像处理、智慧医疗，计算机视觉、智能交通系统、人工智能。目前已在中科院1区期刊：IEEE transactions on medical imaging，Medical Image Analysis， Radiology， Stroke，IEEE Transactions on Systems Man Cybernetics-Systems，IEEE Transactions on Intelligent Transportation Systems和医学图像处理领域顶级会议MICCAI等上发表SCI论文和国际会议论文60余篇，其中一作\通讯SCI 30篇。入选2022年湖南省湖湘青年英才（荷尖）人才计划，主持国家自然科学青年基金项目1项、湖南省青年科技人才项目1项；作为项目骨干参与国家重点研发计划1项；核心参与了香港研究资助局项目1项，加拿大国家级项目2项和省部级项目1项。申请国家发明专利10项，已授权5项。 招生： 联系方式：hulinkuang[at]csu[dot]edu[dot]cn 每年可招收3名硕士研究生。经费充足。招生名额有限，优先考虑有编程经验和态度端正的学生。 同时也欢迎对医学图像处理、智慧医疗、计算机视觉、人工智能感兴趣的本科生加入我的团队。 研究方向： [1]医学图像处理和智慧医疗：智能疾病辅助诊断，疗效预测，医学图像分割和分类 [2]计算机视觉：目标检测，图像增强，图像去噪 [3]人工智能：深度学习、机器学习 [4]智能交通系统：夜间车辆检测，交通图像增强 researchgate主页：https://www.researchgate.net/profile/Hulin-Kuang 谷歌学术主页：https://scholar.google.com/citations?user=cMoIf18AAAAJ&hl=zh-CN 部分论文列表： 医学影像分析：  Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu*, Jianxin Wang*, Hybrid CNN-Transformer Network with Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-contrast CT Scans, IEEE Transactions on Medical Imaging, 2024. (SCI, IF= 10.6, 中科院TOP期刊,在线发表) Hulin Kuang, Yahui Wang, et al., BEA-Net: Body and Edge Aware Network with Multi-Scale Short-Term Concatenation for Medical Image Segmentation, IEEE Journal of Biomedical and Health Informatics，2023 （SCI，中科院1区top） Jianhong Cheng, Hulin Kuang*, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang，DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis，Future Generation Computer Systems，2022.（SCI，中科院小类1区，Top期刊） Jianhong Cheng，Jin Liu，Hulin Kuang，Jianxin Wang，A Fully Automated Multimodal MRI-based Multi-task Learning for Glioma Segmentation and IDH Genotyping，IEEE transactions on medical imaging，2022. （SCI，中科院1区） Hulin Kuang et al., BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation, BIBM2021,2021 (CCF B类会议) Jianhong Cheng, Min Gao, Jin Liu，Hulin Kuang，Jianxin Wang et al.，Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading，IEEE Journal of Biomedical and Health Informatics，2021 （SCI，中科院1区top） Hulin Kuang, Bijoy K. Menon, Sung IL Sohn, Wu Qiu*, “EIS-Net: segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke”, Medical Image Analysis, 70, 101984, 2021. (SCI, 中科院1区) Hulin Kuang, Wu Qiu*, Anna M. Boers, Scott Brown, Keith Muir, Charles B.L.M. Majoie, Diederik W.J. Dippel, Phil White, Jonathan Epstein, Peter J. Mitchell, Antoni Dávalos, Serge Bracard, Bruce Campbell, Jeffrey L. Saver, Tudor G. Jovin, Marta Rubiera, Alexander V. Khaw, Jai J. Shankar, Enrico Fainardi, Michael D. Hill, Andrew M. Demchuk, Mayank Goyal, Bijoy K. Menon*, PRoveIT and HERMES Collaborators, “Computed tomography perfusion–based machine learning model better predicts follow-up infarction in patients with acute ischemic stroke”, Stroke, 52(1), 223-231, 2021. (SCI, 中科院1区) Wu Qiu#, Hulin Kuang#, Ericka Teleg, Johanna M. Ospel, Sung Il Sohn, Mohammed Almekhlafi, Mayank Goyal, Michael D. Hill, Andrew M. Demchuk, Bijoy K. Menon*, “Machine learning for detecting early infarction in acute stroke with non–contrast-enhanced CT”, Radiology, 294 (3), 638-644, 2020. (SCI, 中科院1区,  #代表共同一作) Hulin Kuang#, Wu Qiu#, Mohamed Najm, Dar Dowlatshahi, Robert Mikulik, Alex Y. Poppe, Josep Puig, Mar Castellanos, Sung I Sohn, Seong H. Ahn, Ana Calleja, Albert Jin, Talip Asil, Negar Asdaghi, Thalia S. Field, Shelagh Coutts, Michael D. Hill, Andrew M. Demchuk, Mayank Goyal, Bijoy K. Menon*, INTERRSeCT Collaborators, “Validation of an automated ASPECTS method on non-contrast CT scans of acute ischemic stroke patients”, International Journal of Stroke, 15 (5), 528-534, 2020. (SCI,  #代表共同一作) Hulin Kuang, Mohamed Najm, Debabrata Chakraborty, Nicholas Maraj, Sung I. Sohn, Mayank Goyal, Michael D. Hill, Andrew M. Demchuk, Bijoy K. Menon, Wu Qiu*, “Automated aspects on noncontrast CT scans in patients with acute ischemic stroke using machine learning”, American Journal of Neuroradiology, 40(1), 33-38, 2019. (SCI) Hulin Kuang, Bijoy K. Menon, Wu Qiu*, “Semi-automated infarct segmentation from follow-up noncontrast CT scans in patients with acute ischemic stroke”, Medical Physics, 46(9), 4037-4045, 2019. (SCI) Hulin Kuang, Bijoy K. Menon, Wu Qiu*, “Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network”, Physics in Medicine and Biology, 65(21), 215013, 2020. (SCI) Hulin Kuang, Bijoy K. Menon, Wu Qiu*, “Automated infarct segmentation from follow-up non-contrast CT scans in patients with acute ischemic stroke using dense multi-path contextual generative adversarial network”, in Proc. of 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2019), 2019, pp. 856-863.（医学影像分析顶级国际会议） Hulin Kuang, Mohamed Najm, Bijoy K. Menon, Wu Qiu*, “Joint segmentation of intracerebral hemorrhage and infarct from non-contrast CT images of post-treatment acute ischemic stroke patients”, in Proc. of 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018), 2018, pp.681-688. （医学影像分析顶级国际会议） 智能交通系统： Hulin Kuang, Long Chen, Leanne Lai Hang Chan*, Ray CC Cheung, Hong Yan, “Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection”, IEEE Transactions on Systems Man Cybernetics-Systems, 49(1), 71-80, 2019. (SCI, 中科院1区) Hulin Kuang, Kai-Fu Yang, Long Chen, Yong-Jie Li*, Leanne Lai Hang Chan*, Hong Yan, “Bayes saliency-based object proposal generator for nighttime traffic images”, IEEE Transactions on Intelligent Transportation Systems, 19(3), 814-825, 2018. (SCI, 中科院1区) Hulin Kuang, Xianshi Zhang, Yongjie Li*, Leanne Lai Hang Chan*, and Hong Yan, “Nighttime vehicle detection based on bio-inspired image enhancement and weighted score-level feature fusion”, IEEE Transactions on Intelligent Transportation Systems, 18(4), 927-936, 2017. (SCI, 中科院1区) Hulin Kuang, Long Chen*, Feng Gu, Jiajie Chen, Leanne Lai Hang Chan, and Hong Yan, “Combining region-of-interest extraction and image enhancement for nighttime vehicle detection”, IEEE Intelligent Systems, 31(3), 57-65, 2016. (SCI,) 水果检测： Hulin Kuang*, Leanne Lai Hang Chan, Cairong Liu, and Hong Yan, “Multi-class fruit detection based on image region selection and improved object proposals”, Neurocomputing, 283, 241-255, 2018. (SCI, IF=4.438) 教育经历 [1]   2007.9-2011.6 武汉大学  |  通信工程  |  学士  |  大学本科毕业 [2]   2011.9-2013.6 武汉大学  |  电路与系统  |  硕士  |  硕士研究生毕业 [3]   2013.9-2017.1 香港城市大学 博士  |  博士研究生毕业 工作经历 [1]   2021.1-至今 中南大学  |  计算机学院  |  特聘副教授 [2]   2017.1-2020.12 加拿大卡尔加里大学  |  博士后 研究方向 [1]  医学图像处理：智能辅助诊断，疗效预测，医学图像分割和分类 [2]  计算机视觉：目标检测，图像增强，图像去噪 [3]  人工智能：深度学习、机器学习 [4]  智能交通系统：夜间车辆检测，交通图像增强