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实验室成员介绍

金雷

  • 复旦大学附属华山医院，神经外科
  • 美国北卡罗莱纳大学（UNC）教堂山分校，访问学者

个人简介

金雷，复旦大学外科学博士，澳大利亚拉筹伯大学生物医学工程学士，现任复旦大学附属华山医院神经外科助理研究员。拥有生物医学和外科博士双重背景，近10年时间紧密结合科研与临床，专攻人工智能算法在神经外科领域的研究，围绕“脑肿瘤的智能诊疗”开展了一系列的算法与临床研究。通过深度学习算法，构建了“基于影像组学的预后分析模型”，研发了“人工智能神经病理辅助诊断系统”。同时，借助临床工作优势，开展多中心临床试验，验证算法在真实临床工作中的有效性，实现从“临床”到“科研”，从“科研”到“临床”的转化。迄今为止，申请人以第一作者/通讯作者（含共同）身份在Neuro-oncology、IEEE TMI等杂志发表本研究相关论文6篇，申请专利1项（202110702007.8），并联合合作企业获得医疗器械注册证（沪械注准20212210574）。

研究方向

人工智能在脑影像、神经病理及神经外科中的应用
医学元宇宙、数字孪生脑

代表性论著

  1. Jin L#, Shi F#, Chun QP, Chen H, Ma YX, Hameed NUF, Wu S, Mei CM, Lu JF, Zhang J, Aibaidula A, Shen DG*, Wu JS*. Artificial Intelligence Neuropathologist for Glioma Classification using Deep Learning on Hematoxylin and Eosin Stained Slide images and Molecular Markers. Neuro-Oncology, 2021, 23(1): 44-52. (IF: 13.029)
  1. Tang ZY#, Xu YY#, Jin L#, Aibaidula A, Lu JF, Jiao ZC, Wu JS*, Zhang H* and Shen DG*. Deep Learning on Imaging Phenotype and Genotype toward Overall Survival Time Prediction for Glioblastoma Patients. IEEE Transactions on Medical Imaging, 2020, 39(6): 2100-2109 (IF: 11.037)
  1. Jin L#, Sun TY#, Liu X#, Cao ZH, Liu Y, Chen H, Ma YX, Zhang J, Zou YP, Liu YC, Shi F*, Shen DG*, Wu JS. A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images. iScience, 2023, 29;26(11):108041 (IF:5.8)
  1. Ma YX#, Shi F#, Sun TP#, Chen H, Cheng HX, Liu XJ, Wu S, Lu JF, Zou YP, Zhang J, Jin L*, Shen DG*, Wu JS*. Histopathological auxiliary system for brain tumour (HAS-Bt) based on weakly supervised learning using a WHO CNS5-style pipeline. J Neuooncol, 2023, 163(1):71-82. (IF:4.506)

  1. Gong FY#, Jin L#, Song QW#, Yang Z, Chen H, Wu JS*. Surgical techniques and function outcome for cingulate gyrus glioma, how we do it. Front Oncol, 2022, 26;12:986387. (IF:5.738)

  2. Jin L#, Wu JS*, Chen GB, Zhou LF. Unforgettable ups and downs of acupuncture anesthesia in China. World Neurosurg, 2017, 102:623-31.(IF:2.210)

  3. Chen L#, Zhang H#, Lu JF#, Thung K, Aibaidula A, Liu LY, Chen SC, Jin L, Wu JS*, Wang Q*, Zhou LF*, Shen DG*. Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Transactions on Medical Imaging, 2018, 37(8): 1775-1787. (IF: 7.816)

  4. Tang ZY#, Xu YY#, Jiao ZC, Lu JF, Jin L, Aibaidula A, Wu JS, Wang Q, Zhang H*, Dinggang Shen*. Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. Med Image Comput Comput Assist Interv, 2019, 11764: 415-422.

  5. Hameed NUF#, Zhao ZH#, Zhang J, Bu LH, Zhou YY, Jin L, Bai HM, Li WP, Tang J, Lu JF*, Wu JS*, Mao Y*. A Novel Intraoperative Brain Mapping Integrated Task-Presentation Platform. Operative Neurosurg, 2021, doi: 10.1093/ons/opaa476. (IF: 1.886)

  6. Wang P#, Zhao ZH#, Bu LH, Kudulaiti N, Shan Q, Zhou YY, Hameed NUF, Zhu YM, Jin L, Zhang J, Lu JF*, Wu JS*. Clinical applications of neurolinguistics in neurosurgery. Front Med, 2021, doi: 10.1007/s11684-020-0771-z. (IF:4.592)

  7. Tang ZY#, Xu YY#, Jiao ZC, Lu JF, Jin L, Aibaidula A, Wu JS, Wang Q, Zhang H*, Shen DG*. Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. Med Image Comput Comput Assist Interv, 2019:11764:415-422.

  8. 刘熙#，金雷#，吴劲松*。神经外科手术机器人研究进展。中华外科杂志，2023 年11 月第 61 卷第 11 期。