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钱大宏

教授,博士生导师

通讯地址: 徐汇校区Med-X楼南楼407室
电子邮件: dahong.qian@sjtu.edu.cn
个人主页: http://imr.sjtu.edu.cn/en/sz_teachers/3023.html

  • 个人简介

    钱大宏,教授,博士生导师。在国内外的高科技公司有十多年的研发经历。目前从事的研究方向是人工智能软件和硬件在医疗方面广泛的应用。

  • 教育背景

    博士学位,哈佛大学;
    硕士学位,德克萨斯大学奥斯汀分校;
    学士学位,浙江大学

  • 工作经历

    2017至今 上海交通大学,生物医学工程学院教授,医疗机器人研究院智能人机交互中心主任;
    2013 – 2017 浙江大学,转化医学院,教授。

  • 研究方向

    与临床紧密结合的基于人工智能/深度学习的多模态多中心智能辅助诊疗;医疗机器人传感器及其视频识别边缘AI算法及器件;高灵敏度的可穿戴和可植入式微型生物医学传感器及其多维度数据分析。

  • 代表性论文专著

    近年来论文
    1)Li Tong, Chen Ning, Wen Yaofeng, Xu Xiang, Ye Cong, Zhang Shaodan, Qian Dahong, Liang Yuanbo, “Differentiation of primary open angle-closure glaucoma and primary open angle glaucoma based on disc image with a deep learning method”, ARVO 2020, Baltimore, MD, MAY 3-7, 2020
    2)Jun Wang, Xiaorong Chen, Hongbing Lu, Lichi Zhang, Jianfeng Pan, Yong Bao, Jiner Su, Dahong Qian, “Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary sub-solid nodules in CT images”, MEDICAL PHYSICS, Article ID: MP14068, Article DOI: 10.1002/mp.14068, Internal Article ID: 16683940
    3)ZiJie Zhang, KaiBin Lin, ZhaoRui Zuo, DaHong Qian, Dong Huang, JingBo Li, “ Prediction for atrial fibrillation recurrence after catheter ablation using an artificial intelligence-assisted coronary sinus electrogram”, AHA2019, American Heart Association, 1101 Arch Street, Philadelphia, PA 19107, 2019.11.16-2019.11.18
    4)Yi Su, Qingchang Tian, Dingyi Pan, Lanlan Hui, Yanni Chen, Qi Zhang, Wei Tian, Jie Yu, Shen Hu, Yang Gao, Dahong Qian, Tian Xie, Ben Wang, “Antibody-Functional Microsphere-Integrated Filter Chip with Inertial Microflow for Size–Immune-Capturing and Digital Detection of Circulating Tumor Cells”, ACS Applied Materials & Interfaces, 2019.7.30, 43
    5)Zenghui Cheng, Jiping Zhang, Naying He, Yan Li, Yaofeng Wen, Hongmin Xu, Rongbiao Tang, Zhijia Jin, Mark Haacke, Fuhua Yan, Dahong Qian, “Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson’s Disease“, Frontiers in Aging Neuroscience, 6/2019.
    6)Lixia Lou, Longzhao Yang, Xin Ye, Yan Zhu, Shaoze Wang, Lingling Sun, Dahong Qian, Juan Ye, “A Novel Approach for Automated Eyelid Measurements in Blepharoptosis Using Digital Image Analysis”, Current Eye Research, 2019.
    7)Xin Peng, Dingyi Liu, Yiming Li, Wei Xue, Dahong Qian, “Real-Time Detection of Ureteral Orifice in Urinary Endoscopy Videos Based on Deep Learning”, EMBC2019, Berlin, Germany.
    8)Shaoze Wang, Hao Zhang, Dahong Qian, “A Semi-supervised Bleeding Detection Method in Wireless Capsule Endoscopy”, Digestive Disease Week (DDW) 2019, San Diego, CA, USA.
    9)J. Wang, J. Wang, Y. Wen, H. Lu, T. Niu, J. Pan, D. Qian, “Pulmonary Nodule Detection in Volumetric Chest CT Scans Using CNNs-based Nodule-Size-Adaptive Detection and Classification”, IEEE Access, 2019, 7(7): 46033~46044.
    10)Zhaorui Zuo, Kun Wang, Libing Gao, Vincent Ho, Hongju Mao, Dahong Qian, “A novel mass-producible capacitive sensor with fully symmetric 3D structure and microfluidics for cell detection”, Sensors, 2019, 18(01013).
    11)Lin Zhou, Kun Wang, Hao Sun, Simin Zhao, Xianfeng Chen, Dahong Qian, Hongju Mao, Jianlong Zhao, “Novel Graphene Biosensor Based on the Functionalization of Multifunctional Nano-bovine Serum Albumin for the Highly Sensitive Detection of Cancer Biomarkers”, Nano-Micro Letters, 2019.2.20, 250: 13~13.
    12)X. Ye, S. Wang, D. Qian, J. Ye, “Automatic Design and Fabrication of a Custom Ocular Prosthesis Using 3D Volume
Difference Reconstruction (VDR)”, IEEE Access, 2018.1, PP(99): 1~1.
    13)K. Jin, M. Zhou, S. Wang, L. Lou, Y. Xu, J. Ye, D. Qian, “Computer-aided diagnosis based on enhancement of degraded fundus photographs”, Acta Ophthalmology, 2017.11.
    14)K. Jin, H. Lu, Z. Su, C. Cheng, J. Ye, D. Qian, “Telemedicine screening of retinal diseases with a handheld portable non-mydriatic fundus camera”, BMC Ophthalmology, 2017.
    15)M. Zhou, K. Jin, S.Wang, J. Ye, D. Qian, ”Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment”, IEEE Transactions on Biomedical Engineering, 2017.
    16)M. Yang, Y. Li, H. Sun, D. Qian, “A symmetrical radiofrequency-based biosensor for rapid and label-free detection of biomolecule solution”, BioEM2017.
    17)Wang SZ, Jin K, Lu HT, Cheng CM, Ye J, D. Qian, “Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs”, IEEE Transactions on Medical Imaging. 2016;35(4):1046-55.
    18)Deng C, Sheng Y, Wang SY, Hu W, Diao SX, D. Qian, “A CMOS Smart Temperature Sensor with Single-Point Calibration Method for Clinical Use”, IEEE Transactions on Circuits and Systems II-Express Briefs. 2016;63(2):136-40.

  • 教学工作

    本科生课程《智能医疗与创新》;
    研究生课程《人工智能与医学》;
    大学生科创工作室。

  • 学术兼职

    上海交通大学医学院附属瑞金医院核医学科“广慈”双聘教授

友情链接
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医疗机器人研究院