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
学术工作经验：
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.LiTong, Chen Ning, Wen Yaofeng, Xu Xiang, Ye Cong, Zhang Shaodan, Qian Dahong,Liang Yuanbo, “Differentiation of primary open angle-closure glaucoma andprimary open angle glaucoma based on disc image with a deep learning method”,ARVO 2020, Baltimore, MD, MAY 3-7, 2020
2. JunWang, Xiaorong Chen, Hongbing Lu, Lichi Zhang, Jianfeng Pan, Yong Bao, JinerSu, Dahong Qian, “Feature-shared adaptive-boost deep learning for invasivenessclassification of pulmonary sub-solid nodules in CT images”, MEDICAL PHYSICS
3. ZiJieZhang, KaiBin Lin, ZhaoRui Zuo, DaHong Qian, Dong Huang, JingBo Li, “Prediction for atrial fibrillation recurrence after catheter ablation using anartificial intelligence-assisted coronary sinus electrogram”, AHA2019, AmericanHeart Association, 1101 Arch Street, Philadelphia, PA 19107,2019.11.16-2019.11.18
4. YiSu, Qingchang Tian, Dingyi Pan, Lanlan Hui, Yanni Chen, Qi Zhang, Wei Tian, JieYu, Shen Hu, Yang Gao, Dahong Qian, Tian Xie, Ben Wang, “Antibody-FunctionalMicrosphere-Integrated Filter Chip with Inertial Microflow forSize–Immune-Capturing and Digital Detection of Circulating Tumor Cells”, ACSApplied Materials & Interfaces, 2019.7.30, 43
5. ZenghuiCheng, Jiping Zhang, Naying He, Yan Li, Yaofeng Wen, Hongmin Xu, Rongbiao Tang,Zhijia Jin, Mark Haacke, Fuhua Yan, Dahong Qian, “Radiomic Features of theNigrosome-1 Region of the Substantia Nigra: Using Quantitative SusceptibilityMapping to Assist the Diagnosis of Idiopathic Parkinson’s Disease“, Frontiersin Aging Neuroscience, 6/2019.
6. LixiaLou, Longzhao Yang, Xin Ye, Yan Zhu, Shaoze Wang, Lingling Sun, Dahong Qian,Juan Ye, “A Novel Approach for AutomatedEyelid Measurements in Blepharoptosis Using Digital Image Analysis”, CurrentEye Research, 2019.
7. XinPeng, Dingyi Liu, Yiming Li, Wei Xue, Dahong Qian, “Real-Time Detection ofUreteral Orifice in Urinary Endoscopy Videos Based on Deep Learning”, EMBC2019,Berlin, Germany.
8. ShaozeWang, Hao Zhang, Dahong Qian, “A Semi-supervised Bleeding Detection Method inWireless 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 NoduleDetection in Volumetric Chest CT Scans Using CNNs-based Nodule-Size-AdaptiveDetection and Classification”, IEEE Access, 2019, 7(7): 46033~46044.
10.ZhaoruiZuo, Kun Wang, Libing Gao, Vincent Ho, Hongju Mao, Dahong Qian, “A novelmass-producible capacitive sensor with fully symmetric 3D structure andmicrofluidics for cell detection”, Sensors, 2019, 18(01013).
11.LinZhou, Kun Wang, Hao Sun, Simin Zhao, Xianfeng Chen, Dahong Qian, Hongju Mao,Jianlong Zhao, “Novel Graphene Biosensor Based on the Functionalization ofMultifunctional Nano-bovine Serum Albumin for the Highly Sensitive Detection ofCancer 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 CustomOcular Prosthesis Using 3D Volume DifferenceReconstruction (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 diagnosisbased 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 retinaldiseases with a handheld portable non-mydriatic fundus camera”, BMCOphthalmology, 2017.
15.M.Zhou, K. Jin, S.Wang, J. Ye, D. Qian, ”Color Retinal Image Enhancement Based onLuminosity and Contrast Adjustment”, IEEE Transactions on BiomedicalEngineering, 2017.
16.M.Yang, Y. Li, H. Sun, D. Qian, “A symmetrical radiofrequency-based biosensor forrapid and label-free detection of biomolecule solution”, BioEM2017.
17.WangSZ, Jin K, Lu HT, Cheng CM, Ye J, D. Qian, “Human Visual System-Based FundusImage Quality Assessment of Portable Fundus Camera Photographs”, IEEETransactions on Medical Imaging. 2016;35(4):1046-55.
18.DengC, Sheng Y, Wang SY, Hu W, Diao SX, D. Qian, “A CMOS Smart Temperature Sensorwith Single-Point Calibration Method for Clinical Use”, IEEE Transactions onCircuits 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
联系方式
邮箱地址：dahong.qian@sjtu.edu.cn
办公地址：教三楼南楼407室 Room 407, Med-X Building, Xu Hui Campus
网址：http://bme.sjtu.edu.cn/En/FacultyDetail/41