领域：生物产业 学校：上海交通大学职称：教授
与临床紧密结合的基于人工智能/深度学习的医学影像以及其他医学大数据的多模态多中心智能辅助诊疗；医疗机器人传感器及其边缘AI算法及芯片；高灵敏度的可抛弃式微型生物医学传感器及其数据分析；基于软件无线电的超低功耗无线人体局域网。...
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1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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).
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. M. Yang, Y. Li, H. Sun, D. Qian, “A symmetrical radiofrequency-based biosensor for rapid and label-free detection of biomolecule solution”, BioEM2017.
13. 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.
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.
