赵一天博士,研究员、博导、iMED团队负责人(PI)。先后获国家自然科学基金(优青、面上、青年)、科技部重点研发计划青年科学家项目、浙江省自然科学基金(杰青、重点)、中国科协青年人才托举工程、中国科学科院青促会、宁波市创新个人等项目支持。2013年在英国艾伯瑞斯特维斯大学计算机科学专业获得博士学位。博士毕业后先后在英国利物浦大学和北京理工大学担任博士后和讲师。现兼任IEEE T. Medical Imaging 副编辑(associate editor),MICCAI (2021-2023)的领域主席(area chair)。主要研究方向是医学图像处理、计算机视觉、人工智能及多学科交叉应用研究。近几年围绕精准医疗研究,开展了眼、脑、血管疾病的计算机辅助诊断研究和智能医疗设备研发。在Nature Machine Intelligence, npj Digital Medicine, PAMI, IJCV, TMI, MICCAI, CVPR, ECCV等领域知名期刊和会议发表论文150余篇。
更多个人及团队信息,请访问:https://ytianzhao.github.io/
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Email: yitian.zhao@nimte.ac.cn (求职、求学、合作请联系)
Dr Yitian Zhao [ Google Scholar site] is currently the director and professor of Lab of Intelligent Medical Imaging (iMED) at Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences. His research expertise is ophthalmic medical image processig, vessel structure analysis, eye and brain joint computing. In particular, he is interested in understanding the relation between retinal vascular changes and a wide spectrum of eye / brain diseases (e.g. diabetic retinopathy, malaria retinopathy, tumors, Alzheimer's disease). He also has a contract of honorary lecturer with the Department of Eye and Vision Science, University of Liverpool. He received his BEng, MSc in 2008 and 2009 in UK, respectively. He finished his PhD degree in 3D Image Analysis from Department of Computer Science at Aberystwyth University in 2013. Previously, he was a lecturer at the Beijing Institute of Technology from 2015 to 2017, and worked as a postdoctoral and lecturer in the Department of Eye and Vision Science at University of Liverpool since 2013 to 2015. He is currently also served as an associate editor of IEEE Trans. Medical Imaging, area chair of MICCAI (2021, 2022, 2023), Committee Associate Member of IEEE BISP (2021-2022), editorial board member (speciality with opthalmology) for Scientific Reports (2017-today), Program Co-Chair of ICIMH (2021) and VSIP (2021), Program Committee of AAAI (2021), MICCAI workshop OMIA (2017-today), MIUA (2019), MICAD (2021) and etc.