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电子科技大学生命科学与技术学院 院长 School of Life Science and Technology, University of Electronic Science and Technology of China
教授 Professor
陈华富,电子科技大学生命科学与技术学院院长,长江学者特聘教授,国家杰出青年基金获得者。2020-2022年爱思唯尔中国高被引学者,中国区神经科学领域全球2%顶尖科学家。四川天府万人计划“天府创新领军人才”,四川省教书育人名师,四川省学术技术带头人,中国图像图形学会理事、视觉认知与计算专业委员会副主任委员,电子科技大学神经信息教育部重点实验室副主任,高场磁共振成像四川省重点实验室执行副主任。主要从事磁共振脑影像数据模式识别的人工智能与机器学习方法研究、神经与精神疾病影像机制研究,探测疾病的典型影像学特征,为临床诊断和评估提供影像学依据。主持了4项国家自然基金重点和多项科技部项目等20余项科研项目。作为通信作者在PNAS,Science Advance ,Nature Communications,Cell Reports, Molecular Psychiatry,Brain, Neurology, IEEE Transactions on Medical Imaging 等杂志发表SCI论文300余篇,被SCI引用11000次,获四川省科技进步自然科学类一等奖。
Dean, School of Life Science and Technology, University of Electronic Science and Technology of China, Changjiang Scholar Distinguished Professor of the Ministry of Education,Winner of National Natural Science Fund for Distinguished Young Scholars of China.2020-2022 Elsevier China Highly Cited Scholar, 2% of the world's top scientists in the field of neuroscience in China. Innovative talents and prominent teachers of Teaching and education in Tianfu, Sichuan, Academic technology leader in Sichuan Province, Vice-chairman of the Visual Cognition and Computing Professional Committee and Director of China Society of Image and Graphics,Deputy Director of the Key Laboratory of Neuroinformatics, Ministry of Education, University of Electronic Science and Technology of China, Executive Deputy Director of Sichuan Provincial Key Laboratory of High Field Magnetic Resonance Imaging,He is mainly engaged in the research of artificial intelligence and machine learning methods for pattern recognition of magnetic resonance brain image data, the imaging mechanism of neurological and psychiatric diseases, the detection of typical imaging features of diseases, and the provision of imaging basis for clinical diagnosis and evaluation. He has presided over more than 20 scientific research projects, including 4 key projects of the National Natural Science Foundation of China and a number of projects of the Ministry of Science and Technology. As a corresponding author, he has published more than 300 SCI papers in journals such as PNAS, Science Advance, Nature Communications, Cell Reports, Molecular Psychiatry, Brain, Neurology, IEEE Transactions on Medical Imaging, etc., and has been cited by SCI 11,000 times. He won the first prize of Sichuan Province Science and Technology Progress Natural Science Category.
报告题目:
精神疾病脑影像模式识别与影像表征
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陈华富,电子科技大学生命科学与技术学院院长,长江学者特聘教授,国家杰出青年基金获得者。2020-2022年爱思唯尔中国高被引学者,中国区神经科学领域全球2%顶尖科学家。四川天府万人计划“天府创新领军人才”,四川省教书育人名师,四川省学术技术带头人,中国图像图形学会理事、视觉认知与计算专业委员会副主任委员,电子科技大学神经信息教育部重点实验室副主任,高场磁共振成像四川省重点实验室执行副主任。主要从事磁共振脑影像数据模式识别的人工智能与机器学习方法研究、神经与精神疾病影像机制研究,探测疾病的典型影像学特征,为临床诊断和评估提供影像学依据。主持了4项国家自然基金重点和多项科技部项目等20余项科研项目。作为通信作者在PNAS,Science Advance ,Nature Communications,Cell Reports, Molecular Psychiatry,Brain, Neurology, IEEE Transactions on Medical Imaging 等杂志发表SCI论文300余篇,被SCI引用11000次,获四川省科技进步自然科学类一等奖。
Dean, School of Life Science and Technology, University of Electronic Science and Technology of China, Changjiang Scholar Distinguished Professor of the Ministry of Education,Winner of National Natural Science Fund for Distinguished Young Scholars of China.2020-2022 Elsevier China Highly Cited Scholar, 2% of the world's top scientists in the field of neuroscience in China. Innovative talents and prominent teachers of Teaching and education in Tianfu, Sichuan, Academic technology leader in Sichuan Province, Vice-chairman of the Visual Cognition and Computing Professional Committee and Director of China Society of Image and Graphics,Deputy Director of the Key Laboratory of Neuroinformatics, Ministry of Education, University of Electronic Science and Technology of China, Executive Deputy Director of Sichuan Provincial Key Laboratory of High Field Magnetic Resonance Imaging,He is mainly engaged in the research of artificial intelligence and machine learning methods for pattern recognition of magnetic resonance brain image data, the imaging mechanism of neurological and psychiatric diseases, the detection of typical imaging features of diseases, and the provision of imaging basis for clinical diagnosis and evaluation. He has presided over more than 20 scientific research projects, including 4 key projects of the National Natural Science Foundation of China and a number of projects of the Ministry of Science and Technology. As a corresponding author, he has published more than 300 SCI papers in journals such as PNAS, Science Advance, Nature Communications, Cell Reports, Molecular Psychiatry, Brain, Neurology, IEEE Transactions on Medical Imaging, etc., and has been cited by SCI 11,000 times. He won the first prize of Sichuan Province Science and Technology Progress Natural Science Category.
报告题目:
精神疾病脑影像模式识别与影像表征