Machine/Deep Learning in MRI-based AD Diagnosis
ID:115 View Protection:ATTENDEE Updated Time:2021-11-05 16:46:53 Hits:1802 Invited speech

Start Time:2021-11-14 17:55(Asia/Shanghai)

Duration:25min

Session:PS1 Plenary Session 1 » CT1Workshop on CT

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Abstract
This talk will introduce our recent machine learning / deep learning work on brain quantification and disease diagnosis, using structural MRI and/or resting-state fMRI, i.e., for early diagnosis of Alzheimer’s Disease (AD). Since brain functional connectivity and the complex brain networks are very informative for investigation of cognitive function and its alterations due to various mental disorders, we have recently developed several advanced machine learning and deep learning frameworks for high-order brain network construction and also learning discriminative features from brain networks for individualized disease diagnosis. Moreover, these tools have been recently integrated into a toolbox for facilitating clinicians and neuroscientists to construct brain networks and conduct network-based analysis/classification. Details of all these methods will be introduced in this talk.
Keywords
Speaker
Dinggang Shen
ShanghaiTech University

Dinggang Shen is Professor and Founding Dean of School of Biomedical Engineering, ShanghaiTech University, and also Co-CEO of United Imaging Intelligence (UII). He is Fellow of IEEE, Fellow of The American Institute for Medical and Biological Engineering (AIMBE), Fellow of The International Association for Pattern Recognition (IAPR), and also Fellow of The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. He was Jeffrey Houpt Distinguished Investigator, and (Tenured) Full Professor in the University of North Carolina at Chapel Hill (UNC-CH), directing The Center of Image Analysis and Informatics, The Image Display, Enhancement, and Analysis (IDEA) Lab, and The Medical Image Analysis Core. His research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 1380 peer-reviewed papers in the international journals and conference proceedings, with H-index 116 and 54000+ citations. He serves as Editor-in-Chief for Frontiers in Radiology, as well as editorial board member for eight international journals. Also, he has served in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society, in 2012-2015, and was General Chair for MICCAI 2019.

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Important Date
  • Conference Date

    Nov 13

    2021

    to

    Nov 14

    2021

  • Sep 30 2021

    Contribution Submission Deadline

  • Nov 14 2021

    Registration deadline

Sponsored By
Medical Physics Branch of Chinese Society of Biomedical Engineering
IEEE Beijing Section
Life Electronics Society of Chinese Institute of Electronics
Organized By
Anhui Biomedical Engineering Society.
University of Science and Technology of China
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