Hongming Xu, Ph.D.

Biosketch

He worked as a Postdoc Fellow in Hwang Lab at Cleveland Clinic between Oct. 2017 and Nov.2020. He received his Ph.D. in Department of Electrical and Computer Engineering at University of Alberta in Edmonton, Canada, July 2017, M.S. and Bachelor's degree in College of Inormation Engineering at Northwest A&F University in Yangling, China, July 2012 and 2009, respectively. His research focuses on artificial intelligence in biomedical imaging fields (particularly Pathology AI), medical image computing, imaging informatics, and machine learning.

Research Grants

Skills and Interests

• Medical Artificial Ingelligence (AI): Machine learning, Deep learning, Transfer learning, Multiple instance learning, Weekly supervised learning, Classification, Clustering, Regression, Survival Analysis

• Computer Vision: Graph neural networks, Convolutional neural networks, Recurrent neural networks, U-Net and other well-knonwn deep learning models

• Digital Image Processing: Image registration, Active contours (snake), Level set, Morphology analysis, Frequency transform, Medical image segmentation and detection, Texture analysis, Graph cut

Honors and Awards

Professional Activities

Journal Reviewer

• IEEE Journal of Biomedical and Health Informatics

• IEEE/ACM Transactions on Computational Biology and Bioinformatics

• IEEE Journal of Translational Engineering in Health and Medicine

• Clinical Cancer Research

• eLife

• Pattern Recognition

• Artificial Intelligence In Medicine

• Computerized Medical Imaging and Graphics

• Scientific Reports

• Computers in Biology and Medicine

• International Journal of Imaging Systems and Technology

• etc.

Conference/Workshop Reviewer

• The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020-present

• TThe IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2017

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