Mehdi Moradi  Mehdi Moradi photo         

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Manager, Image Analysis and Machine Learning Research
IBM Almaden Research Center, San Jose, CA, USA
  +1dash408dash927dash2087

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Brief Bio: Mehdi Moradi is a research staff member and manager at IBM Almaden Research Center. Over the last five years, he has led a deep learning/machine learning team focusing on medical image analysis. He graduated from the School of Computing at Queen's University, Kingston, Ontario, Canada, in 2008. After completing research fellowships at the University of British Columbia (2008-2011) and at Harvard Medical School (2011-2012), he joined the Department of Electrical and Computer Engineering at the University of British Columbia as an assistant professor in 2012 and IBM Research in 2014. In his research, he addresses the difficulties of deep learning in data limited scenarios of medical imaging were datasets are small and annotations are expensive.

For a list of publications, please see my public Google Scholar profile.

I love travelling and photography. Check out my public Instagram feed.

Major Technical Achievements at IBM:

- Led the Almaden DeepEyes team, a general purpose system composed of deep learned models for anomaly detection in medical images
- Led the development of IBM Medical Image Annotation system, a technology for high througput medical image label generation with active learning
- Developed an image to text transform for automatic medical image labeling (MICCAI 2016 paper)
- Award winning paper at MICCAI 2015: "Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets"
Authors: Soheil Hor, Mehdi Moradi. Medical Image Computing and Computer-Assisted Interventions – MICCAI 2015. Volume 9349 of the series Lecture Notes in Computer Science pp 694-701

Recent service to the academic/professional community

At IBM:
Chair, Healthcare Informatics Professional Interest Community (PIC) for Almaden Research Center.

External:

Member, Computer Science Evaluation Committe of Natural Sciences and Engineering Research Council of Canada

Invited speaker: Medical Computer Vision and Health Informatics Workshop (CVPR 2018)

Journal editorship:
Associate Editor
, IEEE Signal Processing Letters

Associate Editor, Medical Physics

Conferences:
Program Committee Member, Machine Learning in Medical Imaging (MLMI 2019)
Program Committee Member, SPIE Medical Imaging, Digital Pathology Meeting, 2017, 2018, 2019, 2020
Co-chair, MICCAI ML-CDS Workshop 2017, 2018

Co-chair, MICCAI ML-CDS Workshop 2016
Program Committee Member, MICCAI 2016
Technical Program Committee, IEEE Canadian Conference on Electrical and Computer Engineering, 2016
Program Committee Member, SPIE Medical Imaging, Digital Pathology Meeting, 2016
Program Committee Member, MICCAI 2015
Program Committee Member, AE-CAI 2015
Program Committee Member, MICCAI 2014
Workshops and Tutorials co-chair, MICCAI 2014
Program Committee Member,
MICCAI 2013


Other:

Member, Computer Science Evaluation Committe of Natural Sciences and Engineering Research Council of Canada
Senior Member, IEEE
Grant Reviewer: Natural Sciences and Engineering Research Council of Canada, Discovery Program (2014, 2015, 2016)
Early Career Scholar, Peter Wall Institute for Advanced Studies, 2013