27th ISMRM Annual Meeting • 11-16 May 2019 • Montréal, QC, Canada

Plenary Session
Machine Learning: From Basics to the Clinic

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Machine Learning: From Basics to the Clinic
Plenary Session

This session's recording is available to the public below.
Includes NIBIB New Horizons Lecture.

ORGANIZERS: Ivana Drobnjak, Jongho Lee, Tim Leiner, Bernd Wintersperger
Tuesday, 14 May 2019
Plenary Hall - Room 517  11:00 - 12:00 Moderators:  Ivana Drobnjak, Tim Leiner

Session Number: P-02

Machine Learning (ML) offers great opportunities to improve medical practice and affects all phases of MR imaging (workflow, acquisition, reconstruction, data processing, interpretation and report generation). This plenary session aims to not only provide an overview of the role of ML in medical imaging, but specifically educate participants about the requirements needed for a successful clinical implementation of ML and its potentials in disrupting clinical practice/workflow and further push scientific discovery.

Target Audience

Educational Objectives
As a result of attending this course, participants should be able to:
-Recognize that machine learning impacts all facets of the MR imaging chain, including image acquisition, reconstruction, analysis and interpretation
-Identify what is required from a technical and regulatory perspective to translate machine learning algorithms to a clinical environment
-Illustrate the synergistic opportunities of machine learning to advance scientific discovery over existing methods

  Machine Learning in Medical Imaging
Jong Chul Ye
  Machine Learning in Clinical Practice
Bradley Erickson
  How Machine Learning can Supercharge Scientific Discovery
Tal Arbel
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The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.