Header
AI-Cafe presents: ExaMode: a practical approach towards using machine learning in histopathology
Henning Müller (Professor at the medical faculty of the University of Geneva)
The ExaMode project is funded by the European Commission to work on scalable solutions for AI in histopathology. The project thus follows a practical approach defining use cases, collecting multimodal data from hospitals and and then developing decision support tools. Aspects such as learning from limited data and multimodal learning will be addressed as well as working on aspects of explainability when building systems that are integrated into the clinical workflow.
Henning Müller studied medical informatics at the University of Heidelberg, Germany, then worked at Daimler-Benz research in Portland, OR, USA. From 1998-2002 he worked on his PhD degree in computer vision at the University of Geneva, Switzerland with a research stay at Monash University, Melbourne, Australia. Since 2002, Henning has been working for the medical informatics service at the University Hospital of Geneva. Since 2007, he has been a full professor at the HES-SO Valais and since 2011 he is responsible for the eHealth unit of the school. Since 2014, he is also professor at the medical faculty of the University of Geneva. In 2015/2016 he was on sabbatical at the Martinos Center, part of Harvard Medical School in Boston, MA, USA to focus on research activities. Henning is coordinator of the ExaMode EU project, was coordinator of the Khresmoi EU project, scientific coordinator of the VISCERAL EU project. Since early 2020 he is also a member of the Swiss National Research Council.