Machine Learning in Medical Imaging – Current Challenges

The actual practice-changing clinical impact of machine learning in medical imaging has so far been rather modest despite its vast potential. Why is that? Our speaker will cover several major challenges that he considers essential in unlocking the full potential of machine learning in medical imaging, and will present current examples of his ongoing research that address them.

Join us on this virtual event June 29 at 9:30 AM PT / 12:30 PM ET.
Register now at: https://attendee.gotowebinar.com/register/8504416100392260621?source=BV

Guest speaker:
Klaus Maier-Hein, full professor at Heidelberg University.
Klaus is also the Managing Director of Data Science and Digital Oncology at the German Cancer Research Center (DKFZ). He heads the Division of Medical Image Computing at the DKFZ and the Pattern Analysis and Learning Group at Heidelberg University Hospital.
After studying computer science at Karlsruhe Institute of Technology and École Polytechnique Fédérale de Lausanne he received his PhD in computer science in 2010 from the University of Heidelberg, followed by postdoctoral work at DKFZ and Harvard Medical School.
His research is focused on deep learning methodology in the context of medical imaging and the development of research software infrastructure for efficient translation of results.

Hosted by:
Moshe Safran, CEO, RSIP Vision USA

To gain your personal access to the talk, make sure to register at: https://attendee.gotowebinar.com/register/8504416100392260621?source=BV