Workshop 1: Basics of AI & Medical Image Segmentation

25.03.2022 - 26.03.2022 [/] 13:00 - 15:00
Referent: 
  • Prof. Dr. Jan Kirschke

  • PD Dr. B. Wiestler

  • Prof. Dr. Julia Schnabel

  • Prof. Dr. Nassir Navab

  • Prof. Dr. Rickmer Braren

  • Prof. Dr. Peter Schüffler

  • Prof. Dr. Christian Wachinger

  • PD Dr. Georgios Kaissis

  • Matthias Keicher, Dipl.-Ing.

  • Tobias Czempiel, MSc

  • Martin Menten, PhD

  • Veronika Zimmer, PhD

  • Kerstin Hammernik, PhD

 

 

 

Veranstaltungsort: 

TranslaTUM, Munich & online

For on-site participation, please register here: Registration – AI for Doctors (ai-for-doctors.com)

Veranstalter: 
Klinikum rechts der Isar
Veranstaltungsdetails: 

We have been one of the first institutions world-wide to focus on the AI education of medical students and postgraduate medical professionals and have previously launched several educational programs and evaluated its results.

Our newly-designed workshops strive to compress the relevant facts and explain them in a comprehensible way for medics. Furthermore, we complement our workshops with exclusive online content on our learning platform.

Participants will earn CME credits and a certificate of attendance from the Technical University of Munich.

We will offer three workshops on medical imaging AI in the first half of 2022, based on the three topics: medical image segmentation, image enhancement and reconstruction and medical decision support.
This workshop covers the basics of AI and medical image segmentation. Two further workshops mentioned above will take place in May and June 2022.

 

Learning goals:

After the workshop, participants will be able to:

  • Define basic principles of Artificial Intelligence
  • Interpret schematic figures of neural networks
  • Describe neural network architectures for different purposes
  • Evaluate main steps for designing and building an AI algorithm
  • Describe pitfalls in medical image segmentation
  • Discuss potentials and current limitations of AI for medical image segmentation in clinical practice

 

Workshop language is English.

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