Learning goals:

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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.

Dates:            Friday, 25th March 2022 & Saturday 26th March 2022

Location:        TranslaTUM, Munich & online

Scientific program:

Friday, 25th March 2022

13:00 – 13:15Welcome & Introduction
13:15 – 14:00Introduction to Artificial Intelligence in Medical ImagingDaniel Rückert
14:00 – 15:00From Machine Learning to Neural NetworksMatthias Keicher
15:30 – 16:30Basics of Convolutional Neural NetworksMartin Menten
16:30 – 17:15How to design and build an AI algorithm for Medical ImagingTobias Czempiel
17:30 – 18:15Keynote: AI and the Future of RadiologyJulia Schnabel
18:30 – 20:00Social Event @TranslaTUM

Saturday, 26 March 2022

09:00 – 09:45Segmentation in Medical Imaging: From image-wise to voxel-wise prediction.Veronika Zimmer
09:45 – 10:30Segmentation in Medical Imaging: Evaluation measures and pitfallsVeronika Zimmer & Anne Rickmann
11:00 – 11:45State of the art brain segmentation using Deep LearningChristian Wachinger
11:45 – 12:30Applications of image segmentation (I): OncologyRickmer Braren
13:30 – 14:15Applications of image segmentation (II): NeuroradiologyDennis Hedderich
14:15 – 15:00Applications of image segmentation (III): PathologyTingying Peng