| Course | |||||
|---|---|---|---|---|---|
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"A Brief History of AI"
Elmar Kotter
University of Freiburg, Germany
Learning objectives:
• Develop an understanding on the origins of AI and machine learning (ML)
• Build knowledge on important people... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Understanding the AI Language"
Julius Heidenreich
University Hospital Würzburg, Department of Diagnostic and Interventional Radiology, Germany
Learning objectives:
• Learn basic AI and machine learning (ML)... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Geoffrey Hinton: Public Enemy No. 1?"
Laure Fournier
University Paris Cité, Assistance Publique-Hôpitaux de Paris, France
Learning objectives:
•Critical assessment of the AI hype | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"AI in Radiology and Medicine"
Wiro Niessen
Erasmus University Rotterdam, The Netherlands
Delft University of Technology, The Netherlands
Learning objectives:
• Gain an understanding about traditional... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Data Curation and Management"
Martin Willemink
Stanford University, United States of America
Segmed Inc.
Learning objectives:
• Grasp the various data formats in radiology
• Learn how to link labels to... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"GPUs, Servers and Infrastructure"
Felix Nensa
Institute for Diagnostic and Interventional Radiology and Neuroradiology, Germany
Learning objectives:
• Know about the hardware involved in deep learning (DL) | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Non-deep Machine Learning"
Sergios Gatidis
Max-Planck Institute for Intelligent Systems, Germany
Learning objectives:
• Learn about classical AI methods
• Determine the differences between classical AI and... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Basic Principles of Radiomics"
Nikolaos Papanikolaou
Research Group Leader, Champalimaud Research Lisbon, Portugal
Machine Learning Imaging Lead AI Hub, Royal Marsden Hospital London, United Kingdom
Learning... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Basic Principles of Deep Learning"
Bram van Ginneken
Radboud University Medical Center Nijmegen, The Netherlands
Learning objectives:
• Learn about nodes and layers
• Understand how backward propagation... | ||||
 | » Module 1 - Introduction, History, and Basic Technical Foundations ESR Master Class in AI
"Programming Languages and Frameworks"
Ferran Prados Carrasco
e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
Centre for Medical Image Computing, University College London, London, United... |
