Course
A Brief History of AI (M1-01)
» Module 1 - Introduction, History, and Basic Technical Foundations
A Brief History of AI (M1-01)
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...
Understanding the AI Language (M1-02)
» Module 1 - Introduction, History, and Basic Technical Foundations
Understanding the AI Language (M1-02)
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)...
Geoffrey Hinton: Public Enemy No. 1? (M1-03)
» Module 1 - Introduction, History, and Basic Technical Foundations
Geoffrey Hinton: Public Enemy No. 1? (M1-03)
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
AI in Radiology and Medicine (M1-04)
» Module 1 - Introduction, History, and Basic Technical Foundations
AI in Radiology and Medicine (M1-04)
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...
Data Curation and Management (M1-05)
» Module 1 - Introduction, History, and Basic Technical Foundations
Data Curation and Management (M1-05)
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...
GPUs, Servers and Infrastructure (M1-06)
» Module 1 - Introduction, History, and Basic Technical Foundations
GPUs, Servers and Infrastructure (M1-06)
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)
Non-deep Machine Learning (M1-07)
» Module 1 - Introduction, History, and Basic Technical Foundations
Non-deep Machine Learning (M1-07)
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...
Basic Principles of Radiomics (M1-08)
» Module 1 - Introduction, History, and Basic Technical Foundations
Basic Principles of Radiomics (M1-08)
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...
Basic Principles of Deep Learning (M1-09)
» Module 1 - Introduction, History, and Basic Technical Foundations
Basic Principles of Deep Learning (M1-09)
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...
Programming Languages and Frameworks (M1-10)
» Module 1 - Introduction, History, and Basic Technical Foundations
Programming Languages and Frameworks (M1-10)
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...

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