Abstract is missing.
- IntroductionAndrew King, Nicolas Duchateau. 1-10 [doi]
- AI and Machine Learning: The BasicsNicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King. 11-33 [doi]
- From Machine Learning to Deep LearningPierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers. 35-56 [doi]
- Measurement and QuantificationOlivier Bernard 0001, Bram Ruijsink, Thomas Grenier, Mathieu De Craene. 57-84 [doi]
- DiagnosisDaniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis. 85-103 [doi]
- Outcome PredictionBuntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan P. O'Regan, Maxime Sermesant. 105-133 [doi]
- Quality ControlIlkay Öksüz, Alain Lalande, Esther Puyol-Antón. 135-156 [doi]
- AI and Decision SupportMariana A. Nogueira, Bart H. Bijnens. 157-170 [doi]
- AI in the Real WorldAlistair A. Young, Steffen E. Petersen, Pablo Lamata. 171-182 [doi]
- Analysis of Non-imaging DataNicolas Duchateau, Oscar Camara 0001, Rafael Sebastián, Andrew King. 183-200 [doi]
- ConclusionsAndrew King, Nicolas Duchateau. 201-203 [doi]