Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics
New frontiers for AI in prostate MRI
Lectures
1
Can AI for prostate MRI generalise to multiple centres and scanners? - Aarti Shah, Stockbridge / UK
07:00
2
Thin-slice prostate MRI enabled by deep learning image reconstruction - Sebastian Gassenmaier, Tuebingen / DE
07:00
3
Prostate gland segmentation on prostate magnetic resonance images: an AI study using a U-net-based convolutional neural network - Başak Ünverdi, Izmir / TR
07:00
4
Deep learning-based algorithm for prostate cancer detection on multi-vendor MRI scans, with a focus on how annotator variability affects algorithm performance - Gaspard d'Assignies, Paris / FR
07:00
5
Developing a machine learning radiomics-based model to predict clinically significant prostate cancer on multi-parametric MRI - Arrigo Cattabriga, Bologna / IT
07:00
6
Prediction of clinically significant prostate cancer using machine learning models - Ömer Önder, Ankara / TR
07:00
7
Development and validation of an explainable AI-CAD system to predict high-aggressive prostate cancer: a multicentre radiomics study based on biparametric MRI - Katia Rocco, Turin / IT
07:00
8
Prediction of Gleason grade discordance by using machine learning methods - Irem Loc, Istanbul / TR
07:00
9
Moderation - Francesco Giganti, London / UK
00:00