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