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

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

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

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

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

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

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

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

Prediction of Gleason grade discordance by using machine learning methods - Irem Loc, Istanbul / TR

07:00

9
Moderation - Francesco Giganti, London / UK

Moderation - Francesco Giganti, London / UK

00:00