ESR Connect

    Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics

    RPS 2505 - New frontiers for AI in prostate MRI

    • ECR 2023
    • 11 Lectures
    • 90 Minutes
    • 10 Speakers

    Lectures

    1
    Can AI for prostate MRI generalise to multiple centres and scanners?

    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

    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

    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

    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

    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

    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

    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

    Prediction of Gleason grade discordance by using machine learning methods

    07:00Irem Loc, Istanbul / TR

    9
    Moderation

    Moderation

    00:00Francesco Giganti, London / UK

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    Tags

      Moderators

      • Francesco Giganti

        London / United Kingdom

      Speakers

      • Aarti Shah

        Stockbridge / United Kingdom

      • Sebastian Gassenmaier

        Tübingen / Germany

      • Başak Ünverdi

        ANKARA / Turkey

      • Gaspard D'Assignies

        Paris / France

      • Arrigo Cattabriga

        Bologna / Italy

      • Ömer Önder

        Ankara / Turkey

      • Katia Rocco

        Turin / Italy

      • Irem Loc

        Istanbul / Turkey