Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

Artificial intelligence (AI) in prostate imaging

Lectures

1
Introduction by the moderator - Sergey Morozov, Liège / BE

Introduction by the moderator - Sergey Morozov, Liège / BE

04:00

2
Metadata-independent classification of MRI sequences using convolutional neural networks: successful application to prostate MRI - Georg Baumgärtner, Berlin / DE

Metadata-independent classification of MRI sequences using convolutional neural networks: successful application to prostate MRI - Georg Baumgärtner, Berlin / DE

08:00

3
Characterisation of prostate cancer at multiparametric MRI using machine learning: development and assessment of a zone-specific computer-aided diagnosis system - Tristan Jaouen, LYON CEDEX 03 / FR

Characterisation of prostate cancer at multiparametric MRI using machine learning: development and assessment of a zone-specific computer-aided diagnosis system - Tristan Jaouen, LYON CEDEX 03 / FR

08:00

4
Interactive deep-learning-based real-time three-dimensional lesion segmentation from single point seeds in prostate MRI - Adrian Schrader, Heidelberg / DE

Interactive deep-learning-based real-time three-dimensional lesion segmentation from single point seeds in prostate MRI - Adrian Schrader, Heidelberg / DE

08:00

5
AI assisted biparametric MRI surveillance of prostate cancer: feasibility study - Christian Roest, Groningen / NL

AI assisted biparametric MRI surveillance of prostate cancer: feasibility study - Christian Roest, Groningen / NL

08:00

6
Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE imaging - Sebastian Gassenmaier, Tuebingen / DE

Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE imaging - Sebastian Gassenmaier, Tuebingen / DE

08:00