Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
RPS 105 - Artificial intelligence in prostate and retroperitoneal imaging
Lectures
1
Introduction by the moderator
04:00Heinz-Peter Schlemmer, Heidelberg / DE
2
Deep learning-based segmentation for prostate cancer risk assessment in magnetic resonance imaging
08:00Eduardo Pooch, Zaandam / NL
3
Automatic quality control of diffusion magnetic resonance images for prostate cancer in clinical routine
08:00Alexandre Routier, Paris / FR
4
Who is best? Comparing radiologists, radiomics and deep learning for the assessment of renal masses on computed tomography
08:00Sophie Bachanek, Goettingen / DE
5
Deep learning for bone lesion detection in CT TAP
08:00Pawel Mlynarski, Paris / FR
6
Does deep-learning software improve the consistency of PI-RADS scoring amongst radiologists with various levels of expertise?
08:00Deniz Alis, Istanbul / TR
7
Deep learning image reconstruction algorithm improves image quality of abdominal computed tomography: extensive comparison with hybrid iterative reconstruction
08:00Antonella Del Gaudio, Rome,IT / IT
