Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
RPS 2105 - Artificial intelligence in breast imaging
Lectures
1
Introduction by the moderator
02:00Jakob Neubauer, Freiburg / DE
2
Safe and effective integration of AI as supporting reader in double reading breast cancer screening
08:00Jonathan Nash, Rowlands Castle / UK
3
Detection and classification of lesions in breast ultrasound using a deep convolutional neural network
08:00Carlotta Ruppert, Zurich / CH
4
Development and validation of an AI-driven mammographic breast density classification tool based on radiologist consensus
08:00Marco Alì, Milan / IT
5
Combining radiomics and deep learning for classification of suspicious lesions on contrast-enhanced mammography images
08:00Manon Beuque, Maastricht / NL
6
On the importance of including unconfirmed cases when assessing the effect of AI on the recall rate in breast cancer screening
08:00Ben Glocker, London / UK
7
Automatic and standardised quality control of digital mammography and tomosynthesis with deep convolutional neural networks
07:00Karol Borkowski, Zürich / CH
8
Virtual abbreviated contrast enhanced MRI for breast cancer diagnostics – initial experience
08:00Andrzej Liebert, Erlangen / DE
9
Post-market real-world data demonstrating use of an AI system as an extra reader to augment breast cancer detection without unnecessary recalls
08:00Jonathan Nash, Rowlands Castle / UK
10
Can a breast-screening AI solution reduce the incidence of interval cancers?
08:00Clarisse de Vries, ABERDEEN / UK
11
Machine-learning radiomics for breast-mass malignancy prediction in contrast-enhanced breast CT
10:00Marco Caballo, Nijmegen / NL
