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

RPS 1805 - Recent developments and implementations strategies for AI

Lectures

1
Democratising AI: specialty society support for multicentre research and model validation in Artificial Intelligence

Democratising AI: specialty society support for multicentre research and model validation in Artificial Intelligence

07:00Bibb Allen, Birmingham / US

2
AI-based method for detection of mislabelled CT studies in clinical trials

AI-based method for detection of mislabelled CT studies in clinical trials

07:00Lars Edenbrandt, Lund / SE

3
Potential risk of off-label use of commercially available AI-based software for radiology

Potential risk of off-label use of commercially available AI-based software for radiology

07:00Kicky Gerhilde van Leeuwen, de Bilt / NL

4
Leveraging the Clinical Production PACS Platform for AI algorithm evaluation and retraining – preliminary work

Leveraging the Clinical Production PACS Platform for AI algorithm evaluation and retraining – preliminary work

07:00Panagiotis Korfiatis, Rochester / US

5
Lifelong nnU-Net: a framework for standardised medical continual learning

Lifelong nnU-Net: a framework for standardised medical continual learning

07:00Camila Gonzalez, Darmstadt / DE

6
Evaluation of a generic registration algorithm for lesion matching in follow-up CT

Evaluation of a generic registration algorithm for lesion matching in follow-up CT

07:00Jan Hendrik Moltz, Bremen / DE

7
Improving scalability of semi-automated medical segmentations using uncertainty estimations

Improving scalability of semi-automated medical segmentations using uncertainty estimations

07:00Luis Miguel Nunez, Oxford / UK

8
Semi-supervised learning method for abdominal multi-organ segmentation

Semi-supervised learning method for abdominal multi-organ segmentation

07:00Weixin Xu, Beijing / CN

9
A study in contrasts: validating the optimal MRI contrast phase for deep learning liver segmentation

A study in contrasts: validating the optimal MRI contrast phase for deep learning liver segmentation

07:00Moritz Gross, Berlin / DE

10
Fully automated liver segmentation for liver volumetry and extraction of imaging biomarkers: a study with internal and external validation

Fully automated liver segmentation for liver volumetry and extraction of imaging biomarkers: a study with internal and external validation

07:00Moritz Gross, Berlin / DE

11
Organ Finder - a new AI-based organ segmentation tool for CT

Organ Finder - a new AI-based organ segmentation tool for CT

07:00Lars Edenbrandt, Lund / SE

12
Validation of a deep learning neuroblastoma detection and segmentation tool in MR images

Validation of a deep learning neuroblastoma detection and segmentation tool in MR images

07:00Diana Veiga Canuto, Torrent / ES

13
Moderation

Moderation

00:00Peter M. A. Van Ooijen, Groningen / NL

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