Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
RPS 2305b - Artificial intelligence in abdominal imaging
Lectures
1
Introduction by the moderator
02:00Elisabeth G. Klompenhouwer, Amsterdam / NL
2
Artificial intelligence support system to improve the diagnostic accuracy of radiologist in differentiating colon carcinoma and diverticulitis in computed tomography
08:00Sebastian Ziegelmayer, München / DE
3
Predicting the progression of branch-duct intraductal papillary mucinous neoplasms using a DenseNet
08:00Manuel Debić, Heidelberg / DE
4
External validation of A CT-based radiomics model for prediction of local tumour progression after thermal ablation In colorectal liver metastases
08:00Denise van der Reijd, Amsterdam / NL
5
Deep learning for automatic detection of the main pancreatic duct dilatation
08:00Clément Abi Nader, Paris / FR
6
Are we there yet? The value of deep learning in a multicentre-setting for response prediction of locally advanced rectal cancer to neoadjuvant chemoradiotherapy
08:00Barbara Wichtmann, Bonn / DE
7
EOB-MR based radiomics analysis to assess clinical outcomes following liver resection in colorectal liver metastases
08:00Federica Dell’Aversana, Naples / IT
