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