Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics
RPS 2105 - AI in stroke and neurovascular imaging
Lectures
1
Evaluation of automated CT workflow support in acute ischaemic stroke
07:00Sander Temmen, Nijmegen / NL
2
Automated classification of ischemic stroke territory on Diffusion-Weighted MRI: collaboration of human knowledge and deep learning
07:00Ilker Özgür Koska, Izmir / TR
3
Generalisability of academically successful algorithms in stroke lesion segmentation
07:00Silvia Ingala, Copenaghen / DK
4
iSPAN: improved prediction of outcomes post thrombectomy with machine learning
07:00Brendan S Kelly, Dublin / IE
5
Predicting acute stroke occurrence based on weather systems to improve clinical resource allocation: a machine learning approach
07:00Máté Elöd Maros, Mannheim / DE
6
Automated MR carotid vessel wall segmentation with sparse annotation
07:00Feng Shi, Shanghai / CN
7
A study of plaque detection by CNN-based model on carotid CTA images
07:00Weixin Xu, Beijing / CN
8
Automated carotid artery segmentation learned from diameter annotations
07:00Robin Camarasa, Rotterdam / NL
9
Performance of an AI-based automated identification of intracranial haemorrhage in real clinical practice
07:00Angela Ayobi, La Ciotat / FR
10
Improving haemorrhage detection in sparse-view CTs via deep learning
07:00Johannes Benedikt Thalhammer, Munich / DE
11
Clinical outcome prediction in paediatric traumatic brain injuries using multiparametric artificial neural networks based on CT findings, GCS score, blood glucose, and Hb levels
07:00Vasantha Kumar Venugopal, New Delhi / IN
12
Moderation
00:00Sotirios Bisdas, London / UK