Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics
RPS 1305 - Opportunistic screening and body composition analysis using AI
Lectures
1
Aortic aneurysm volume and maximum diameter measurements per segment: full automation by artificial intelligence (AI)
07:00Arshid A. Azarine, Paris / FR
2
Deep learning for L3 body composition in paediatric CTs: a feasibility study
07:00Riccardo De Angelis, Brussels / BE
3
Automated deep learning-based segmentation of abdominal adipose tissue on whole-body MRI in a population-based study of adolescents
07:00Tong Wu, Rotterdam / NL
4
MRI-based artificial intelligence (AI) for abdominal adipose tissue segmentation: a meta-analysis
07:00Nikola Andjelic, Sremska Kamenica / RS
5
Abdominal adipose tissue segmentation and fat percentage calculation by using dual-neural network model
07:00Binbin Wen, Shenzhen / CN
6
Concordance between artificial intelligence (AI) computed tomography-based and bioimpedance-based analysis of body composition in a prospective study
07:00Uli Fehrenbach, Berlin / DE
7
Automatically derived CT-based body composition biomarkers correlate with overall survival in non-metastatic and metastatic non-small cell lung cancer patients
07:00René Hosch, Essen / DE
8
AI-based quantification of muscle volume in CT: an evaluation of different field of view
07:00Pablo Borrelli, Göteborg / SE
9
Application of AI-software on CT-images for the evaluation of sarcopenia in patients with genitourinary tumours
07:00Antonella Borrelli, Rome / IT
10
Moderation
00:00Otso Arponen, Tampere / FI