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Addressing the need for less MRI sequence dependent DL-based segmentation methods: model generalization to multi-site and multi-scanner data

Author:Yasmina Al Khalil  Cristian Lorenz  Jürgen Weese  Marcel Breeuwer  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare, MR R&D - Clinical Science  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3560  

Room Live Q&A Session:

Generation of realistic and heterogeneous virtual population of cardiovascular magnetic resonance simulated images

Author:Sina Amirrajab  Yasmina Al Khalil  Cristian Lorenz  Juergen Weese  Marcel Breeuwer  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cardiovascular Techniques  

Session Name:Cardiovascular MRI Techniques & Application 2  

Program Number:2209  

Room Live Q&A Session:

Simulated CMR images can improve the performance and generalization capability of deep learning-based segmentation algorithms

Author:Yasmina Al Khalil  Sina Amirrajab  Cristian Lorenz  Jürgen Weese  Marcel Breeuwer  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare, MR R&D - Clinical Science  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3519  

Room Live Q&A Session: