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Intra- and intersubject synthesis of cardiac MR images using a VAE and GAN

Author:Sina Amirrajab Cristian Lorenz Jürgen Weese Josien Pluim Marcel Breeuwer

Session Type:Digital Poster

Session Date:Tuesday, 10 May 2022

Topic:Module 18: Cardiac

Session Name:Cardiac Anatomy & Tissue Characterization VI

Program Number:1838

Room Session:Exhibition Hall:S8 & S9

Institution:Eindhoven University of Technology Philips Research Laboratories Philips Healthcare

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Late feature fusion and GAN-based augmentation for generalizable cardiac MRI segmentation

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

Session Type:Digital Poster

Session Date:Tuesday, 10 May 2022

Topic:Module 18: Cardiac

Session Name:Cardiac Anatomy & Tissue Characterization V

Program Number:1755

Room Session:Exhibition Hall:S8 & S9

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

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Reducing the impact of texture on deep-learning brain tissue segmentation networks trained with simulated MR images

Author:Yasmina Al Khalil Aymen Ayaz Cristian Lorenz Jürgen Weese Josien Pluim Marcel Breeuwer

Session Type:Digital Poster

Session Date:Wednesday, 11 May 2022

Topic:Module 22: Processing & Analysis

Session Name:Processing & Analysis: Segmentation I

Program Number:2157

Room Session:Exhibition Hall:S8 & S9

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

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sim2real: Cardiac MR image simulation-to-real translation via unsupervised GANs

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

Session Type:Digital Poster

Session Date:Tuesday, 10 May 2022

Topic:Module 18: Cardiac

Session Name:Cardiac Anatomy & Tissue Characterization V

Program Number:1762

Room Session:Exhibition Hall:S8 & S9

Institution:Eindhoven University of Technology Philips Research Laboratories Philips Healthcare

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Displaying 1 - 4 of 4

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Intra- and intersubject synthesis of cardiac MR images using a VAE and GAN

Late feature fusion and GAN-based augmentation for generalizable cardiac MRI segmentation

Reducing the impact of texture on deep-learning brain tissue segmentation networks trained with simulated MR images

sim2real: Cardiac MR image simulation-to-real translation via unsupervised GANs