Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Lorenz, Cristian"'
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
We propose a method for synthesizing cardiac magnetic resonance (MR) images with plausible heart pathologies and realistic appearances for the purpose of generating labeled data for the application of supervised deep-learning (DL) training. The image
Externí odkaz:
http://arxiv.org/abs/2209.04223
Autor:
Amirrajab, Sina, Khalil, Yasmina Al, Lorenz, Cristian, Weese, Jurgen, Pluim, Josien, Breeuwer, Marcel
There has been considerable interest in the MR physics-based simulation of a database of virtual cardiac MR images for the development of deep-learning analysis networks. However, the employment of such a database is limited or shows suboptimal perfo
Externí odkaz:
http://arxiv.org/abs/2208.04874
Autor:
Ayaz, Aymen, Boonstoppel, Rien, Lorenz, Cristian, Weese, Juergen, Pluim, Josien, Breeuwer, Marcel
Publikováno v:
In Computers in Biology and Medicine December 2024 183
Autor:
Ayaz, Aymen, Al Khalil, Yasmina, Amirrajab, Sina, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel
Publikováno v:
In Computer Methods and Programs in Biomedicine May 2024 248
Autor:
Polzer, Constanze, Yilmaz, Eren, Meyer, Carsten, Jang, Hyungseok, Jansen, Olav, Lorenz, Cristian, Bürger, Christian, Glüer, Claus-Christian, Sedaghat, Sam
Publikováno v:
In European Journal of Radiology April 2024 173
Autor:
Khalil, Yasmina Al, Ayaz, Aymen, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel
Publikováno v:
In Computerized Medical Imaging and Graphics March 2024 112
Autor:
Amirrajab, Sina, Abbasi-Sureshjani, Samaneh, Khalil, Yasmina Al, Lorenz, Cristian, Weese, Juergen, Pluim, Josien, Breeuwer, Marcel
Generative adversarial networks (GANs) have provided promising data enrichment solutions by synthesizing high-fidelity images. However, generating large sets of labeled images with new anatomical variations remains unexplored. We propose a novel meth
Externí odkaz:
http://arxiv.org/abs/2007.13408
Autor:
Abbasi-Sureshjani, Samaneh, Amirrajab, Sina, Lorenz, Cristian, Weese, Juergen, Pluim, Josien, Breeuwer, Marcel
We propose a hybrid controllable image generation method to synthesize anatomically meaningful 3D+t labeled Cardiac Magnetic Resonance (CMR) images. Our hybrid method takes the mechanistic 4D eXtended CArdiac Torso (XCAT) heart model as the anatomica
Externí odkaz:
http://arxiv.org/abs/2002.07089
Autor:
Al Khalil, Yasmina, Amirrajab, Sina, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel
Publikováno v:
In Computers in Biology and Medicine July 2023 161
Autor:
Al Khalil, Yasmina, Amirrajab, Sina, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel
Publikováno v:
In Medical Image Analysis February 2023 84