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Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.

S. Amirrajab, Y. Khalil, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. Comput. Medical Imaging Graph., (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mercede Sina

Klinisch-genetische Analyse bei familiärem PankreaskarzinomM. Sina. Uni Düsseldorf, (2009)

Eduard Sina

Sara-Rotraut Fatima Sina-Moria

Ekkehard Sinagowitz

Sokratis Sinanis

Other publications of authors with the same name

Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation.D. Lustermans, S. Amirrajab, M. Veta, M. Breeuwer, and C. Scannell. CoRR, (2021)sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs.S. Amirrajab, Y. Khalil, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. CoRR, (2022)A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.J. Merkofer, D. van de Sande, S. Amirrajab, G. Drenthen, M. Veta, J. Jansen, M. Breeuwer, and R. van Sloun. CoRR, (2023)Histogram- and Diffusion-Based Medical Out-of-Distribution Detection.E. Huijben, S. Amirrajab, and J. Pluim. CoRR, (2023)Optimized automated cardiac MR scar quantification with GAN-based data augmentation.D. Lustermans, S. Amirrajab, M. Veta, M. Breeuwer, and C. Scannell. Comput. Methods Programs Biomed., (2022)Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs.S. Amirrajab, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. SASHIMI@MICCAI, volume 13570 of Lecture Notes in Computer Science, page 34-42. Springer, (2022)Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.S. Amirrajab, Y. Khalil, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. Comput. Medical Imaging Graph., (2022)On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images.Y. Khalil, S. Amirrajab, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. Medical Image Anal., (2023)4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model.S. Abbasi-Sureshjani, S. Amirrajab, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. MIDL, volume 121 of Proceedings of Machine Learning Research, page 6-18. PMLR, (2020)A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast.S. Amirrajab, Y. Khalil, C. Lorenz, J. Weese, J. Pluim, and M. Breeuwer. IEEE Trans. Medical Imaging, 42 (3): 726-738 (March 2023)

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Disambiguation of "Amirrajab, Sina"

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Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.

Please choose a person to relate this publication to

Mercede Sina

Eduard Sina

Sara-Rotraut Fatima Sina-Moria

Ekkehard Sinagowitz

Sokratis Sinanis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Amirrajab, Sina"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.

Please choose a person to relate this publication to

Mercede Sina

Eduard Sina

Sara-Rotraut Fatima Sina-Moria

Ekkehard Sinagowitz

Sokratis Sinanis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.