| On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer Medical Image Analysis 84, 102688, 2023 | 41 | 2023 |
| XCAT-GAN for synthesizing 3D consistent labeled cardiac MR images on anatomically variable XCAT phantoms S Amirrajab, S Abbasi-Sureshjani, Y Al Khalil, C Lorenz, J Weese, J Pluim, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 35 | 2020 |
| 4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model S Abbasi-Sureshjani, S Amirrajab, C Lorenz, J Weese, J Pluim, ... Medical Imaging with Deep Learning, 6-18, 2020 | 31 | 2020 |
| Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks S Amirrajab, Y Al Khalil, C Lorenz, J Weese, J Pluim, M Breeuwer Computerized Medical Imaging and Graphics 101, 102123, 2022 | 27 | 2022 |
| Optimized automated cardiac MR scar quantification with GAN‐based data augmentation DR Lustermans, S Amirrajab, M Veta, M Breeuwer, CM Scannell Computer methods and programs in biomedicine 226, 107116, 2022 | 21 | 2022 |
| Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer Computers in Biology and Medicine 161, 106973, 2023 | 17 | 2023 |
| A review of machine learning applications for the proton MR spectroscopy workflow DMJ van de Sande, JP Merkofer, S Amirrajab, M Veta, RJG van Sloun, ... Magnetic Resonance in Medicine 90 (4), 1253-1270, 2023 | 11 | 2023 |
| Late fusion U-Net with GAN-based augmentation for generalizable cardiac MRI segmentation Y Al Khalil, S Amirrajab, J Pluim, M Breeuwer International Workshop on Statistical Atlases and Computational Models of …, 2021 | 10 | 2021 |
| Pathology synthesis of 3d consistent cardiac mr images using 2d vaes and gans S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer International Workshop on Simulation and Synthesis in Medical Imaging, 34-42, 2022 | 9 | 2022 |
| Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology E Kruithof, S Amirrajab, MJM Cluitmans, KD Lau, M Breeuwer Computers in Biology and Medicine 137, 104773, 2021 | 8 | 2021 |
| Heterogeneous virtual population of simulated CMR images for improving the generalization of cardiac segmentation algorithms Y Al Khalil, S Amirrajab, C Lorenz, J Weese, M Breeuwer International workshop on simulation and synthesis in medical imaging, 68-79, 2020 | 7 | 2020 |
| A framework for simulating cardiac MR images with varying anatomy and contrast S Amirrajab, Y Al Khalil, C Lorenz, J Weese, J Pluim, M Breeuwer IEEE Transactions on Medical Imaging 42 (3), 726-738, 2022 | 6 | 2022 |
| Brain MR image simulation for deep learning based medical image analysis networks A Ayaz, Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer Computer Methods and Programs in Biomedicine 248, 108115, 2024 | 4 | 2024 |
| Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time RP Berto, H Bugler, G Dias, M Oliveira, L Ueda, S Dertkigil, PDP Costa, ... Magnetic Resonance Materials in Physics, Biology and Medicine, 1-15, 2024 | 3 | 2024 |
| Cardiac MR image segmentation and quality control in the presence of respiratory motion artifacts using simulated data S Amirrajab, Y Al Khalil, J Pluim, M Breeuwer, CM Scannell International Workshop on Statistical Atlases and Computational Models of …, 2022 | 3 | 2022 |
| A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge JP Merkofer, DMJ van de Sande, S Amirrajab, GS Drenthen, M Veta, ... arXiv preprint arXiv:2306.02984, 2023 | 2 | 2023 |
| Simulated CMR images can improve the performance and generalization capability of deep learning-based segmentation algorithms Y Al Khalil, S Amirrajab, C Lorenz, J Weese, M Breeuwer Proceedings of the 28th Annual Meeting ISMRM, 2020 | 2 | 2020 |
| Towards generating realistic and heterogeneous cardiac magnetic resonance simulated image database for deep learning based image segmentation algorithms S Amirrajab, Y Al Khalil, C Lorenz, J Weese, M Breeuwer | 2 | 2020 |
| Deep learning synthesis of white-blood from dark-blood late gadolinium enhancement cardiac magnetic resonance TJM Jaspers, B Martens, R Crawley, L Jada, S Amirrajab, M Breeuwer, ... Investigative Radiology 59 (11), 767-773, 2024 | 1 | 2024 |
| Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges M Ibrahim, YA Khalil, S Amirrajab, C Sun, M Breeuwer, J Pluim, B Elen, ... arXiv preprint arXiv:2407.00116, 2024 | 1 | 2024 |
Marcel BreeuwerEindhoven University of TechnologyBestätigte E-Mail-Adresse bei tue.nl
