The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) conference was held 18-22 September 2022 in Singapore. At the conference, the openGTN PhD researchers Yasmina Al Khalil and Sina Amirrajab received two awards from the MICCAI CMRxMotion Challenge. They participated in two tasks: “Robust CMR Segmentation” and “Image Quality Assessment”, ended up 3rd in both! Ample synthesized image data was used to train the deep-learning neural network solutions that they implemented.
at the University Medical Center Utrecht, The Netherlands
2 November 2022
The final public symposium of the Open Ground Truth Training Network (openGTN) project will take place on Wednesday 2 November, hosted by the Fall Meeting of the Dutch Society for Pattern Recognition and Image Processing (NVPHBV). The morning will be fully dedicated to openGTN: exciting new methods of MRI simulation and synthesis and their application to image segmentation will be presented by the involved PhD researchers. Keynote presentation will be given by prof. dr. Sebastian Kozerke from ETH Zurich. In the afternoon, more broader applications of simulation and synthesis will be presented, also outside the medical imaging domain.
You can register for the symposium via the website of the NVPHBV
After a secondment of more than 2 years at Philips Research Hamburg, Germany, PhD researcher Yasmina Al Khalil returned to the Eindhoven University of Technology (TU/e), The Netherlands, to finalize her PhD thesis. The above picture shows the 3 openGTN PhD’s united in their room at TU/e.
Finally, after 2 years of repeated COVID lock-downs and attending online-only conferences, the 3 openGTN PhD researchers Aymen Ayaz, Yasmina Al Khalil and Sina Amirrajab could all attend and present their achievements at the ISMRM 2022 conference. The left picture shows the team at the ISMRM exhibit booth, together with prof. Marcel Breeuwer.
6 abstracts have been accepted for presentation at the coming ISMRM 2022 conference:
S. Amirrajab, C. Lorenz, J. Weese, J. Pluim, M. Breeuwer. “Intra- and intersubject synthesis of cardiac MR images using a VAE and GAN”
S. Amirrajab, Y. Al Khalil, C. Lorenz, J. Weese, J. Pluim, M. Breeuwer. “sim2real: Cardiac MR image simulation-to-real translation via unsupervised GANs”
Y. Al Khalil, A. Ayaz, C. Lorenz, J. Weese, J. Pluim, M. Breeuwer. “Reducing the impact of texture on deep-learning brain tissue segmentation networks trained with simulated MR images”
Y. Al Khalil, S. Amirrajab, C. Lorenz, J. Weese, J. Pluim, M. Breeuwer, “Late feature fusion and GAN-based augmentation for generalizable cardiac MRI segmentation”
A. Ayaz, K. Lukassen, C. Lorenz, J. Weese, M. Breeuwer. “Brain MR image super resolution using simulated data to perform in real-world MRI”
A. Ayaz, R. Jong, S. Abbasi-Sureshjani, S. Amirrajab, C. Lorenz, J. Weese, M. Breeuwer. “3D brain MRI synthesis utilizing 2D SPADE-GAN and 3D CNN architecture”
See also our publication list
We have recently added simulated MRI with pathology to our openGTN public database. Please visit opengtn.eu/database for more information.
The first version of the openGTN public database with simulated and synthesized MRI data will be made available on 31 December 2020. The database will contain cardiac, brain and spine data without pathology. Data with pathology is planned for March 2021. More information about the database can be found here.
The openGTN project is well represented at the MICCAI 2020 conference with one oral presentation and a contribution to the SASHIMI workshop. Details on the publications can be found here.
Four abstracts have been accepted for presentation at the online conference of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), September 30 – October 2, 2020.
The abstract titles can be found here.