With much regret we have to inform you that we have to cancel the openGTN Workshop planned for 27 March 2020. Especially in the province of Noord-Brabant, in which Eindhoven is located, we have a significant outbreak of the Corona virus. As a consequence, Dutch government has recommended to work as much as possible at home and avoid unnecessary contacts. We hope we can reschedule the workshop before Summer 2020, and we hope that you will then still be interested to attend.
Last opportunity to register for the public workshop on “Realism in MRI simulation for deep learning training”, 27 March 2020 at TU/e
The openGTN public workshop on “Realism in MRI simulation for deep learning training” attracts a lot of attention. There are only 10 free seats left! The registration is soon expected to close. More information and a registration form can be found here.
Public workshop “Realistic MR image simulation for deep learning training” on 27 March 2020
The openGTN project organizes its first public workshop on the theme “Realistic magnetic resonance image simulation” on 27 March 2020 at the Eindhoven University of Technology, The Netherlands.
The three openGTN early-stage researchers will present the approaches investigated so far to generate realistic simulated MRI data and will discuss the use of these data to improve deep-learning based MRI segmentation. Thereafter three renowned, invited speakers (prof. Stoecker, prof. Rueckert and prof. Kozerke) will give their view on the subject, from different perspectives. The workshop will close with a discussion about how to make MRI simulations even more realistic.
Workshop attendance is free of charge, but registration is required (note: limited seating available!). More information and a registration form can be found here.
Scientific dissemination started!
The first openGTN project results will be presented at the ISMRM Benelux 2020 scientific conference, 24 January 2020, Arnhem, The Netherlands.
Three presentations will be given:
“Improving the generalization capability of deep learning-based algorithms for ventricular cavity segmentation using simulated cardiac MR images”
(oral presentation by Yasmina Al Khalil)
“Towards generating realistic and heterogeneous cardiac MR simulated image database for deep learning based image segmentation algorithms”
(poster presentation by Sina Amirrajab)
“Pipeline for Simulating Realistic Anatomically Variable Normal Young, Aging and Diseased Brain MRI”
(poster presentation by Aymen Ayaz)
openGTN on Facebook and Twitter
The openGTN project can now also be approached via Facebook and Twitter, see the links in the footer of this website.
openGTN discussion group on LinkedIn
There is now an openGTN discussion group on LinkedIn:
You can request to become member via our contact form
Updated CVs of ESRs
Updated CVs of the involved Early Stage Researchers Aymen Ayaz, Yasmina Al Khalil and Sina Amirrajab have been added to the team page
Privacy policy updated
We have updated our privacy policy, which you can read here.
PhD researcher started October 1st
On October 1st, Yasmina Alkhalil started her 4-year PhD research on MR image contrast independent segmentation. The openGTN PhD team is now complete!
More information about the openGTN team can be found here.
Yasmina Alkhalil
All PhD researchers now selected
The openGTN project is happy to announce that all 3 ESRs have now been selected. ESR1 who will investigate MRI segmentation will start 1 October 2018.