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)

 

Two PhD researchers started today

OnĀ 1 July 2018 PhD researchers Aymen Ayaz and Sina Amirrajab started their 4-year research project on MRI simulation.

Aymen will focus on MRI simulation of the brain and spine, whereas Sina will focus on MRI simulation of the heart.

More information about the openGTN team can be found here.

Aymen Ayaz PhD Researchers openGTN
Aymen Ayaz
Sina Amirrajab PhD researchers openGTN
Sina Amirrajab

Vacancy: early-stage researcher on MR image segmentation using machine learning

The openGTN project still has 1 vacancy for an early-stage researcher on the development, optimization and validation of MR image segmentation methods using machine learning. The aim is to develop methods that are insensitive to the specific image contrast, and insensitive to patient and scanner variations. Simulated MRI data with ground truth annotations will be used to support the image segmentation research.

The vacancy is meant for persons with an MSc degree not older than 4 years, who have not lived/studied/worked in the Netherlands for more than 12 months in the 3 years before starting employment atĀ Medical Image Analysis group (IMAG/e) of the Eindhoven University of Technology.

Please apply here.

openGTN project logo vacancy