Projects & Software
Current research projects
Adipose and muscular tissue segmentation
For the department of Health Evidence we are developing an application for the segmentation and quantification of adipose and muscular tissue in non-contrast abdominal CT.
Read more →AI for health
A collaboration between Radboud University and Radboudumc aimed at developing innovations based on artificial intelligence that solve clinical problems.
Read more →AQUILA
The goal of AQUILA is to investigate the prognostic value of Tumor Infiltrating Lymphocytes (TILs) in breast and colon cancer.
Read more →Brain MRI classification
In the context of the “Nationale Wetenschapsagenda” (NWA) roadmap for Value Creation through Responsible Access to and use of Big Data (VWdata) we are collecting data and setting up a challenge for the identification of healthy or abnormal MRI scans of the brain.
Read more →ExaMode
The aim of ExaMode is to collect training data with limited human interaction for the processing of exascale volumes of healthcare data.
Read more →ICH and PHE segmentation
For the CONTRAST consortium and Dutch ICH Surgery Trial (DIST) we are developing an application for the segmentation and quantification of intracerebral hemorrhage and peri-hematomal edema in non-contrast CT.
Read more →Knee segmentation
For the Orthopedics department we are developing an application for the segmentation of the tibia, patella and fibula in non-contrast CT images of the legs.
Read more →Artificial intelligence for lung cancer screening
We aim to improve the efficiency of lung cancer screening by using artificial intelligence.
Read more →Muscle ultrasound classification
For the Neurophysiology department we have developed an algorithm for the identification of abnormal muscle tissue in ultrasound images of the tibialis anterior.
Read more →Software
CIRRUS Lung Screening
This workstation is a highly optimized reading platform that allows fast and standardized reading of lung screening CT scans.
SOL
RTC Deep Learning's cluster for training and applying automated image analysis tools.
Finished projects
AMI
Automation in Medical Imaging - a joint project between DIAG and Fraunhofer MEVIS aimed at the development of a generic platform for automatic medical image analysis.
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