DIAG Research Software Engineering

The Research Software Engineering Team is part of the Diagnostic Image Analysis Group at Radboud University Medical Center in Nijmegen, The Netherlands.

We use industry best practices to develop software that enables researchers to rapidly develop novel machine learning algorithms that we can integrate into research workstations for clinical validation.

Automated tumor detection

Software

CIRRUS

CIRRUS is the workstation platform for DIAG

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CIRRUS Lung Screening

This workstation is a highly optimized reading platform that allows fast and standardized reading of lung screening CT scans.

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Grand-challenge.org

The home of challenges in biomedical imaging.

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SOL

RTC Deep Learning's cluster for training and applying automated image analysis tools.

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Members

Anne Mickan

Anne Mickan

Research Software Engineer

Chris van Run

Chris van Run

Research Software Engineer

Harm van Zeeland

Harm van Zeeland

Research Software Engineer

James Meakin

James Meakin

Lead Research Software Engineer

Marco Marra

Marco Marra

Research Software Engineer

Mike Overkamp

Mike Overkamp

Research Software Engineer

Miriam Groeneveld

Miriam Groeneveld

Research Software Engineer

Paul Konstantin Gerke

Paul Konstantin Gerke

Research Software Engineer

Rita Bylsma

Rita Bylsma

System Administrator

Sil van de Leemput

Sil van de Leemput

Research Software Engineer

Sjoerd Kerkstra

Sjoerd Kerkstra

Research Software Engineer