Keelin Murphy

Keelin Murphy is Assistant Professor at the Diagnostic Image Analysis Group in Radboud University Medical Center. Her research interests are in AI for low-cost imaging modalities with a focus on applications for low and middle income countries. This includes chest X-ray applications for detection of tuberculosis and other abnormalities, as well as ultrasound AI for applications including prenatal screening.

Keelin obtained a bachelor's degree in Mathematics from Trinity College, Dublin, Ireland and MSc and Phd qualifications in Medical Image Analysis from University Medical Center, Utrecht the Netherlands. Her PhD work focused on automated analysis of chest CT images. She worked for several years as a postdoctoral researcher at University College Cork, Ireland on the analysis of neonatal MRI and EEG before joining the Diagnostic Image Analysis Group at Radboud UMC.

Current research projects:

• 2D Plane Detection in 3D prenatal ultrasound
• BabyChecker: AI for low-cost prenatal ultrasound
• PARADIGM: The diagnostic potential of 3D ultrasound with AI in maternity care

Finished research projects:

• MistraL: Mitigation Strategies for COVID-19 transmission in Lesotho Using AI on Chest X-rays and Novel Rapid Diagnostic Tests

Member of:

• Diagnostic Image Analysis Group