qurAI

Our NEWS

November 26, 2019

New publication of the Eye Lab in Acta Ophthalmologica

Our paper ‘Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration’, by González-Gonzalo et al, has been […]
October 4, 2019

CORR Symposium 2019

Clarisa Sánchez presented at the Ophthalmic Imaging Symposium organized by Combined Ophthalmic Research Rotterdam (CORR) on 4th October 2019. She presented an overview of Artificial Intelligence […]
September 1, 2019

The QIA group moves to Amsterdam UMC – location AMC!

Following the appointment of Ivana Išgum as University professor at the University of Amsterdam, the QIA group has moved to the Amsterdam UMC. We are very […]
July 10, 2019

Oral presentation by the Eye Lab at MIDL 2019

Bart Liefers presented his work at the international conference on Medical Imaging with Deep Learning (MIDL) 2019 in London, during the “Structured output” oral session. His […]
May 29, 2019

Final meeting AMI project

Last week, the final meeting of the Automation in Medical Imaging (AMI)-project took place at the Radiology department of Radboud University Medical Center. The AMI-project was a close […]
May 9, 2019

Nadieh Khalili receives magna cum laude at ISMRM 2019

Nadieh receives a Magna cum laude award at the Annual Meeting of the International Society for Magnetic Resonance in Medicine 2019 for her work on Brain tissue […]
May 2, 2019

Eye Lab at ARVO 2019

Bart Liefers, Cristina González-Gonzalo and Harm van Zeeland presented their work during the corresponding Poster Sessions at the Association for Research in Vision and Ophthalmology (ARVO) […]
January 20, 2019

Editorial in JACC: Cardiovascular Imaging and report in tctMD

JACC: Cardiovascular Imaging published a nice editorial and tctMD an article on our recent paper on sex differences in arterial calcification in heavy smokers.
November 26, 2018

AuntMinnie reports about our work on significant coronary artery disease

AuntMinnie reports about Robbert van Hamersvelt’s work on how deep learning can help diagnosing significant coronary artery disease.