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20182020
most citedA deep learning-based pipeline for error detection and quality control of brain MRI segmentation results

3 citations · 3 across the 1 of their papers we have counts for

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physics.med-ph2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22

Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…

physics.med-ph2018

AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks

Gustav Mårtensson, Daniel Ferreira, Lena Cavallin +4

Quantifying the degree of atrophy is done clinically by neuroradiologists following established visual rating scales. For these assessments to be reliable the rater requires substa…