output
20182025
most citedThe reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

179 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.CV2025★ 2 cited

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results

Meritxell Riera-Marin, Sikha O K, Julia Rodriguez-Comas +29

Deep learning (DL) has become the dominant approach for medical image segmentation, yet ensuring the reliability and clinical applicability of these models requires addressing key…

eess.IV2021★ 20 cited

Domain generalization in deep learning for contrast-enhanced imaging

Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla +5

The domain generalization problem has been widely investigated in deep learning for non-contrast imaging over the last years, but it received limited attention for contrast-enhance…

physics.med-ph2019★ 179 cited

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…

math.NA2018★ 43 cited

A computational model of open-irrigated radiofrequency catheter ablation accounting for mechanical properties of the cardiac tissue

Argyrios Petras, Massimiliano Leoni, Jose M. Guerra +2

Radiofrequency catheter ablation (RFCA) is an effective treatment for cardiac arrhythmias. Although generally safe, it is not completely exempt from the risk of complications. The…