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

cond-mat.mtrl-sci2025★ 5 cited

Comparison of various UHMWPE formulations from contemporary total knee replacements before and after accelerated aging

Petr Fulin, Veronika Gajdosova, Ivana Sloufova +3

We have collected 21 different formulations of ultrahigh molecular weight polyethylene (UHMWPE), which have been employed as liners in contemporary total knee replacements (TKR). T…

q-bio.NC2025

The impact of motor and non-motor symptoms fluctuations on health-related quality of life in people with functional motor disorder

Martin Jirásek, Tomáš Sieger, Gabriela Chaloupková +4

Objective: To assess the effect of overall, between- and within-day subjectively rated fluctuations in motor and non-motor symptoms in people with functional motor disorder (FMD) o…

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…

q-bio.NC2018

Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding

Joos Behncke, Robin Tibor Schirrmeister, Martin Völker +5

When it comes to the classification of brain signals in real-life applications, the training and the prediction data are often described by different distributions. Furthermore, di…