output
20192025
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

5 papers

physics.med-ph2025★ 2 cited

Dual-Input Dynamic Convolution for Positron Range Correction in PET Image Reconstruction

Youness Mellak, Alexandre Bousse, Thibaut Merlin +3

Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like gallium-68 (68 Ga). We introduce Dual-Input Dy…

q-bio.NC2024★ 14 cited

TMS-EEG Reliability: Bridging the Gap to Clinical Use

Giacomo Bertazzoli, Carlo Miniussi, Petro Julkunen +1

Concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG), or TMS-EEG, holds the potential to broaden the clinical applications of TMS beyond its traditio…

cs.LG2023★ 6 cited

aSAGA: Automatic Sleep Analysis with Gray Areas

Matias Rusanen, Gabriel Jouan, Riku Huttunen +10

State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic bla…

eess.IV2023★ 6 cited

MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis

Aysen Degerli, Pekka Jakala, Juha Pajula +2

Stroke is a major cause of mortality and disability worldwide from which one in four people are in danger of incurring in their lifetime. The pre-hospital stroke assessment plays a…

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…