121 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Maastricht UniversityNL11 papers
- Maastro ClinicNL7 papers
- Erasmus MCNL6 papers
- Eindhoven University of TechnologyNL4 papers
- Erasmus University RotterdamNL4 papers
- Centraal Bureau voor de StatistiekNL3 papers
- Harvard UniversityUS3 papers
- Radboud University NijmegenNL3 papers
- University Medical Center UtrechtNL3 papers
- Amsterdam NeuroscienceNL2 papers
- Amsterdam UMC Location University of AmsterdamNL2 papers
- Amsterdam University Medical CentersNL2 papers
5 papers · 1 filter
Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
Kaouther Mouheb, Marawan Elbatel, Janne Papma +8
While foundation models (FMs) offer strong potential for AI-based dementia diagnosis, their integration into federated learning (FL) systems remains underexplored. In this benchmar…
CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke
Cristo J. van den Berg, Frank G. te Nijenhuis, Mirre J. Blaauboer +9
Computer vision models can be used to assist during mechanical thrombectomy (MT) for acute ischemic stroke (AIS), but poor image quality often degrades performance. This work prese…
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Robin Camarasa, Daniel Bos, Jeroen Hendrikse +4
Uncertainty assessment has gained rapid interest in medical image analysis. A popular technique to compute epistemic uncertainty is the Monte-Carlo (MC) dropout technique. From a n…
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
David Robben, Anna M. M. Boers, Henk A. Marquering +9
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the p…
Improving Fiber Alignment in HARDI by Combining Contextual PDE Flow with Constrained Spherical Deconvolution
J. M. Portegies, R. H. J. Fick, G. R. Sanguinetti +3
We propose two strategies to improve the quality of tractography results computed from diffusion weighted magnetic resonance imaging (DW-MRI) data. Both methods are based on the sa…