30 citations
- Maastricht UniversityNL5 papers
- Eindhoven University of TechnologyNL3 papers
- Erasmus MCNL2 papers
- Erasmus University RotterdamNL2 papers
- InsermFR2 papers
- Maastro ClinicNL2 papers
- Radboud University NijmegenNL2 papers
- University Medical Center UtrechtNL2 papers
- University of LausanneCH2 papers
- Utrecht UniversityNL2 papers
- Amsterdam NeuroscienceNL1 paper
- Amsterdam University Medical CentersNL1 paper
11 papers
From mesons to the baryon asymmetry: a unified Mesogenesis Framework
M. Burgos Marcos, A. Verheyden, K. K. Vos
mesogenesis offers an interesting mechanism to generate the baryon asymmetry of the universe by converting the CP violation of the Standard Model into a net baryon number asymm…
Light-sheet microscopy to assess cancer pathology: current views and future trends
Uma Pisarović, Taichi Ochi, Iryna Samarska +6
In recent years, light-sheet fluorescence microscopy (LSFM) has emerged as a powerful tool for visualizing and analyzing cancer tissue samples, including patient-derived specimens,…
Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography
Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44
In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…
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…
Federated Bayesian Network Ensembles
Florian van Daalen, Lianne Ippel, Andre Dekker +1
Federated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Ensemble-based learning works by t…