150 citations
- University of AmsterdamNL10 papers
- University Medical Center UtrechtNL3 papers
- Amsterdam NeuroscienceNL2 papers
- Cancer Center AmsterdamNL2 papers
- Erasmus MCNL2 papers
- Erasmus University RotterdamNL2 papers
- Leiden University Medical CenterNL2 papers
- Maastricht UniversityNL2 papers
- Amsterdam University of Applied SciencesNL1 paper
- Australian Catholic UniversityAU1 paper
- Australian Centre for Robotic VisionAU1 paper
- Cancer Research Institute GhentBE1 paper
15 papers
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…
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
Daan Kuppens, Sebastiano Barbieri, Daisy van den Berg +4
Deep learning has proven to be a suitable alternative to least-squares (LSQ) fitting for parameter estimation in various quantitative MRI (QMRI) models. However, current deep learn…
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling
Alessandro Viani, Boris A Gutman, Emile d'Angremont +1
Modelling the progression of Degenerative Diseases (DD) is essential for detection, prevention, and treatment, yet it remains challenging due to the heterogeneity in disease trajec…
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
Pedro Mateus, Swier Garst, Jing Yu +19
Biological age scores are an emerging tool to characterize aging by estimating chronological age based on physiological biomarkers. Various scores have shown associations with agin…
TabAttention: Learning Attention Conditionally on Tabular Data
Michal K. Grzeszczyk, Szymon Płotka, Beata Rebizant +6
Medical data analysis often combines both imaging and tabular data processing using machine learning algorithms. While previous studies have investigated the impact of attention me…
Robust deformable image registration using cycle-consistent implicit representations
Louis D. van Harten, Jaap Stoker, Ivana Išgum
Recent works in medical image registration have proposed the use of Implicit Neural Representations, demonstrating performance that rivals state-of-the-art learning-based methods.…