output
20152026
most citedDetecting functional decline from normal ageing to dementia: development and validation of a short version of the Amsterdam IADL Questionnaire

121 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025★ 1 cited

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…

cs.CV2025

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…

cs.CV2021★ 14 cited

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…

cs.CV2018★ 93 cited

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…

cs.CV2015★ 49 cited

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…