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Neuroimage|November 25, 2018
Disease progression timeline estimation for Alzheimer's disease using discriminative event based modelingVikram Venkatraghavan, Esther E Bron, Wiro J Niessen, et al.
IEEE Journal of Biomedical and Health Informatics|May 15, 2015
Feature Selection Based on the SVM Weight Vector for Classification of DementiaEsther E Bron, Marion Smits, Wiro J Niessen, et al.
Stroke|November 25, 2024
Normative Population-Derived Data for MRI Manifestations of Cerebral Small Vessel DiseaseDuygu Kilinc, Meike W Vernooij, Esther E Bron, et al.
Frontiers in Neuroinformatics|January 30, 2014
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's diseaseDenis P Shamonin, Esther E Bron, Boudewijn P F Lelieveldt, et al.
Medical Image Analysis|March 12, 2025
AI-based association analysis for medical imaging using latent-space geometric confounder correctionXianjing Liu, Bo Li, Meike W Vernooij, et al.
NPJ Digital Medicine|July 13, 2023
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical settingMatthew J Leming, Esther E Bron, Rose Bruffaerts, et al.
Neuroimage|June 6, 2021
Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohortVikram Venkatraghavan, Elisabeth J Vinke, Esther E Bron, et al.
Computers in Biology and Medicine|October 10, 2025
MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario explorationHéctor Cadavid, Hyunho Mo, Bauke Arends, et al.
Neuroimage|March 12, 2022
Ten years of image analysis and machine learning competitions in dementiaEsther E Bron, Stefan Klein, Annika Reinke, et al.
Neuroimage|April 1, 2021
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registrationBo Li, Wiro J Niessen, Stefan Klein, et al.
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