Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease. - Denis P. Shamonin; Esther Bron; Boudewijn P. F. Lelieveldt; Marion Smits; Stefan Klein 001; Marius Staring (Frontiers Neuroinformatics, 2013)

Feature Selection Based on SVM Significance Maps for Classification of Dementia. - Esther Bron; Marion Smits; John van Swieten; Wiro J. Niessen; Stefan Klein 001 (MLMI, 2014)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - Esther E. Bron; Marion Smits; Wiesje M. van der Flier; Hugo Vrenken; Frederik Barkhof; Philip Scheltens; Janne M. Papma; Rebecca M. E. Steketee; Carolina Méndez Orellana; Rozanna Meijboom; Madalena Pinto; Joana R. Meireles; et al. (NeuroImage, 2015)

Feature Selection Based on the SVM Weight Vector for Classification of Dementia. - Esther E. Bron; Marion Smits; Wiro J. Niessen; Stefan Klein 001 (IEEE J. Biomed. Health Informatics, 2015)

Modeling the brain morphology distribution in the general aging population. - Wyke Huizinga; Dirk H. J. Poot; Gennady V. Roshchupkin; Esther E. Bron; Mohammad Arfan Ikram; Meike W. Vernooij; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling. - Vikram Venkatraghavan; Esther E. Bron; Wiro J. Niessen; Stefan Klein 001 (IPMI, 2017)

Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. - Bo Li 088; Marius de Groot; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen; Esther E. Bron (MLMI@MICCAI, 2018)

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. - Vikram Venkatraghavan; Esther E. Bron; Wiro J. Niessen; Stefan Klein 001; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2018)

A spatio-temporal reference model of the aging brain. - Wyke Huizinga; Dirk H. J. Poot; Meike W. Vernooij; Gennady Roshchupkin; Esther Bron; Mohammad Arfan Ikram; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (NeuroImage, 2018)

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. - Vikram Venkatraghavan; Florian Dubost; Esther E. Bron; Wiro J. Niessen; Marleen de Bruijne; Stefan Klein 001 (IPMI, 2019)

A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Marius de Groot; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (MICCAI (3), 2019)

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. - Razvan V. Marinescu; Neil P. Oxtoby; Alexandra L. Young; Esther E. Bron; Arthur W. Toga; Michael W. Weiner; Frederik Barkhof; Nick C. Fox; Polina Golland; Stefan Klein 001; Daniel C. Alexander (PRIME@MICCAI, 2019)

Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling. - Vikram Venkatraghavan; Esther E. Bron; Wiro J. Niessen; Stefan Klein 001 (NeuroImage, 2019)

Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. - Vikram Venkatraghavan; Stefan Klein 001; Lana Fani; Leontine S. Ham; Henri A. Vrooman; M. Kamran Ikram; Wiro J. Niessen; Esther E. Bron (CoRR, 2020)

Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (CoRR, 2020)

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. - Esther E. Bron; Stefan Klein 001; Janne M. Papma; Lize C. Jiskoot; Vikram Venkatraghavan; Jara Linders; Pauline Aalten; Peter Paul De Deyn; Geert Jan Biessels; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Marion Smits; et al. (CoRR, 2020)

Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. - Bo Li 088; Marius de Groot; Rebecca M. E. Steketee; Rozanna Meijboom; Marion Smits; Meike W. Vernooij; Mohammad Arfan Ikram; Jiren Liu; Wiro J. Niessen; Esther E. Bron (NeuroImage, 2020)

Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. - Xianjing Liu; Bo Li 088; Esther E. Bron; Wiro J. Niessen; Eppo B. Wolvius; Gennady V. Roshchupkin (MICCAI (5), 2021)

Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (Image Processing, 2021)

Reproducible radiomics through automated machine learning validated on twelve clinical applications. - Martijn P. A. Starmans; Sebastian R. van der Voort; Thomas Phil; Milea J. M. Timbergen; Melissa Vos; Guillaume A. Padmos; Wouter Kessels; David Hanff; Dirk J. Grünhagen; Cornelis Verhoef; Stefan Sleijfer; Martin J. van den Bent; et al. (CoRR, 2021)

Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. - Wyke Huizinga; Dirk H. J. Poot; Elisabeth J. Vinke; F. Wenzel; Esther Bron; N. Toussaint; Christian Ledig; Henri A. Vrooman; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Stefan Klein 001 (Frontiers Big Data, 2021)

Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Marius de Groot; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (NeuroImage, 2021)

Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. - Vikram Venkatraghavan; Stefan Klein 001; Lana Fani; Leontine S. Ham; Henri A. Vrooman; M. Kamran Ikram; Wiro J. Niessen; Esther E. Bron (NeuroImage, 2021)

Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort. - Vikram Venkatraghavan; Elisabeth J. Vinke; Esther E. Bron; Wiro J. Niessen; Mohammad Arfan Ikram; Stefan Klein 001; Meike W. Vernooij (NeuroImage, 2021)

Computer-aided diagnosis and prediction in brain disorders. - Vikram Venkatraghavan; Sebastian R. van der Voort; Daniel Bos; Marion Smits; Frederik Barkhof; Wiro J. Niessen; Stefan Klein 001; Esther E. Bron (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Ten years of image analysis and machine learning competitions in dementia. - Esther E. Bron; Stefan Klein 001; Annika Reinke; Janne M. Papma; Lena Maier-Hein; Daniel C. Alexander; Neil P. Oxtoby (NeuroImage, 2022)

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. - Wenjie Kang; Bo Li 088; Janne M. Papma; Lize C. Jiskoot; Peter Paul De Deyn; Geert Jan Biessels; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Wiesje M. van der Flier; Inez H. G. B. Ramakers; Stefan Klein 001; Esther E. Bron (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Deep learning-based group-wise registration for longitudinal MRI analysis in glioma. - Claudia Chinea Hammecher; Karin van Garderen; Marion Smits; Pieter Wesseling; Bart A. Westerman; Pim J. French; Mathilde C. M. Kouwenhoven; Roel G. W. Verhaak; Frans Vos; Esther Bron; Bo Li 088 (CoRR, 2023)

Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. - Bo Li 088; Jeroen de Bresser; Wiro J. Niessen; Matthias van Osch; Wiesje M. van der Flier; Geert Jan Biessels; Meike W. Vernooij; Esther Bron (CoRR, 2023)

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. - Matthew Leming; Esther E. Bron; Rose Bruffaerts; Yangming Ou; Juan Eugenio Iglesias; Randy L. Gollub; Hyungsoon Im (npj Digit. Medicine, 2023)

Coronary Artery Calcium Scoring from Non-contrast Cardiac CT Using Deep Learning with External Validation. - Hyunho Mo; Daniel Bos; Maryam Kavousi; Maarten J. G. Leening; Esther E. Bron (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Evaluating the Fairness of Neural Collapse in Medical Image Classification. - Kaouther Mouheb; Marawan Elbatel; Stefan Klein 001; Esther E. Bron (MICCAI (10), 2024)

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. - Pedro Mateus; Swier Garst; Jing Yu; Davy Cats; Alexander G. J. Harms; Mahlet A. Birhanu; Marian Beekman; P. Eline Slagboom; Marcel J. T. Reinders; Jeroen van der Grond; Andre Dekker; Jacobus F. A. Jansen; et al. (CoRR, 2024)

Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. - Pedro Mateus; Justine E. F. Moonen; Magdalena Beran; Eva Jaarsma; Sophie M. van der Landen; Joost Heuvelink; Mahlet A. Birhanu; Alexander G. J. Harms; Esther Bron; Frank J. Wolters; Davy Cats; Hailiang Mei; et al. (J. Biomed. Informatics, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease. - Wenjie Kang; Lize C. Jiskoot; Peter Paul De Deyn; Geert Jan Biessels; Huiberdina Koek; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Wiesje M. van der Flier; Willemijn Jansen; Stefan Klein 001; Esther Bron (ISBI, 2025)

AI-based association analysis for medical imaging using latent-space geometric confounder correction. - Xianjing Liu; Bo Li 088; Meike W. Vernooij; Eppo B. Wolvius; Gennady V. Roshchupkin; Esther E. Bron (Medical Image Anal., 2025)

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration. - Héctor Cadavid; Hyunho Mo; Bauke Arends; Katarzyna Dziopa; Esther E. Bron; Daniel Bos; Sonja Georgievska; Pim van der Harst (CoRR, 2025)