Esther Bron
Orcid: 0000-0002-5778-9263Affiliations:
- Erasmus Medical Center, Rotterdam, the Netherlands
According to our database1,
Esther Bron
authored at least 36 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 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.
J. Biomed. Informatics, 2024
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting.
npj Digit. Medicine, 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction.
CoRR, 2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI.
CoRR, 2023
CoRR, 2023
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
NeuroImage, 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
2021
Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort.
NeuroImage, 2021
Analyzing the effect of <i>APOE</i> on Alzheimer's disease progression using an event-based model for stratified populations.
NeuroImage, 2021
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage, 2021
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis.
Frontiers Big Data, 2021
Reproducible radiomics through automated machine learning validated on twelve clinical applications.
CoRR, 2021
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage, 2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease.
CoRR, 2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI.
CoRR, 2020
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations.
CoRR, 2020
2019
Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling.
NeuroImage, 2019
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling.
CoRR, 2018
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015
2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease.
Frontiers Neuroinformatics, 2013