Esther Bron

Orcid: 0000-0002-5778-9263

Affiliations:
  • Erasmus Medical Center, Rotterdam, the Netherlands


According to our database1, Esther Bron authored at least 33 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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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

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

Deep learning-based group-wise registration for longitudinal MRI analysis in glioma.
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
Ten years of image analysis and machine learning competitions in dementia.
NeuroImage, 2022

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022

Computer-aided diagnosis and prediction in brain disorders.
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
A spatio-temporal reference model of the aging brain.
NeuroImage, 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
A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Modeling the brain morphology distribution in the general aging population.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Feature Selection Based on the SVM Weight Vector for Classification of Dementia.
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
Feature Selection Based on SVM Significance Maps for Classification of Dementia.
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


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