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ORCIDEsther Bron
Esther E. Bron
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- affiliation: Erasmus Medical Center, Rotterdam, the Netherlands
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Journal Articles
- 2024
[j13]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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024)- 2023
- [j12]Matthew Leming, Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub, Hyungsoon Im:
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. npj Digit. Medicine 6 (2023) - 2022
- [j11]Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby:
Ten years of image analysis and machine learning competitions in dementia. NeuroImage 253: 119083 (2022) - 2021
- [j10]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:
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Frontiers Big Data 4: 577164 (2021) - [j9]Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri A. Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron:
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. NeuroImage 227: 117646 (2021) - [j8]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration. NeuroImage 235: 118004 (2021) - [j7]Vikram Venkatraghavan, Elisabeth J. Vinke, Esther E. Bron, Wiro J. Niessen, Mohammad Arfan Ikram, Stefan Klein, Meike W. Vernooij:
Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort. NeuroImage 238: 118233 (2021) - 2020
- [j6]Bo Li, 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:
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. NeuroImage 218: 116993 (2020) - 2019
- [j5]Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein:
Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling. NeuroImage 186: 518-532 (2019) - 2018
- [j4]Wyke Huizinga, Dirk H. J. Poot, Meike W. Vernooij, Gennady Roshchupkin, Esther Bron, Mohammad Arfan Ikram, Daniel Rueckert, Wiro J. Niessen, Stefan Klein:
A spatio-temporal reference model of the aging brain. NeuroImage 169: 11-22 (2018) - 2015
- [j3]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, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke:
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - [j2]Esther E. Bron, Marion Smits, Wiro J. Niessen, Stefan Klein:
Feature Selection Based on the SVM Weight Vector for Classification of Dementia. IEEE J. Biomed. Health Informatics 19(5): 1617-1626 (2015) - 2013
- [j1]Denis P. Shamonin, Esther Bron, Boudewijn P. F. Lelieveldt, Marion Smits, Stefan Klein, Marius Staring:
Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease. Frontiers Neuroinformatics 7: 50 (2013)
Conference and Workshop Papers
- 2023
- [c10]Wenjie Kang, Bo Li, 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, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 69-78 - 2021
- [c9]Xianjing Liu, Bo Li, Esther E. Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady V. Roshchupkin:
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. MICCAI (5) 2021: 814-823 - [c8]Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI. Medical Imaging: Image Processing 2021 - 2019
- [c7]Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein:
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI 2019: 169-180 - [c6]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, Daniel C. Alexander:
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 2019: 1-10 - [c5]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes. MICCAI (3) 2019: 645-653 - 2018
- [c4]Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther E. Bron:
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. MLMI@MICCAI 2018: 205-213 - 2017
- [c3]Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein:
A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling. IPMI 2017: 121-133 - 2016
- [c2]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:
Modeling the brain morphology distribution in the general aging population. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880I - 2014
- [c1]Esther Bron, Marion Smits, John van Swieten, Wiro J. Niessen, Stefan Klein:
Feature Selection Based on SVM Significance Maps for Classification of Dementia. MLMI 2014: 272-279
Informal and Other Publications
- 2023
- [i19]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:
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma. CoRR abs/2306.10611 (2023) - [i18]Bo Li, Jeroen de Bresser, Wiro J. Niessen, Matthias van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron:
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. CoRR abs/2306.10622 (2023) - [i17]Wenjie Kang, Bo Li, 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, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. CoRR abs/2308.07778 (2023) - [i16]Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron:
AI-based association analysis for medical imaging using latent-space geometric confounder correction. CoRR abs/2311.12836 (2023) - 2022
- [i15]Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron:
Computer-aided diagnosis and prediction in brain disorders. CoRR abs/2206.14683 (2022) - [i14]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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - 2021
- [i13]Xianjing Liu, Bo Li, Esther Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady Roshchupkin:
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. CoRR abs/2106.13734 (2021) - [i12]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, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein:
Reproducible radiomics through automated machine learning validated on twelve clinical applications. CoRR abs/2108.08618 (2021) - [i11]Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby:
Ten years of image analysis and machine learning competitions in dementia. CoRR abs/2112.07922 (2021) - 2020
- [i10]Bo Li, 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:
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. CoRR abs/2005.12838 (2020) - [i9]Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri A. Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron:
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. CoRR abs/2009.07139 (2020) - [i8]Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. CoRR abs/2011.01869 (2020) - [i7]Esther E. Bron, Stefan Klein, 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, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt:
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. CoRR abs/2012.08769 (2020) - [i6]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration. CoRR abs/2012.14230 (2020) - 2019
- [i5]Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein:
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. CoRR abs/1903.03386 (2019) - [i4]Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther Bron:
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. CoRR abs/1908.10219 (2019) - [i3]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther Bron:
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes. CoRR abs/1908.10221 (2019) - 2018
- [i2]Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, Alzheimer's Disease Neuroimaging Initiative:
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. CoRR abs/1808.03604 (2018) - 2017
- [i1]Vikram Venkatraghavan, Esther Bron, Wiro J. Niessen, Stefan Klein:
A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling. CoRR abs/1702.06408 (2017)
Coauthor Index
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