Esther E. Bron

44 papers B 1Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer's disease. Comput. Medical Imaging Graph. Wenjie Kang, Bo Li, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Willemijn Jansen, Stefan Klein, Esther E. Bron
2026	J	`jnl`	Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data. CoRR Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij, Daniel C. Alexander, Alexandra L. Young, Esther E. Bron
2025	J	`jnl`	AI-based association analysis for medical imaging using latent-space geometric confounder correction. Medical Image Anal. Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron
2025	J	`jnl`	Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages. CoRR Douwe J. Spaanderman, Karthik Prathaban, Petr Zelina, Kaouther Mouheb, Lukás Hejtmánek, Matthew Marzetti, Antonius W. Schurink, Damian Chan, Ruben Niemantsverdriet, Frederik Hartmann, Zhen Qian, Maarten G. Thomeer, Petr Holub, Farhan Akram, Frank J. Wolters, Meike W. Vernooij, Cornelis Verhoef, Esther E. Bron, Vít Novácek, Dirk J. Grünhagen, Wiro J. Niessen, Martijn P. A. Starmans, Stefan Klein
2025	—	`conf`	Federated Fine-Tuning of SAM-Med3D for MRI-Based Dementia Classification. BRIDGE/DeCaF@MICCAI Kaouther Mouheb, Marawan Elbatel, Janne M. Papma, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Barbara van Munster, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein, Esther E. Bron
2025	J	`jnl`	Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification. CoRR Kaouther Mouheb, Marawan Elbatel, Janne M. Papma, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Barbara van Munster, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein, Esther E. Bron
2025	J	`jnl`	Multi-Cohort Federated Learning Shows Synergy in Mortality Prediction for MRI-Based and Metabolomics-Based Age Scores. J. Heal. Informatics Res. 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, Magdalena Beran, Miranda T. Schram, Pieter Jelle Visser, Justine E. F. Moonen, Mohsen Ghanbari, Gennady Roshchupkin, Dina Vojinovic, Iñigo Bermejo, Hailiang Mei, Esther E. Bron
2025	J	`jnl`	MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration. CoRR Héctor Cadavid, Hyunho Mo, Bauke Arends, Katarzyna Dziopa, Esther E. Bron, Daniel Bos, Sonja Georgievska, Pim van der Harst
2025	J	`jnl`	MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration. Comput. Biol. Medicine Héctor Cadavid, Hyunho Mo, Bauke Arends, Katarzyna Dziopa, Esther E. Bron, Daniel Bos, Sonja Georgievska, Pim van der Harst
2024	—	`conf`	Coronary Artery Calcium Scoring from Non-contrast Cardiac CT Using Deep Learning with External Validation. CMRxRecon/MBAS/STACOM@MICCAI Hyunho Mo, Daniel Bos, Maryam Kavousi, Maarten J. G. Leening, Esther E. Bron
2024	—	`conf`	Evaluating the Fairness of Neural Collapse in Medical Image Classification. MICCAI (10) Kaouther Mouheb, Marawan Elbatel, Stefan Klein, Esther E. Bron
2024	J	`jnl`	Evaluating the Fairness of Neural Collapse in Medical Image Classification. CoRR Kaouther Mouheb, Marawan Elbatel, Stefan Klein, Esther E. Bron
2024	J	`jnl`	MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. CoRR 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, Magdalena Beran, Miranda T. Schram, Pieter Jelle Visser, Justine E. F. Moonen, Mohsen Ghanbari, Gennady Roshchupkin, Dina Vojinovic, Iñigo Bermejo, Hailiang Mei, Esther E. Bron
2023	J	`jnl`	AI-based association analysis for medical imaging using latent-space geometric confounder correction. CoRR Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron
2023	—	`conf`	An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 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
2023	J	`jnl`	An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. CoRR 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
2023	J	`jnl`	Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. npj Digit. Medicine Matthew Leming, Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub, Hyungsoon Im
2022	J	`jnl`	Computer-aided diagnosis and prediction in brain disorders. CoRR Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron
2022	J	`jnl`	Ten years of image analysis and machine learning competitions in dementia. NeuroImage Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR 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
2021	J	`jnl`	Analyzing the effect of NeuroImage Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri A. Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron
2021	B	`conf`	Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI. Image Processing Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2021	J	`jnl`	Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration. NeuroImage Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2021	J	`jnl`	Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort. NeuroImage Vikram Venkatraghavan, Elisabeth J. Vinke, Esther E. Bron, Wiro J. Niessen, Mohammad Arfan Ikram, Stefan Klein, Meike W. Vernooij
2021	—	`conf`	Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. MICCAI (5) Xianjing Liu, Bo Li, Esther E. Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady V. Roshchupkin
2021	J	`jnl`	Reproducible radiomics through automated machine learning validated on twelve clinical applications. CoRR 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
2021	J	`jnl`	Ten years of image analysis and machine learning competitions in dementia. CoRR Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
2020	J	`jnl`	Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. CoRR Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri A. Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron
2020	J	`jnl`	Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. CoRR 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
2020	J	`jnl`	Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. CoRR Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2020	J	`jnl`	Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration. CoRR Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2020	J	`jnl`	Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. CoRR 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
2020	J	`jnl`	Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. NeuroImage 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
2019	—	`conf`	A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes. MICCAI (3) Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2019	J	`jnl`	Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling. NeuroImage Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
2019	—	`conf`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	J	`jnl`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. CoRR Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	—	`conf`	TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 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
2018	J	`jnl`	Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. CoRR Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, Alzheimer's Disease Neuroimaging Initiative
2018	—	`conf`	Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. MLMI@MICCAI Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther E. Bron
2017	—	`conf`	A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling. IPMI Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
2016	—	`conf`	Modeling the brain morphology distribution in the general aging population. Biomedical Applications in Molecular, Structural, and Functional Imaging 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
2015	J	`jnl`	Feature Selection Based on the SVM Weight Vector for Classification of Dementia. IEEE J. Biomed. Health Informatics Esther E. Bron, Marion Smits, Wiro J. Niessen, Stefan Klein
2015	J	`jnl`	Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 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