Human-centred AI
for Health

Please check out this pitch on the importance and impact of our research into imaging data and machine learning analysis on healthcare.

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Key publications

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Dr. Esther Bron is Assistant Professor at the department of Radiology and Nuclear Medicine of the Erasmus MC – University Medical Center Rotterdam , the Netherlands. She is PI of the research line ‘Neuroimage analysis and Machine learning’. Her mission is to extend the value of big data and artificial intelligence (AI) in the neurology domain to the benefit of patients and doctors.

Research projects

Dr. Esther Bron is PI in several multicenter projects (CVON Heart Brain Connection, ImProVas, Parelsnoer), and coordinator of the Image & Data Science Platform. She won the Young eScientist Award 2018 by the Netherlands eScience Center and was finalist for the Young Outstanding Researcher Award 2020 by Alzheimer Nederland. Recent research outcomes of Dr. Brons team include development of DEBM – a novel disease progression model, which is currently being evaluated in several neurodegenerative diseases (i.e. Alzheimer’s disease, frontotemporal dementia, Creutzfeldt-Jacob’s disease, multiple sclerosis). In addition, the team developed neural network approaches for cross-sectional and longitudinal white matter tract segmentation. Dr. Bron (co-)organized two international grand challenges for the objective comparison of algorithms for AD diagnosis (CADDementia challenge) and prediction (TADPOLE challenge).

International collaborations

Dr. Bron collaborates with clinicians, companies, and several national and international research groups. A major partner is the Progression Of Neurodegenerative Disease (POND) group at University College London, with whom she organized the TADPOLE challenge which evaluates which data, processing pipelines, and predictive models provide the best estimates of future AD progression. In 2018, Dr. Bron won the Young eScientist Award which led to a collaboration with the Netherlands eScience Center and several international research teams (e.g. National University of Singapore, Tecnologico de Monterrey) on the TADPOLE-SHARE project.

PhD degree

Dr. Bron obtained her PhD degree on March 9 2016 with her thesis entitled Advanced MRI Analysis for Computer-Aided Diagnosis of Dementia. In her PhD research under supervision of Prof. W.J. Niessen, dr. S. Klein and dr. M. Smits, she developed and improved multiple methods for computer-aided diagnosis of dementia. As part of this, she organized the CADDementia challenge which compared image-based diagnosis algorithms. In the CADDementia workshop at the MICCAI 2014 conference, she presented the results of this challenge. With this project, Esther was nominated for the Dutch Data Prize 2014 and won a Best Scientific Paper Presentation Award at the European Congress of Radiology in 2015.

Contact

Erasmus MC - University Medical Center Rotterdam

Department of Radiology & Nuclear Medicine
Office Na2506
P.O. Box 2040
3000 CA Rotterdam, NL

Awards

In the press

Publications

1. Journal Papers

  • E.E. Bron, S. Klein, A. Reinke, J.M. Papma, L. Maier-Hein, D.C. Alexander, N.P. Oxtoby, Ten years of image analysis and machine learning competitions in dementia, ArXiv, 2022
  • R.V. Marinescu, N.P. Oxtoby, A.L. Young, E.E. Bron, A.W. Toga, M.W. Weiner, F. Barkhof, N.C. Fox, A. Eshaghi, T. Toni, M. Salaterski, V. Lunina, M. Ansart, S. Durrleman, P. Lu, S. Iddi, D. Li, W.K. Thompson, M.C. Donohue, A. Nahon, Y. Levy, D. Halbersberg, M. Cohen, H. Liao, T. Li, K. Yu, H. Zhu, J.G. Tamez-Pena, A. Ismail, T. Wood, H. Corrada Bravo, M. Nguyen, N. Sun, J. Feng, B.T.T. Yeo, G. Chen, K. Qi, S. Chen, D. Qiu, I. Buciuman, A. Kelner, R. Pop, D. Rimocea, M.M. Ghazi, M. Nielsen, S. Ourselin, L. Sorensen, V. Venkatraghavan, K. Liu, C. Rabe, P. Manser, S.M. Hill, J. Howlett, Z. Huang, S. Kiddle, S. Mukherjee, A. Rouanet, B. Taschler, B.D.M. Tom, S.R. White, N. Faux, S. Sedai, J. de Velasco Oriol, E.E V. Clemente, K. Estrada, L. Aksman, A. Altmann, C.M. Stonnington, Y. Wang, J. Wu, V. Devadas, C. Fourrier, L.L. Raket, A. Sotiras, G. Erus, J. Doshi, C. Davatzikos, J. Vogel, A. Doyle, A. Tam, A. Diaz-Papkovich, E. Jammeh, I. Koval, P. Moore, T.J. Lyons, J. Gallacher, J. Tohka, R. Ciszek, B. Jedynak, K. Pandya, M. Bilgel, W. Engels, J. Cole, P. Golland, S. Klein, D.C. Alexander, The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up, Machine Learning for Biomedical Imaging (MELBA), 2021
  • S. Kuipers, L.M. Overmars, B. van Es, J. de Bresser, E.E. Bron, I.E. Hoefer, L.J. Kappelle, C.E. Teunissen, G.J. Biessels, S. Haitjema, A cluster of blood-based protein biomarkers reflecting coagulation relates to the burden of cerebral small vessel disease, Journal of Cerebral Blood Flow and Metabolism, 2021
  • E.L. van der Ende, E.E. Bron, J.M. Poos, L.C. Jiskoot, J.L. Panman, J.M. Papma, H.H. Meeter, C. Wilke, M. Synofzik, C. Heller, I.J. Swift, A. Sogorb-Esteve, A. Bouzigues, B. Borroni, R. Ghidoni, R. Sanchez-Valle, F. Moreno, C. Graff, R. Laforce Jr, D. Galimberti, M. Masellis, M.C. Tartaglia, E. Finger, R. Vandenberghe, J.B. Rowe, A. de Mendonça, F. Tagliavini, I. Santana, S. Ducharme, C.R. Butler, A. Gerhard, J. Levin, A. Danek, M. Otto, Y.A.L. Pijnenburg, G. Frisoni, S. Sorbi, W.J. Niessen, J.D. Rohrer, S. Klein, J.C. van Swieten, V. Venkatraghavan*, H. Seelaar*, on behalf of the GENFI consortium., A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia, Brain, 2021
  • M.P.A. Starmans, S.R. van der Voort, T. Phil, M.J.M. Timbergen, M. Vos, G.A. Padmos, W. Kessels, D. Hanff, D.J. Grunhagen, C. Verhoef, S. Sleijfer, M.J. van den Bent, M. Smits, R.S. Dwarkasing, C.J. Els, F. Fiduzi, G.J.L.H. van Leenders, A. Blazevic, J. Hofland, T. Brabander, R.A.H. van Gils, G.J.H. Franssen, R.A. Feelders, W.W. de Herder, F.E. Buisman, F.E.J.A. Willemssen, B. Groot Koerkamp, L. Angus, A.A.M. van der Veldt, A. Rajicic, A.E. Odink, M. Deen, J.M. Castillo Tovar, J. Veenland, I. Schoots, M. Renckens, M. Doukas, R.A. de Man, J.N.M. IJzermans, R.L. Miclea, P.B. Vermeulen, E.E. Bron, M.G. Thomeer, J.J. Visser, W.J. Niessen, S. Klein, Reproducible radiomics through automated machine learning validated on twelve clinical applications, ArXiv, 2021

2. Conference Papers

3. Conference Proceedings

4. Conference Abstracts

  • V. Venkatraghavan, S. Klein, L. Fani, L.S. Ham, H. Vrooman, M.K. Ikram, W.J. Niessen, E.E. Bron, Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations, ApoE Symposium, 2021
  • E.E. Bron, S. Klein, J.M. Papma, L.C. Jiskoot, V. Venkatraghavan, J. Linders, P. Aalten, P.P. de Deyn, G.J. Biessels, J.A.H.R. Claassen, H.A.M. Middelkoop, M. Smits, W.J. Niessen, J.C. van Swieten, W.M. van der Flier, I. Ramakers, A. van der Lugt, External Validation of MRI-based Machine Learning in Alzheimer’s disease: the Parelsnoer biobank, Europe Biobank Week, 2020
  • V. Wottschel, I. Dekker, M. Schoonheim, V. Venkatraghavan, A. Eijlers, I. Brouwer, E. Bron, S. Klein, M. Wattjes, J. Geurts, B. Uitdehaag, N. Oxtoby, D. Alexander, H. Vrenken, J. Killestein, F. Barkhof, Event-based modelling of multimodal biomarkers in multiple sclerosis, CompAge, 2020
  • V. Venkatraghavan, S. Klein, L. Fani, L.S. Ham, H. Vrooman, M.K. Ikram, W.J. Niessen, E.E. Bron, Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations, CompAge, 2020
  • E.J. Vinke*, V. Venkatraghavan*, E.E. Bron, W.J. Niessen, M.A. Ikram, S. Klein, M.W. Vernooij, Predicting the incidence of Alzheimer's disease in the general elderly population using event-based modelling, CompAge, 2020

5. Invited Lectures

Team

  • Esther Bron posing for a picture
    Esther Bron, PhD

    Assistant Professor

  • Bo Li
    Bo Li

    Postdoctoral researcher / PhD candidate

  • Dalia Aljawaheri

    MSc Nanobiology, TU Delft

  • Claudia Chinea Hammecher

    MSc Biomedical Engineering, TU Delft

  • Myrthe van Haaften

    MSc Technical Medicine, EMC/TU Delft/LUMC

  • Karina Hoefnagel

    BSc Psychobiology, Universiteit van Amsterdam

  • Interested in joining?

    See MSc projects here!

Former team members

  • Vikram Venkatraghavan

    Postdoctoral researcher / PhD candidate (2021)

  • Diede Wijnbergen

    MSc Technical Medicine, EMC/TU Delft/LUMC (2021)

  • Lotte Mulder

    MSc Biomedical Engineering, TU Delft (2021)

  • Liselot Goris

    MSc Biomedical Engineering, U Twente (2021)

  • Niels de Bruin

    MSc Computer Science, TU Delft (2020)

  • Thomas Michelotti

    MSc Econometrics, EUR (2020)

  • Savine Martens

    MSc Biomedical Engineering, TU Delft (2020)

  • Theodoros Theodoridis

    MSc Medical Natural Sciences, VU (2019)

  • Marloes Adank

    MSc Biomedical Engineering, TU Delft (2019)

  • Jara Linders

    MSc Brain & Cognitive Sciences, UvA (2019)

  • Leontine Ham

    MSc Medical Natural Sciences, VU (2018)

  • Thomas Michaud

    MSc, ENSEEIHT Toulouse (2018)

  • Sara Laros

    BSc Medical Natural Sciences, VU (2018)

  • Jim Smit

    BSc Clinical Technology, EMC/TU Delft/LUMC (2017)

  • Sandrine Lacomme

    MSc, ENSEEIHT Toulouse (2013)

  • Ines Merida

    MSc, Polytech Marseille (2012)