• 169 Citaties
20142020

Onderzoeksresultaten per jaar

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Persoonlijk profiel

Research profile

Maureen van Eijnatten is an assistant professor at the Department of Biomedical Engineering, where she works in the research group Medical Image Analysis (IMAG/e). She has active collaborations with the Centrum Wiskunde & Informatica (CWI), the Amsterdam University Medical Centers (3D Innovation Lab), and the University of Cambridge (UK), as well as with industrial partners such as the Finnish cone-beam computed tomography manufacturer Planmeca Oy. Her research interests include deep learning for medical imaging, particularly image reconstruction, segmentation, and registration, with applications in computer-aided surgery including virtual surgical planning and medical 3D printing. One of her key motivations is to bridge the gap between emerging technologies - such as artificial intelligence - and clinical applications. To achieve this, she focuses on both the opportunities and current challenges that these technologies pose in terms of accuracy, reliability, and generalizability.

Academic background

Maureen van Eijnatten studied Biomedical Technology & Physics at the VU University Amsterdam (The Netherlands) and graduated in 2014, specializing in Medical Physics. Her master's thesis was about the challenges of medical 3D printing and was carried out at the 3D Innovation Lab of the Amsterdam University Medical Centers - location VUmc, after which she decided to continue in the form of a full PhD research project that was partially funded by the Finnish company Planmeca Oy. In 2016 she received the Young eScientist Award for her idea to use artificial intelligence for medical 3D printing. After obtaining her PhD degree in 2017, she joined the Centrum Wiskunde & Informatica (CWI) for a postdoc on deep learning for computer-aided surgery. During this postdoc, she received a Van Leersum scholarship from the Royal Netherlands Academy of Arts and Sciences (KNAW) to spend 4 months as a visiting researcher at the Cambridge Image Analysis group of the University of Cambridge (UK). In 2020, she joined the Medical Image Analysis group of the Eindhoven University of Technology (TU/e) as Assistant Professor and Irène Curie Fellow. Maureen is also a participant of Spiegelbeeld, a program by the Dutch national expert organization on girls/women and science/technology (VHTO) to make girls enthusiastic about exact sciences.

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Onderzoeksoutput

  • 169 Citaties
  • 17 Tijdschriftartikel
  • 2 Meeting Abstract
  • 1 Artikel recenseren

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

Eijnatten, M. V., Rundo, L., Batenburg, K. J., Lucka, F., Beddowes, E., Caldas, C., Gallagher, F. A., Sala, E., Schönlieb, C-B. & Woitek, R., 15 mei 2020, (Geaccepteerd/In druk) In : Computer Methods and Programs in Biomedicine.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

1 Downloads (Pure)

A cone-beam X-ray computed tomography data collection designed for machine learning

der Sarkissian, H., Lucka, F., van Eijnatten, M., Colacicco, G., Coban, S. B. & Batenburg, K. J., 22 okt 2019, In : Scientific Data. 6, 8 blz., 215.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access

Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network

Minnema, J., van Eijnatten, M., Hendriksen, A. A., Liberton, N., Pelt, D. M., Batenburg, K. J., Forouzanfar, T. & Wolff, J., 1 nov 2019, In : Medical Physics. 46, 11, blz. 5027-5035 9 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
1 Citaat (Scopus)

Virtual forensic anthropology: The accuracy of osteometric analysis of 3D bone models derived from clinical computed tomography (CT) scans

Colman, K. L., de Boer, H. H., Dobbe, J. G. G., Liberton, N. P. T. J., Stull, K. E., van Eijnatten, M., Streekstra, G. J., Oostra, R. J., van Rijn, R. R. & van der Merwe, A. E., nov 2019, In : Forensic Science International. 304, 109963.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

3 Citaten (Scopus)

Accuracy of MDCT and CBCT in three-dimensional evaluation of the oropharynx morphology

Chen, H., van Eijnatten, M., Aarab, G., Forouzanfar, T., de Lange, J., van der Stelt, P., Lobbezoo, F. & Wolff, J., feb 2018, In : European Journal of Orthodontics. 40, 1, blz. 58-64 7 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

10 Citaten (Scopus)

Activiteiten

  • 1 Workshop, seminar, cursus of expositie

Lorentz workshop: Enabling Data-Driven Methods for Inverse Problems in 3D Imaging

Maureen van Eijnatten (Organisator)

21 nov 201925 nov 2019

Activiteit: Types deelname aan of organisatie van een evenementWorkshop, seminar, cursus of expositieWetenschappelijk