• Bron: Scopus
20142021

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 image-based treatments such as 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 cum laude in 2014 with a specialization 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.

Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN

In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):

  • SDG 9 – Industrie, innovatie en infrastructuur

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Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.