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Curriculum Vitae

I am Wouter Bulten. Currently, I am working as a PhD candidate on deep learning for improved prognostics in prostate cancer in the Computational pathology group of the Department of Pathology and the Diagnostic Image Analysis Group of the Radboud University Medical Center in Nijmegen.

Summer 2015, I graduated Cum laude in Artificial Intelligence at the Radboud University and received my Master of Science (MSc.) degree. Between 2011 and 2017 I worked as a Software Developer and Data Scientist at 123test.

This website is a portfolio of things I work, both professionally and as a hobby (combinations possible!). Not all content is 100% tech-focussed; I like to cook a wide range of dishes, some of which you can read more about on my food blog.

The Curriculum Vitae below shows a summarized overview of my activities throughout the years. More info? Contact me!

Work experience

Mar 2017 - present
PhD Candidate on deep learning for improved prognostics in prostate cancer, Radboud University Medical Center
Sept 2009 - present
Freelance web & software developer, OuterHills
Apr 2016 - Mar 2017
Data Scientist, 123test B.V. (.com /.nl) & TestingTalents
Feb 2011 - Mar 2016
Software Developer, 123test B.V. (.com /.nl) & TestingTalents
Oct 2014 - Aug 2015
Research intern, DoBots B.V. & Almende B.V. , on indoor localisation and the autonomous localisation of wireless sensor networks for the ‘Internet of Things’.

In the media

Overview of various news item related to my PhD research, only English and Dutch items shown.

De software die slimmer is dan de dokter
NRC (Dutch newspaper), January 31, 2020

Prostate diagnosis may benefit from some deep learning
Cosmos Magazine, January 13, 2020

De computer is slimmer dan de patholoog
BNR Wetenshchap Vandaag (Radio interview), January 9, 2020

Nederlandse onderzoekers gebruiken AI om agressiviteit tumor te bepalen (Dutch news website), January 9, 2020


Only publications as first author, see my Google Scholar for the full list. See my Research Blog for blog posts on these articles.

W. Bulten, et al. "Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study", in: The Lancet Oncology, 2020, Read online

W. Bulten and G. Litjens. "Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders", in: Medical Imaging with Deep Learning, 2018, Read online

W. Bulten, et al. "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard." in: Scientific reports 9.1 (2019): 864. Read online

W. Bulten, G. J. S. Litjens, C. A. Hulsbergen-van de Kaa, and J. van der Laak, “Automated segmentation of epithelial tissue in prostatectomy slides using deep learning,” in Medical Imaging 2018: Digital Pathology, vol. 10581, 2018. Read online

W. Bulten, A. van Rossum, and W. Haselager, “Human SLAM, Indoor Localisation of Devices and Users”, in The 1st IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI 2016), Berlin, Germany, 2016. Read online. View slides online

W. Bulten, W. Haselager, and I. Sprinkhuizen-Kuyper “Sharing Blood: A Decentralised Trust and Sharing Ecosystem based on the Vampire Bat,” in The 24th Benelux Conference on Artificial Intelligence (BNAIC) 2012, Proceedings of the 24th Benelux Conference on Artificial Intelligence, Maastricht, The Netherlands, ISSN 1568-7805, pp. 35–42. Online proceedings


Sept 2012 - Aug 2015
Cum Laude Master of Science (MSc.) in Artificial Intelligence, Radboud University
Sept 2009 - Aug 2012
Cum Laude Bachelor of Science (BSc.) in Artificial Intelligence, Radboud University


Radboud University Study Price

Honorary member SV CognAC

Radboud Certificaat voor bestuurswerk

Secondary activities (Selection)

Sept 2013 - Sept 2014
Faculty board member, Assessor, Faculty of Social Sciences, Radboud University
Sept 2014 - Aug 2013
Faculty student council, Technical chairman, Faculty of Social Sciences, Radboud University
Sep 2010 - Sep 2014
Chairman ACAIS, Annual CognAC AI Symposium Four time chair of ACAIS, an annual symposium on artificial intelligence for AI students.
Sep 2010 - Sep 2011
President, Study Association for Artificial Intelligence, CognAC