- 2011-2015 Ph.D. in Computer Science. Delft University of Technology, The Netherlands.
Thesis: Dissimilarity-Based Multiple Instance Learning
- 2004-2010 M.Sc. in Computer Science. Delft University of Technology, The Netherlands.
Thesis: Random Subspace Method for One-Class Classifiers
- 1999-2004 International Baccalaureate. International School of The Hague, The Netherlands
Research and work experience
Research and work experience
- 2017-current Assistant professor
Medical Image Analysis group, Eindhoven University of Technology, The Netherlands
- 2015-2016 Postdoctoral researcher
Biomedical Imaging Group Rotterdam, Erasmus Medical Center, The Netherlands
- 2013 Visiting researcher
Machine Learning and Computational Biology group, MPI Intelligent Systems, Tübingen, Germany (now at ETH Zurich)
- 2011-2014 Ph.D. researcher
Pattern Recognition Laboratory, Delft University of Technology, The Netherlands
- 2010 Intern Prime Vision, Delft, The Netherlands
- 2006-2010 Programmer (part-time) Dreamsolution, Tjip and others. Website development in PHP and MySQL, software testing, game development in C#
My background is in machine learning and medical image analysis. I focus on weakly-supervised algorithms, such as learning from similarities, or learning from data that is annotated in groups. Currently I am working on such algorithms for classification problems in chest CT and brain MR images, where annotations are scarce.
I recently started a project on crowdsourcing to address this annotation problem. The key idea is that even though crowd workers are not medical experts, they could still provide weak annotations. The current application is annotating airways in chest CT images, but the approach is more general, and my goal is to develop this into my own line of research.
- MINES ParisTech, Paris, France (2016)
- Medical and Biological Informatics, German Center for Cancer Research, Heidelberg, Germany (2016)
- Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany (2015)
- Colors of Dissimilarities workshop, Delft, The Netherlands (2015)
- NFBIA symposium, Nijmegen, The Netherlands (2015)
- The Image Section, University of Copenhagen, Denmark (2015, 2016)
- Biomediq, Copenhagen, Denmark (2014)
- d’Arc: Autism & ADHD research center, University of Amsterdam, The Netherlands (2014)
- Machine Learning and Computational Biology, MPI Intelligent Systems, Tübingen, Germany (2013)
- Large-scale Annotation of Biomedical Data (MICCAI LABELS), Athens, Greece (2016, poster)
- International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic (2016, oral, presented by co-author)
- Medical Image Computing and Computer-Assisted Interventions (MICCAI), Munich, Germany (2015, poster)
- Similarity-Based Pattern Recognition (SIMBAD), Copenhagen, Denmark (2015, oral)
- Machine Learning in Medical Imaging (MICCAI MLMI), Cambridge, MA, United States (2014, poster)
- International Conference on Pattern Recognition (ICPR), Stockholm, Sweden (2014, poster)
- Similarity-Based Pattern Recognition (SIMBAD), York, United Kingdom (2013, oral)
- Multiple Classifier Systems (MCS), Nanjing, China (2013, oral)
- International Conference on Pattern Recognition (ICPR), Tsukuba, Japan (2012, poster)
- Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), Hiroshima, Japan (2012, poster)
- Multiple Classifier Systems (MCS), Naples, Italy (2011, oral)
Grants and awards
Grants and awards
- 2016 Winner Pallas Ludens Academic Challenge. Project “CRAVE: Crowdsourcing for Airway and Vessel Extraction”, EUR 5.000
- 2015 Finalist STW Open Mind Award. Project “Game for crowdsourcing medical image analysis”. Top 15 of 132 applicants.
- 2013 Travel scholarship ERASMUS / Delft University of Technology. Visited MPI Intelligent Systems in Tübingen, Germany for 3 months.
- 2013 Travel scholarship ACM-W/Microsoft. Visited Multiple Classifier Systems in Nanjing, China.
- 2009 Member of merit, W.I.S.V. `Christiaan Huygens’. Recognized for my contribution to the society for mathematics and computer science students.
Boards and committees
- 2014 – current Board member (treasurer). NVPHBV, Dutch society for Pattern Recognition and Image Processing
- 2004 – 2010 Board and committee member. W.I.S.V. ‘Christiaan Huygens’, society for computer science and mathematics students. As board member in 2007-2008, supervised several committees in organizing events. In 2009, organized and coordinated visit to universities and companies in the United States.
- 2016 Meetings of the Dutch Society of Pattern Recognition and Image Processing in Rotterdam and Eindhoven, The Netherlands. 50-60 participants each
- 2015 Features and Structures (FEAST) workshop, International Conference on Machine Learning (ICML 2015), Lille, France. 170 registered participants.
- 2014 Features and Structures (FEAST) workshop,
International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden. 70 registered participants
- Statistical, Structural and Structural Pattern Recognition (S+SSPR 2016)
- International Joint Conference on Artificial Intelligence (IJCAI 2016)
- Similarity-based Pattern Recognition (SIMBAD 2015)
- Belgium Netherlands Machine Learning Conference (BENELEARN 2015)
I have reviewed over 40 articles for international journals and conferences, such as:
- IEEE TPAMI
- IEEE TMI
- IEEE TNNLS
- Pattern Recognition
- ISBI (2016-current)
- NIPS (2016)
A verified record of my reviews can be found on my Publons page.
- 2015 Introduction to biomedical imaging for medical students (MSc level), Erasmus MC
- 2014-2016 Advanced pattern recognition (PhD level), Delft University of Technology
- 2014 Pattern recognition for biomedical engineering (BSc level), Delft University of Technology
- 2011 – 2014 Pattern recognition for industry (PhD level)
- 2011 – 2014 Pattern recognition (MSc level)
- 2012-2014 Pattern recognition for biomedical engineering (BSc level)
- 2007 Algorithms and data structures (BSc level)
- 2016 Dylan Dophemont, BSc student from Hogeschool Rotterdam, The Netherlands. Project “Gamification of airway extraction”
- 2015 Isabel Pino Pena, visiting PhD student from University of Aalborg, Denmark. Co-supervised with Marleen de Bruijne. Project “Quantification of emphysema with multiple instance learning”
- 2014 Irene Cara, visiting MSc student from Università degli studi di Cagliari, Italy. Co-supervised with Marco Loog. Project “Multi-class multiple instance learning for image categorization”
- 2014 Groups of 3-4 BSc students carrying out a literature survey on machine learning topics. Co-supervised with Jesse Krijthe
- 2014 Dimitrios Palachanis, “Using the multiple instance learning framework to address differential regulation”, MSc thesis, Delft University of Technology
- 2012 Gijs van Tulder, “Sample reusability in importance-weighted active learning”, MSc thesis, Delft University of Technology
Open science and outreach
I maintain a dataset repository and contribute to a multiple instance learning toolbox for MATLAB, both accessible through http://www.miproblems.org.
VHTO, Dutch national organization on girls/women and science and technology. I give talks about technical education and careers to children aged 11-15.