We won the Lorentz-eScience Competition with our proposal for the “Crowdsourcing for Medical Image Analysis” workshop. This is an initiative together with Lora Aroyo (VU), Alessandro Bozzon (Delft University of Technology), Danna Gurari (University of Texas at Austin) and Zoltán Szlavik (IBM…
July 2017: Two papers accepted at LABELS 2017: meta-learning in medical image analysis and crowdsourcing in chest CT images
January 2017: New preprint on classification of COPD now available on arXiV
December 2016: Our survey on multiple instance learning is now available on arXiv. Hats off to Marc-André Carbonneau who did most of the work!
December 2016: My tudelft.nl and erasmusmc.nl email addresses will soon no longer be active, please use v.cheplygina[at]tue.nl instead
November 2016: I’m excited to announce that I am joining the Medical Image Analysis group at Eindhoven University of Technology as an assistant professor from February 2017. My thoughts about this are here
23rd November 2016: I am visiting lots of awesome people and giving a talk at The Image Section, University of Copenhagen, Denmark
11th November 2016: I’m organizing the fall meeting of the Dutch society of Pattern Recognition with keynotes by Joaquin Vanschoren, Diana Mateus and Julian de Wit.
3rd of November 2016: I am visiting Chloé Azencott and giving a talk at MINES ParisTech
September 2016: Added code for the recent IEEE Transactions on Neural Networks and Learning Systems paper