About & News


About this page

Welcome to my personal webpage! On the right, you'll find a short introduction and my contact details. On this website I share my academic endeavors and the products thereof. You can find an overview of my Research, highlighting the topics that I have worked on so far, which mainly revolve around medical image analysis and computer vision, and preferably a combination of the two. For a more comprehensive description of my work, please consult the list of Publications that I have (co-)authored. Being an advocate for open research, I share my Datasets and Code on this website whenever possible (and I find the time to clean it up and write READMEs etc.). Since I love teaching and supervising enthusiastic students, I also dedicated a part of this website to my contributions to Education, on which you will find an overview of courses that I am (or was) involved with, and a list of the great minds I had the pleasure to work with. For any questions, feedback, inconsistencies or malfunctions, please This email address is being protected from spambots. You need JavaScript enabled to view it.



  • 2017 April 5th: The paper of our BSc. graduate student Alexandros Rikos has been accepted for oral presentation at the 30th IEEE international conference on Computer-Based Medical Systems (CBMS) in Thessaloniki, Greece, this June! In this paper he described the interesting advantages of including multiple VLE frames for cancer detection in contrast to single frame analysis. Congrats to Alexandros!
  • 2017 March 7th: Our paper on the automated analysis of VLE scans is accepted for publication in Gastrointestinal Endoscopy
    [update] The approved manuscripts is online! And can be found here.

  • 2016 October 6th: Our paper on image features and classification methods for cancer detection using VLE imaging is accepted for oral presentation during SPIE Medical Imaging 2017 in Orlando (FL,USA) this February! Special congrats to Sander Klomp with his first publication!
  • 2016 September 27th: Wrote a popular piece for the EE faculty magazine Connecthor and it was published in the September issue last week (page 12-13). The university's corporate magazine Slash also featured our research in their September issue (dutch / english -- page 22-23)!

  • 2016 July 6th: Quite some media attention after our appearance on the RTL news on Monday evening (18.00 / 325k, 19.30 / 1.1m viewers)! Yesterday, local news station Studio040 visited us for an interview on early Barrett's cancer detection, the complete item is also on YouTube. Our work was also featured in the Eindhoven news paper, on the university homepage and on the website of the Catharina Hospital.
  • 2016 July 4th: Our research is featured on national television!  It was broadcast during the 19.30 news on RTL 4 and includes short interviews with our clinical expert Erik Schoon, with a patient of his that has recovered from esophageal cancer and with me. Check the news item and the video here (dutch only).

  • 2016 June 30th: Our grant proposal for early cancer detection in Barrett's esophagus is awarded funding by the dutch cancer society (KWF) and technology foundation STW!
  • 2016 June 28th: Our expert validation study of computer-aided detection of early neoplastic lesions in Barrett's appeared in the July issue of Endoscopy today!

  • 2016 June 17th: Three students finished their Bachelor End Projects today! Congrats Jelle, Sander and Sjors and thanks a lot for your contributions to our projects!

  • 2016 April 21st: Our clinical study with five expert gastroenterologists published online in the medical journal Endoscopy!
  • 2016 April 13th: Presented my joint work with Bart van Dongen on automatic grading of endoscopic video frames on the IEEE International Symposium on Biomedical Imaging (ISBI)!  This work aims at opening the door to image analysis algorithms for endoscopic video, reducing their computational load significantly.

Welcome to my webpage! My name is Fons van der Sommen and I am an assistant professor at Eindhoven University of Technology. My main research interests are Medical Image Analaysis and Computer-Aided Diagnosis, where I aim to bring theory from Machine Learning and Computer Vision to the medical practice.

+31 40 247 3708 

E: This email address is being protected from spambots. You need JavaScript enabled to view it. 
FLUX 5.092, TUE Campus
Eindhoven, the Netherlands

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