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Personal profile

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In the fight against cancer, we need to make sure the medical specialists have the right 'weapons'. 

Research profile

Fons van der Sommen is an assistant professor at the research group Video Coding & Architectures of the department of Electrical Engineering. He is a passionate scientist and educator, holding a MSc. in Electrical Engineering (2012, cum laude) and a PhD in Computer Vision (2017, cum laude). Driven by a personal tragedy, a passion for science and a desire to contribute to this world, he applies his understanding of machine learning and computer vision in healthcare, where he aims to develop novel assistive technologies for medical doctors, helping them with early diagnosis and effective treatment of disease.  

In particular, in the field of Medical Image Analysis, Van der Sommen's research focuses on Computer-Aided Detection and Diagnosis (CADe/CADx) for oncology, striving to increase the detection rates and early diagnosis of developing cancer -- thereby vastly increasing the chances of survival for patients. Towards this goal, he works closely with medical specialists in an interdisciplinary team, aiming to translate medical domain knowledge into technical algorithms and vice versa. 

Academic background

Fons van der Sommen studied Electrical Engineering at Eindhoven University of Technology (TU/e, the Netherlands) where he obtained his MSc in 2012 with the distinction cum laude. The year before his father had died of cancer, with motivated him to investigate the feasibility of an algorithm for the computer-aided detection of esophageal cancer. This resulted in three publications on international conferences. Following his Master's studies Van der Sommen continued to work on computer vision methods for esophageal cancer detection in collaboration with the Catharina Hospital (Eindhoven) while pursuing a PhD degree. In 2017 he obtained his doctorate with his thesis 'Computer-aided detection of early Barrett's cancer', again with the distinction cum laude. In 2018, after having been a postdoctoral researcher at TU/e for a year, he was appointed assistant professor at the research group Video Coding & Architectures of the TU/e department of Electrical Engineering. That same year he was awarded the TU/e PhD thesis prize. 

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Research Output

Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)

de Groof, A. J., Struyvenberg, M. R., Fockens, K. N., van der Putten, J., van der Sommen, F., Boers, T. G., Zinger, S., Bisschops, R., de With, P. H., Pouw, R. E., Curvers, W. L., Schoon, E. J. & Bergman, J. J. G. H. M., Jun 2020, In : Gastrointestinal Endoscopy. 91, 6, p. 1242-1250 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • 2 Citations (Scopus)

    Deep-learning system detects neoplasia in patients with Barrett’s Esophagus with higher accuracy than endoscopists in a multi-step training and validation study with benchmarking

    de Groof, A. J., Struyvenberg, M. R., van der Putten, J., van der Sommen, F., Fockens, K. N., Curvers, W. L., Zinger, S., Pouw, R. E., Coron, E., Baldaque-Silva, F., Pech, O., Weusten, B., Meining, A., Neuhaus, H., Bisschops, R. R., Dent, J., Schoon, E. J., de With, P. H. N. & Bergman, J. J., Mar 2020, In : Gastroenterology. 158, 4, p. 915-929.e4

    Research output: Contribution to journalArticleAcademicpeer-review

  • 8 Citations (Scopus)

    Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy

    van der Putten, J., Struyvenberg, M., de Groof, J., Scheeve, T., Curvers, W., Schoon, E., Bergman, J. J. G. H. M., de With, P. H. N. & van der Sommen, F., Mar 2020, In : Computerized Medical Imaging and Graphics. 80, 10 p., 101701.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 17 Downloads (Pure)

    Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery

    Manni, F., van der Sommen, F., Zinger, S., Shan, C., Holthuizen, R., Lai, M., Burstrom, G., Hoveling, R. J. M., Edstrom, E., Elmi-Terander, A. & de With, P. H. N., 12 Jun 2020, In : Applied Sciences. 10, 12, 19 p., 4078.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • Machine learning in GI endoscopy: practical guidance in how to interpret a novel field

    van der Sommen, F., de Groof, J., Struyvenberg, M., van der Putten, J., Boers, T., Fockens, K., Schoon, E. J., Curvers, W., de With, P., Mori, Y., Byrne, M. & Bergman, J. J. G. H. M., 11 May 2020, In : Gut.

    Research output: Contribution to journalReview articleAcademicpeer-review

    Open Access
  • Prizes

    Best Poster Presentation

    Fons van der Sommen (Recipient), 10 May 2017

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    Best Poster Presentation

    Fons van der Sommen (Recipient), 18 Jun 2013

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    TU/e Best PhD Thesis Award

    Fons van der Sommen (Recipient), 21 Sep 2018

    Prize: TU/eOtherScientific

    Activities

    • 4 Contributed talk

    A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy

    Thom Scheeve (Speaker), Maarten R. Struyvenberg (Member), Wouter L. Curvers (Member), Jeroen de Groof (Member), Erik J. Schoon (Member), Jacques J.G.H.M. Bergman (Member), F. van der Sommen (Member), P.H.N. de With (Member)
    20 Feb 2019

    Activity: Talk or presentation typesContributed talkScientific

    Computer-aided classification of colorectal polyps using blue-light and linked-color imaging

    Thom Scheeve (Speaker), Ramon-Michel Schreuder (Member), Fons van der Sommen (Member), Joep E.G. IJspeert (Member), Evelien Dekker (Member), Erik J. Schoon (Member), P.H.N. de With (Member)
    18 Feb 2019

    Activity: Talk or presentation typesContributed talkScientific

    Computer-aided classification of colorectal polyps

    Thom Scheeve (Speaker), Ramon-Michel Schreuder (Member), F. van der Sommen (Member), Erik J. Schoon (Member), P.H.N. de With (Member)
    5 Apr 2018

    Activity: Talk or presentation typesContributed talkScientific

    Voorjaarsvergadering Nederlandse Vereniging voor Gastroenterologie, Koningshof, Veldhoven, the Netherlands

    Fons van der Sommen (Speaker)
    22 Mar 2013

    Activity: Talk or presentation typesContributed talkScientific

    Student theses

    Automatic detection of early cancer in the esophagus using high-definition endoscopy

    Author: van der Sommen, F., 31 Aug 2012

    Supervisor: Zinger, S. (Supervisor 1), de With, P. (Supervisor 2) & Schoon, E. J. (External person) (External coach)

    Student thesis: Master

    Computer-aided classification of colorectal polyps

    Author: Scheeve, T., 29 Mar 2018

    Supervisor: van der Sommen, F. (Supervisor 1) & Schoon, E. J. (External person) (External coach)

    Student thesis: Master

    Image features for automated colorectal polyp classification based on clinical prediction models

    Author: van Grinsven, M., 13 Dec 2018

    Supervisor: de With, P. (Supervisor 1) & van der Sommen, F. (Supervisor 2)

    Student thesis: Master