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Personal profile

Quote

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. 

Fingerprint Dive into the research topics where Fons van der Sommen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Endoscopy Engineering & Materials Science
Barrett Esophagus Medicine & Life Sciences
Biopsy Engineering & Materials Science
Esophageal Neoplasms Medicine & Life Sciences
Tissue Engineering & Materials Science
Textures Engineering & Materials Science
Color Engineering & Materials Science
Needles Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2019

1 Citation (Scopus)

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

Scheeve, T., Struyvenberg, M. R., Curvers, W. L., de Groof, J., Schoon, E. J., Bergman, J. J. G. H. M., van der Sommen, F. & de With, P. H. N., 13 Mar 2019, Medical Imaging 2019: Computer-Aided Diagnosis: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). Bellingham: SPIE, 6 p. 10950-70. (Proceedings of SPIE; vol. 10950)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Lasers
Image analysis
Statistics
Imaging systems
Learning systems
1 Citation (Scopus)

Author correction: Why rankings of biomedical image analysis competitions should be interpreted with care (Nature Communications, (2018), 9, 1, (5217), 10.1038/s41467-018-07619-7)

Maier-Hein, L., Eisenmann, M., Reinke, A., Onogur, S., Stankovic, M., Scholz, P., Arbel, T., Bogunovic, H., Bradley, A. P., Carass, A., Feldmann, C., Frangi, A. F., Full, P. M., van Ginneken, B., Hanbury, A., Honauer, K., Kozubek, M., Landman, B. A., März, K., Maier, O. & 18 othersMaier-Hein, K., Menze, B. H., Müller, H., Neher, P. F., Niessen, W., Rajpoot, N., Sharp, G. C., Sirinukunwattana, K., Speidel, S., Stock, C., Stoyanov, D., Taha, A. A., van der Sommen, F., Wang, C. W., Weber, M. A., Zheng, G., Jannin, P. & Kopp-Schneider, A., 1 Dec 2019, In : Nature Communications. 10, 1, 2 p., 588

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

Open Access
File
HTML
ranking
image analysis
Image analysis
communication
2 Citations (Scopus)

Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging

Manni, F., van der Sommen, F., Zinger, S., Kho, E., Brouwer de Koning, S., Ruers, T., Shan, C., Schleipen, J. & de With, P., 8 Mar 2019, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. Bellingham: SPIE, 7 p. 109512K. (Proceedings of SPIE; vol. 10951)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Tongue Neoplasms
Squamous Cell Carcinoma
Neoplasms
Computer-Assisted Surgery
Nasal Cavity

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks

van Kersbergen, J., Ghazvinian Zanjani, F., Zinger, S., van der Sommen, F., Balluff, B., Vos, D. R. N., Ellis, S. R., Heeren, R. M. A., Lucas, M., Marquering, H. A., Jansen, I., Savci-Heijink, C. D., de Bruin, D. M. & de With, P. H. N., 18 Mar 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 8 p. 1095601. (Proceedings of SPIE; vol. 10956)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Mass spectrometry
Tumors
Neural networks
Imaging techniques
Molecular imaging

Cancer detection in mass spectrometry imaging data by recurrent neural networks

Ghazvinian Zanjani, F., Panteli, A., Zinger, S., van der Sommen, F., Tan, T., Balluff, B., Vos, D. R. N., Ellis, S. R., Heeren, R. M. A., Lucas, M., Marquering, H. A., Jansen, I., Savci-Heijink, C. D., de Bruin, D. M. & de With, P. H. N., 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Piscataway: Institute of Electrical and Electronics Engineers, p. 674-678 8759571

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Recurrent neural networks
Mass spectrometry
Imaging techniques
Computer aided diagnosis
Data storage equipment

Prizes

Best Poster Presentation

Fons van der Sommen (Recipient), 18 Jun 2013

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

Best Poster Presentation

Fons van der Sommen (Recipient), 10 May 2017

Recognition: 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

Recognition: TU/eOtherScientific

Activities 2013 2019

  • 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

Press / Media

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