Projects per year
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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3DSEM:3D Imaging with Scanning Electron Microscopy
de With, P. H. N., van der Sommen, F. & Houben, T.
1/01/20 → 30/09/25
Project: Research direct
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Next generation X-ray imaging system
de With, P. H. N., van der Sommen, F., de With, P. H. N., Zavala Mondragon, L. A., Manni, F., Viviers, C. G. A. & van der Hagen, D.
1/01/18 → 31/12/21
Project: Research direct
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Next generation optical coherence tomography for improved detection of early Barrett's neoplasia
de With, P. H. N., Scheeve, T., van der Sommen, F. & van der Hagen, D.
31/03/17 → 30/03/20
Project: Research direct
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Advancing Smart Optical Imaging and Sensing for Health
de With, P. H. N., Zinger, S., Bernas, A., Manni, F., Li, C., van der Sommen, F., Ghazvinian Zanjani, F., Sun, Y. & van der Hagen, D.
1/06/16 → 31/05/19
Project: Research direct
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GAstroesophageal Reflux disease DIagnosis by video Analysis for Neonates
de With, P. H. N., van der Sommen, F., Zinger, S. & Pourtaherian, A.
1/06/14 → 15/03/19
Project: Research direct
Research output
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Automatic textual description of colorectal polyp features: explainable artificial intelligence based on the BASIC classification
Thijssen, A., Schreuder, R-M., Fonollà, R., van der Zander, Q. E. W., Scheeve, T., Subramaniam, S., Bhandari, P., de With, P. H. N., Masclee, A. A. M., van der Sommen, F. & Schoon, E. J., 16 Mar 2022, (Accepted/In press).Research output: Contribution to conference › Abstract › Academic
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Colorectal polyp classification using confidence-calibrated convolutional neural networks
Kusters, K., Scheeve, T., Dehghani, N., van der Sommen, F. & de With, P. H. N. (ed.), 4 Apr 2022, Medical Imaging 2022: Computer-Aided Diagnosis. SPIE, p. 442-454 13 p. (Proceedings of SPIE; vol. 12033).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Endoscopists' diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Frazzoni, L., Arribas, J., Antonelli, G., Libanio, D., Ebigbo, A., van der Sommen, F., de Groof, A. J., Fukuda, H., Ohmori, M., Ishihara, R., Wu, L., Yu, H., Mori, Y., Repici, A., Bergman, J. J. G. H. M., Sharma, P., Messmann, H., Hassan, C., Fuccio, L. & Dinis-Ribeiro, M., 1 Apr 2022, In: Endoscopy. 54, 4, p. 403-411 9 p.Research output: Contribution to journal › Article › Academic › peer-review
4 Citations (Scopus) -
Real-time characterization of colorectal polyps using artificial intelligence: A prospective pilot study comparing two computer-aided diagnosis systems and one expert endoscopist
van der Zander, Q. E. W., Schreuder, R-M., Thijssen, A., Kusters, K., Dehghani, N., Scheeve, T., Fonollà, R., Winkens, B., van der Ende, M. C. M., de With, P. H. N., van der Sommen, F., Masclee, A. A. M. & Schoon, E. J., 17 Mar 2022, (Accepted/In press).Research output: Contribution to conference › Abstract › Academic
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Trust in artificial intelligence: do confidence scores increase the appropriate trust of a medical doctor in computer-aided diagnosis systems?
Roumans, R., van der Zander, Q. E. W., Scheeve, T., Kusters, K., Dehghani, N., Schreuder, R-M., Masclee, A. A. M., Snijders, C. C. P., de With, P. H. N., van der Sommen, F. & Schoon, E. J., 17 Mar 2022, (Accepted/In press).Research output: Contribution to conference › Abstract › Academic
Prizes
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Best Poster Presentation
van der Sommen, Fons (Recipient), 18 Jun 2013
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Poster Presentation
van der Sommen, Fons (Recipient), 10 May 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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TU/e Best PhD Thesis Award
van der Sommen, Fons (Recipient), 21 Sep 2018
Prize: TU/e › Other › Scientific
Activities
- 4 Contributed talk
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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 2019Activity: Talk or presentation types › Contributed talk › Scientific
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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 2019Activity: Talk or presentation types › Contributed talk › Scientific
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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 2018Activity: Talk or presentation types › Contributed talk › Scientific
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Voorjaarsvergadering Nederlandse Vereniging voor Gastroenterologie, Koningshof, Veldhoven, the Netherlands
Fons van der Sommen (Speaker)
22 Mar 2013Activity: Talk or presentation types › Contributed talk › Scientific
Courses
Press / Media
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Eindhoven University of Technology: Research Talent to Work on AI, Photonics and Energy With Veni Grant
Fons van der Sommen, Eefje Hendriks, C.W. Oh & Albert Schrotenboer
12/04/22
1 item of Media coverage
Press/Media: Expert Comment
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Research talent to work on AI, photonics and energy with Veni grant
Fons van der Sommen, Eefje Hendriks, C.W. Oh & Albert Schrotenboer
11/04/22
1 item of Media coverage
Press/Media: Expert Comment
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-Eindhoven University of Technology: Smart software detects early-stage esophageal cancer; The algorithm can prevent invasive surgery and reduces mortality
Fons van der Sommen, Joost van der Putten & Peter H.N. de With
20/02/20
2 items of Media coverage
Press/Media: Expert Comment
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Smart software detects early-stage esophageal cancer
Fons van der Sommen & Joost van der Putten
19/02/20
1 item of Media coverage
Press/Media: Expert Comment
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New Detection Method Paves the Way for 100% Detection of Esophageal Cancer
Fons van der Sommen & Peter H.N. de With
7/07/16
1 item of Media coverage
Press/Media: Expert Comment
Impacts
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Oncology
Fons van der Sommen (Researcher), Mircea Lazar (Researcher), Reinoud Lavrijsen (Researcher), Noortje A.M. Bax (Content manager), Daniëlle van der Hagen (Content manager) & Rianne Sanders (Content manager)
Impact: Research Topic/Theme (at group level)
Thesis
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Automatic detection of early cancer in the esophagus using high-definition endoscopy
Author: van der Sommen, F., 31 Aug 2012Supervisor: Zinger, S. (Supervisor 1), de With, P. H. N. (Supervisor 2) & Schoon, E. J. (External person) (External coach)
Student thesis: Master