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 associate 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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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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AdvAR4AIServ: Advanced Augmented Reality Solutions for AI-based Servitization
Schoonbeek, T. J. (Project member), van der Sommen, F. (Project Manager) & de With, P. H. N. (Project member)
1/10/20 → 1/12/26
Project: Third tier
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TASTI - XECS221002
Viviers, C. G. A. (Project member), Claessens, C. H. B. (Project member), De Espírito Santo e Caetano, F. (Project member), van der Sommen, F. (Project Manager) & de With, P. H. N. (Project member)
1/01/23 → 30/06/26
Project: Third tier
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XL-ARGOS extensie-0
van der Putten, J. A. (Project member), Fonollà, R. (Project member), Boers, T. (Project member), Viviers, C. G. A. (Project member), Dehghani, N. (Project member), Kusters, K. (Project member), Jaspers, T. J. M. (Project member), van Nierop, W. (Project member), Abdi, L. (Project member), van der Sommen, F. (Project Manager) & de With, P. H. N. (Project member)
26/03/20 → 30/06/25
Project: Third tier
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3DSEM:3D Imaging with Scanning Electron Microscopy
van der Sommen, F. (Project communication officer), Houben, T. (Project member), van der Sommen, F. (Project Manager) & de With, P. H. N. (Project member)
1/01/20 → 5/02/26
Project: Third tier
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Next generation X-ray imaging system
de With, P. H. N. (Project Manager), van der Sommen, F. (Project member), Zavala Mondragon, L. A. (Project member), Manni, F. (Project member), Viviers, C. G. A. (Project member) & van der Hagen, D. (Project communication officer)
1/01/18 → 31/12/21
Project: Research direct
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Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
ESGE AI Curriculum advisory and voting group, Mori, Y. (Corresponding author) & van der Sommen, F., 1 Feb 2026, In: Endoscopy. 58, 2, p. 202-210 9 p.Research output: Contribution to journal › Article › Academic › peer-review
9 Link opens in a new tab Citations (Scopus) -
Evaluating Performance of a Deep Learning–based Artificial Intelligence Model for Ovarian Tumor Classification Using a Multicenter CT Dataset
Koch, A. H. (Corresponding author), Claessens, C. H. B., Nies, I., Schultz, E. W. R., Hellström, T. A. E., Boers, T., Dekker, E. M. L., Muntinga, C. L. P., Hoogstad-van Evert, J. S., Niers-Stobbe, I., Bruining, A., Lok, C. A. R., Nederend, J., van der Sommen, F. & Piek, J. M. J., Mar 2026, In: Radiology: Imaging Cancer. 8, 2, e250027.Research output: Contribution to journal › Article › Academic › peer-review
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GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy
BONS-AI consortium, Boers, T., Kusters, K., Jaspers, T. J. M., van der Putten, J. A., de With, P. H. N., van der Sommen, F. & Bergman, J. J. G. H. M. (Corresponding author), Jan 2026, In: Gastroenterology. 170, 1, p. 174-187 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)69 Downloads (Pure) -
MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
Caetano, F., Viviers, C., de With, P. H. N. & van der Sommen, F., 23 Feb 2026, 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2025. Institute of Electrical and Electronics Engineers, p. 5558-5567 10 p. 11374584Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Optical Diagnosis of Early Colorectal Carcinoma: Performance of an Artificial Intelligence Algorithm vs Endoscopists
Dutch T1 Colorectal Cancer Working Group and COMET T1 CRC study group, Thijssen, A. (Corresponding author), Dehghani, N., de With, P. H. N. & van der Sommen, F., 2026, In: Techniques and Innovations in Gastrointestinal Endoscopy. 28, 2, 9 p., 250968.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure)
Datasets
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Extension to IndustReal Dataset: Assembly State Recognition with Error States
Schoonbeek, T. J. (Creator), Balachandran, G. (Creator), Onvlee, H. (Creator), Houben, T. (Creator), Hung, S.-H. (Creator), Kustra, J. (Creator), de With, P. H. N. (Contributor) & van der Sommen, F. (Contributor), 4TU.Centre for Research Data, 28 Oct 2024
DOI: 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73, https://data.4tu.nl/datasets/611adbc7-7935-43a6-8c3f-b2260a508e73 and one more link, https://data.4tu.nl/datasets/611adbc7-7935-43a6-8c3f-b2260a508e73/1 (show fewer)
Dataset
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IndustReal Dataset of Egocentric Videos for Procedure Understanding
Schoonbeek, T. J. (Creator), Houben, T. (Creator), Onvlee, H. (Creator), de With, P. H. N. (Contributor) & van der Sommen, F. (Contributor), 4TU.Centre for Research Data, 23 Aug 2024
DOI: 10.4121/b008dd74-020d-4ea4-a8ba-7bb60769d224.v2, https://data.4tu.nl/datasets/b008dd74-020d-4ea4-a8ba-7bb60769d224/2 and one more link, https://data.4tu.nl/datasets/b008dd74-020d-4ea4-a8ba-7bb60769d224 (show fewer)
Dataset
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Noise reduction in CT using Learned Wavelet-Frame Shrinkage Networks: Pytorch implementation
Zavala Mondragon, L. A. (Creator), van der Sommen, F. (Creator), de With, P. H. N. (Creator), Rongen, P. (Creator) & Bescos, J. O. (Creator), Code Ocean, 15 Feb 2022
DOI: 10.24433/co.6664988.v1, https://codeocean.com/capsule/9027829/tree/v1
Dataset
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A signal processing interpretation of noise-reduction convolutional neural networks: Toy model
de With, P. H. N. (Creator), van der Sommen, F. (Creator) & Zavala-Mondragón, L. A. (Contributor), Code Ocean, 9 Feb 2023
DOI: 10.24433/co.7845737.v1, https://codeocean.com/capsule/4720962/tree/v1 and one more link, https://codeocean.com/capsule/4720962/tree/v2 (show fewer)
Dataset
Prizes
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Best Poster Presentation
van der Sommen, F. (Recipient), 10 May 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Poster Presentation
van der Sommen, F. (Recipient), 18 Jun 2013
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, F. (Recipient), 21 Sept 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
Scheeve, T. (Speaker), Struyvenberg, M. R. (Member), Curvers, W. L. (Member), de Groof, J. (Member), Schoon, E. J. (Member), Bergman, J. J. G. H. M. (Member), van der Sommen, F. (Member) & de With, P. H. N. (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
Scheeve, T. (Speaker), Schreuder, R.-M. (Member), van der Sommen, F. (Member), IJspeert, J. E. G. (Member), Dekker, E. (Member), Schoon, E. J. (Member) & de With, P. H. N. (Member)
18 Feb 2019Activity: Talk or presentation types › Contributed talk › Scientific
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Computer-aided classification of colorectal polyps
Scheeve, T. (Speaker), Schreuder, R.-M. (Member), van der Sommen, F. (Member), Schoon, E. J. (Member) & de With, P. H. N. (Member)
5 Apr 2018Activity: Talk or presentation types › Contributed talk › Scientific
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Voorjaarsvergadering Nederlandse Vereniging voor Gastroenterologie, Koningshof, Veldhoven, the Netherlands
van der Sommen, F. (Speaker)
22 Mar 2013Activity: Talk or presentation types › Contributed talk › Scientific
Courses
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Data analysis and learning methods
Kaymak, U., van der Sommen, F. & Khaled, Q. 1/09/25 → 31/08/26
Course
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Fundamentals of machine learning
van Erp, B., van Mechelen, D., van der Sommen, F. & Zavala Mondragon, L. A. 1/09/20 → 31/08/26
Course
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Honors program professional development
Bondarau, Y., Özkan, L. & van der Sommen, F. 1/09/21 → 31/08/26
Course
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Press/Media
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Data on Artificial Intelligence Published by Researchers at Maastricht University Medical Center (Automatic textual description of colorectal polyp features: explainable artificial intelligence)
de With, P. H. N., van der Sommen, F., Fonollà, R. & Scheeve, T.
25/04/23
1 item of Media coverage
Press/Media: Expert Comment
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New Artificial Intelligence Findings from Eindhoven University of Technology Published (Optical Biopsy of Dysplasia in Barrett's Oesophagus Assisted by Artificial Intelligence)
de With, P. H. N. & van der Sommen, F.
21/04/23
1 item of Media coverage
Press/Media: Expert Comment
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-Eindhoven University of Technology : Fons van der Sommen: 'Trust is key for succesful use of AI'
27/07/22
3 items of Media coverage
Press/Media: Expert Comment
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Fons van der Sommen: “Trust is key for succesful use of AI”
26/07/22
1 item of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology: Research Talent to Work on AI, Photonics and Energy With Veni Grant
van der Sommen, F., Rücker, M. & Schrotenboer, A.
12/04/22
1 item of Media coverage
Press/Media: Expert Comment
Research areas
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Oncology
van der Sommen, F. (Researcher), Lazar, M. (Researcher), Lavrijsen, R. (Researcher), Bax, N. (Content manager), van der Hagen, D. (Content manager) & Sanders, R. (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
van der Sommen, F. (Author), Zinger, S. (Supervisor 1), de With, P. H. N. (Supervisor 2) & Schoon, E. J. (External coach), 31 Aug 2012Student thesis: Master