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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 → 31/12/25
Project: Third tier
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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 → 5/02/26
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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2.5D mapping of the esophagus as imaging quality and completeness assuring extension for endoscopic computer-aided detection systems
Esselaar, E., Jaspers, T. J. M. (Corresponding author), Kusters, K., Boers, T., Jong, M. R., van Eijck van Heslinga, R. A. H., de Groof, A. J., Bergman, J. J. G. H. M., de With, P. H. N. & van der Sommen, F., 4 Apr 2025, Medical Imaging 2025: Computer-Aided Diagnosis. Astley, S. M. & Wismüller, A. (eds.). SPIE, 9 p. 1340733. (Proceedings of SPIE; vol. 13407).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection
BONS-AI consortium, Jong, M. R., Jaspers, T. J. M., Kusters, K., Jukema, J. B., van Eijck van Heslinga, R. A. H., Fockens, K. N., Boers, T., Visser, L., van der Putten, J. A., van der Sommen, F., de With, P. H. N., de Groof, A. J. & Bergman, J. J. G. H. M. (Corresponding author), 21 Mar 2025, (E-pub ahead of print) In: United European Gastroenterology Journal. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access1 Downloads (Pure) -
Comparison of graphic user interfaces for computer-aided detection in Barrett's neoplasia
BONS-AI consortium, Jukema, J. B., Jong, M. R., Kusters, K., van Eijck van Heslinga, R. A. H., Boers, T., Jaspers, T. J. M., Fockens, K. N., van der Putten, J. A., Pouw, R. E., Duits, L. C., van der Sommen, F., de With, P. H. N., de Groof, A. J. & Bergman, J. J. G. H. M. (Corresponding author), 28 Feb 2025, (E-pub ahead of print) In: Gastrointestinal Endoscopy. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems
BONS-AI consortium, Jong, M. R., Kusters, K., van Bokhorst, Q., Jukema, J. B., van Eijck van Heslinga, R. A. H., Fockens, K. N., Houwen, B., Jaspers, T. J. M., Boers, T., van der Vlugt, M., Dekker, E., van der Sommen, F., de With, P. H. N., de Groof, A. J. & Bergman, J. J. G. H. M., 28 Feb 2025, (E-pub ahead of print) In: Endoscopy. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Downloads (Pure) -
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Amaan Valiuddin, M. M. (Corresponding author), Viviers, C. G. A., van Sloun, R. J. G., de With, P. H. N. & van der Sommen, F., Jan 2025, In: IEEE Transactions on Medical Imaging. 44, 1, p. 384-395 12 p., 10639444.Research output: Contribution to journal › Article › Academic › peer-review
Datasets
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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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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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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
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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
Prizes
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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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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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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
Press/Media
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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
2 items 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
1 item 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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Nieuwe opsporingsmethode moet overlevingskans slokdarmkanker vergroten
4/07/16
1 Media contribution
Press/Media: Research
Research areas
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Oncology
van der Sommen, F. (Researcher), Lazar, M. (Researcher), Lavrijsen, R. (Researcher), Bax, N. A. M. (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