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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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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XL-ARGOS extensie-0
de With, P. H. N., Viviers, C. G. A., Boers, T., van der Hagen, D., van der Putten, J. A., Fonolla, R., Kusters, K., van der Sommen, F. & Jaspers, T. J. M.
26/03/20 → 30/06/25
Project: Research direct
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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 → 5/02/26
Project: Research direct
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Next generation X-ray imaging system
de With, P. H. N., van der Sommen, F., 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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Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings
Schoonbeek, T. J., Onvlee, H., Frisco, P., de With, P. H. N. & van der Sommen, F., 1 May 2023, 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Institute of Electrical and Electronics Engineers, p. 881-882 2 p. 10108640Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
den Boer, R. B., Jaspers, T. J. M., de Jongh, C., Pluim, J. P. W., van der Sommen, F., Boers, T., van Hillegersberg, R., Van Eijnatten, M. A. J. M. & Ruurda, J. P., 22 Mar 2023, (E-pub ahead of print) In: Surgical Endoscopy. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
How does image quality affect computer-aided diagnosis of colorectal polyps?
Scheeve, T., Dehghani, N., van der Zander, Q. E. W., Thijssen, A., Schreuder, R-M., Masclee, A. A. M., Schoon, E. J., van der Sommen, F. & de With, P. H. N., 2023, (In preparation) Medical Imaging 2023: Compter-Aided Diagnosis.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
Kusters, K., Boers, T. G. W., Jukema, J. B., Jong, M. R., Fockens, K. N., de Groof, A. J., Bergman, J. J., van der Sommen, F. & de With, P. H. N., 7 Apr 2023, Medical Imaging 2023: Computer-Aided Diagnosis. SPIE, p. 1-11 11 p. (Proceedings of SPIE; vol. 12465).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
3 Downloads (Pure) -
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos
Kusters, C. H. J., Boers, T. G. W., Jukema, J. B., Jong, M. R., Fockens, K. N., de Groof, A. J., Bergman, J. J., van der Sommen, F. & de With, P. H. N., 30 Sept 2022, Cancer Prevention Through Early Detection - 1st International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Proceedings. Ali, S., van der Sommen, F., van Eijnatten, M., Kolenbrander, I., Papież, B. W. & Jin, Y. (eds.). Springer, p. 89-98 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13581 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
6 Downloads (Pure)
Prizes
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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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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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TU/e Best PhD Thesis Award
van der Sommen, Fons (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
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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Nieuwe opsporingsmethode moet overlevingskans slokdarmkanker vergroten
4/07/16
1 Media contribution
Press/Media: Research
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