Projects per year
Personal profile
Academic background
Koen Kusters obtained his BSc. (2019) and MSc. degree (2021, cum laude) in Electrical Engineering from Eindhoven University of Technology (TU/e). He is currently pursuing his PhD in Medical Computer Vision and Image Processing for endoscopy applications at TU/e within the Video Coding & Architectures research group. Next to his research, Koen is a co-lecturer and teaching assistant in the master level course "Neural Networks for Computer Vision".
Research profile
Koen Kusters is a doctoral candidate in the Video Coding & Architectures research group within Signal Processing Systems, specializing in computer vision, image processing and machine learning for endoscopy applications. Collaborating with colleagues from the Amsterdam University Medical Center, his research focuses primarily on developing advanced algorithms for the detection and characterization of early neoplastic lesions in Barrett's esophagus. The key focus of his work is on endoscopy-specific robustness, generalization, and efficiency to improve algorithms, making the next step towards clinical applications of AI-based supportive systems in endoscopy.
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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Projects
- 1 Active
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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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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) -
Scaling up self-supervised learning for improved surgical foundation models
Jaspers, T. J. M., de Jong, R. L. P. D., Li, Y., Kusters, C. H. J., Bakker, F. H. A., van Jaarsveld, R. C., Kuiper, G. M., van Hillegersberg, R., Ruurda, J. P., Brinkman, W. M., Pluim, J. P. W., de With, P. H. N., Breeuwer, M., Khalil, Y. A. & van der Sommen, F., 16 Jan 2025, arXiv.org, 19 p.Research output: Working paper › Preprint › Academic
Open AccessFile30 Downloads (Pure)
Prizes
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SPIE Medical Imaging 2023 - Computer-Aided Diagnosis Best Paper Award
Kusters, K. (Recipient), 22 Feb 2023
Prize: Other › Scientific
Courses
Thesis
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Colorectal Polyp Classification using Convolutional Neural Networks
Kusters, K. (Author), van der Sommen, F. (Supervisor 1), 24 Aug 2021Student thesis: Master