F
Fons van der Sommen
Researcher at Eindhoven University of Technology
Publications - 70
Citations - 1469
Fons van der Sommen is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Barrett's esophagus & Feature extraction. The author has an hindex of 14, co-authored 70 publications receiving 887 citations.
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Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein,Matthias Eisenmann,Annika Reinke,Sinan Onogur,Marko Stankovic,Patrick Scholz,Tal Arbel,Hrvoje Bogunovic,Andrew P. Bradley,Aaron Carass,Carolin Feldmann,Alejandro F. Frangi,Peter M. Full,Bram van Ginneken,Allan Hanbury,Katrin Honauer,Michal Kozubek,Bennett A. Landman,Keno März,Oskar Maier,Klaus H. Maier-Hein,Bjoern H. Menze,Henning Müller,Peter Neher,Wiro J. Niessen,Nasir M. Rajpoot,Gregory C. Sharp,Korsuk Sirinukunwattana,Stefanie Speidel,Christian Stock,Danail Stoyanov,Abdel Aziz Taha,Fons van der Sommen,Ching-Wei Wang,Marc-André Weber,Guoyan Zheng,Pierre Jannin,Annette Kopp-Schneider +37 more
TL;DR: In this paper, the authors present a comprehensive analysis of biomedical image analysis challenges conducted up to now and demonstrate the importance of challenges and show that the lack of quality control has critical consequences.
Journal ArticleDOI
Deep-Learning System Detects Neoplasia in Patients With Barrett's Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking.
Albert J. de Groof,Maarten R. Struyvenberg,Joost van der Putten,Fons van der Sommen,Kiki Fockens,Wouter L. Curvers,Sveta Zinger,Roos E. Pouw,Emmanuel Coron,Francisco Baldaque-Silva,Oliver Pech,Bas L. Weusten,Alexander Meining,Horst Neuhaus,Raf Bisschops,John Dent,Erik J. Schoon,Jacques J. Bergman +17 more
TL;DR: A deep-learning computer-aided detection system suitable for use in real time in clinical practice, to improve endoscopic detection of early neoplasia in patients with Barrett's esophagus was developed and validated.
Journal ArticleDOI
Computer-aided detection of early neoplastic lesions in Barrett’s esophagus
Fons van der Sommen,Svitlana Zinger,Wouter L. Curvers,Raf Bisschops,Oliver Pech,Bas L. Weusten,Jacques J. Bergman,Erik J. Schoon +7 more
TL;DR: The automated computer algorithm developed in this study was able to identify early neoplastic lesions with reasonable accuracy, suggesting that automated detection ofEarly neoplasia in Barrett's esophagus is feasible.
Journal ArticleDOI
Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy.
Anne-Fré Swager,Fons van der Sommen,Sander R. Klomp,Sveta Zinger,Sybren L. Meijer,Erik J. Schoon,Jacques J. Bergman,Wouter L. Curvers +7 more
TL;DR: This is the first study in which a computer algorithm for BE neoplasia was developed based on VLE images with direct histologic correlates, and it is suggested that an automatic detection algorithm has the potential to assist endoscopists in detecting early neoperasia on Vle.
Journal ArticleDOI
The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy:
Jeroen de Groof,Fons van der Sommen,Joost van der Putten,Maarten R. Struyvenberg,Sveta Zinger,Wouter L. Curvers,Oliver Pech,Alexander Meining,Horst Neuhaus,Raf Bisschops,Erik J. Schoon,Jacques J. Bergman +11 more
TL;DR: This uniquely trained and validated CAD system detected and localized early Barrett's neoplasia on WLE images with high accuracy and is an important step towards real-time automated detection of Barrett'sNeoplasia.