Joost van der Putten

Author

Eindhoven University of Technology ORCID

Also Known As

J A van der Putten, J Van Der Putten, J. A. van der Putten, J.A. van der Putten, Joost A van der Putten, Joost A. van der Putten, Joost Van Der Putten, Joost Van der Putten, Joost van der Putten, van der Putten, Joost

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Eindhoven University of Technology Amsterdam University Medical Centers University of Amsterdam Catharina Ziekenhuis Radboud University Nijmegen

About

Joost van der Putten is an author at Eindhoven University of Technology specializing in radiology, deep learning, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	468
2	Medicine	3	3	453
3	Gastroenterology	2	2	335
4	Pathology	2	2	335
5	Data Science	1	1	12

Joost van der Putten

Publications

880

Citations

H-Index

Page 1

	Year	Citations
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, Gastroenterology EngineeringMachine LearningMedical ImagingEsophagusMedicine	2019	323
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, United European Gastroenterology Journal	2019	122
Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) Albert J. de Groof, Maarten R. Struyvenberg, Kiki Fockens, Gastrointestinal Endoscopy Pilot StudyHigh AccuracyImage AnalysisMachine LearningMedical Imaging	2020	118
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus Maarten R. Struyvenberg, Albert J. de Groof, Joost van der Putten, Gastrointestinal Endoscopy	2020	79
A deep learning system for detection of early Barrett's neoplasia: a model development and validation study Kiki Fockens, M R Jong, J B Jukema, The Lancet Digital Health	2023	52
Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set Kiki Fockens, Jelmer B. Jukema, Tim Boers, United European Gastroenterology Journal	2023	36
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency Tim G. W. Boers, Kiki Fockens, Joost van der Putten, Medical Image Analysis	2024	26
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Artificial Intelligence in Medicine	2020	24
Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video) Jelmer B. Jukema, Carolus H. J. Kusters, Martijn R. Jong, Gastrointestinal Endoscopy	2024	24
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Computerized Medical Imaging and Graphics	2020	17

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