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Sensors (Basel, Switzerland)|July 30, 2020
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural NetworksTim Boers, Joost van der Putten, Maarten Struyvenberg, et al.
Surgical Endoscopy|May 4, 2022
Linked color imaging improves identification of early gastric cancer lesions by expert and non-expert endoscopistsKiki Fockens, Jeroen de Groof, Joost van der Putten, et al.
Artificial Intelligence in Medicine|August 24, 2020
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated studyJoost van der Putten, Jeroen de Groof, Maarten Struyvenberg, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 12, 2020
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopyJoost van der Putten, Maarten Struyvenberg, Jeroen de Groof, et al.
Gut|May 13, 2020
Machine learning in GI endoscopy: practical guidance in how to interpret a novel fieldFons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, et al.
United European Gastroenterology Journal|May 9, 2019
The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopyJeroen de Groof, Fons van der Sommen, Joost van der Putten, et al.
Gastrointestinal Endoscopy|June 7, 2020
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett's esophagusMaarten R Struyvenberg, Albert J de Groof, Joost van der Putten, et al.
Gastrointestinal Endoscopy|January 14, 2020
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 N Fockens, et al.
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