Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jeroen de Groof"'
Autor:
Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Francisco Baldaque-Silva, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
Publikováno v:
Applied Sciences, Vol 10, Iss 10, p 3407 (2020)
Endoscopic diagnosis of early neoplasia in Barrett’s Esophagus is generally a two-step process of primary detection in overview, followed by detailed inspection of any visible abnormalities using Narrow Band Imaging (NBI). However, endoscopists str
Externí odkaz:
https://doaj.org/article/d32130ee93344c02b3609fd633504f8e
Autor:
Kiki N. Fockens, Jelmer B. Jukema, Tim Boers, Martijn R. Jong, Joost A. van der Putten, Roos E. Pouw, Bas L. A. M. Weusten, Lorenza Alvarez Herrero, Martin H. M. G. Houben, Wouter B. Nagengast, Jessie Westerhof, Alaa Alkhalaf, Rosalie Mallant, Krish Ragunath, Stefan Seewald, Peter Elbe, Maximilien Barret, Jacobo Ortiz Fernández‐Sordo, Oliver Pech, Torsten Beyna, Fons van der Sommen, Peter H. de With, A. Jeroen de Groof, Jacques J. Bergman
Publikováno v:
United European Gastroenterology Journal, 11(4), 324-336. SAGE Publications Inc.
Fockens, K N, Jukema, J B, Boers, T, Jong, M R, van der Putten, J A, Pouw, R E, Weusten, B L A M, Alvarez Herrero, L, Houben, M H M G, Nagengast, W B, Westerhof, J, Alkhalaf, A, Mallant, R, Ragunath, K, Seewald, S, Elbe, P, Barret, M, Ortiz Fernández-Sordo, J, Pech, O, Beyna, T, van der Sommen, F, de With, P H, de Groof, A J & Bergman, J J 2023, ' 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 ', United European Gastroenterology Journal, vol. 11, no. 4, pp. 324-336 . https://doi.org/10.1002/ueg2.12363
Fockens, K N, Jukema, J B, Boers, T, Jong, M R, van der Putten, J A, Pouw, R E, Weusten, B L A M, Alvarez Herrero, L, Houben, M H M G, Nagengast, W B, Westerhof, J, Alkhalaf, A, Mallant, R, Ragunath, K, Seewald, S, Elbe, P, Barret, M, Ortiz Fernández-Sordo, J, Pech, O, Beyna, T, van der Sommen, F, de With, P H, de Groof, A J & Bergman, J J 2023, ' 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 ', United European Gastroenterology Journal, vol. 11, no. 4, pp. 324-336 . https://doi.org/10.1002/ueg2.12363
Introduction: Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer Aided Detection (CADe) systems may assist in neoplasia detection. The aim of this study was to report the first steps in the development of a CADe sys
Autor:
Tim G. W. Boers, Carolus H. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques Bergman, Fons van der Sommen, Peter H. N. de With
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Embedded processing architectures are often integrated into devices to develop novel functions in a cost-effective medical system. In order to integrate neural networks in medical equipment, these models require specialized optimizations for preparin
Autor:
Kiki Fockens, Jelmer Jukema, Martijn Jong, Tim G. Boers, Joost Van Der Putten, Roos E. Pouw, Bas L. Weusten, Martin H. Houben, Wouter B. Nagengast, Jessie Westerhof, L. Alvarez Herrero, A. Alkhalaf, Krish Ragunath, Maximilien Barret, Jacobo Ortiz-Fernandez-Sordo, Oliver Pech, Torsten Beyna, Stefan Seewald, Fons Van Der Sommen, P.H.N. De With, Jeroen De Groof, Jacques Bergman
Publikováno v:
Gastrointestinal endoscopy, 95(6), AB237-AB238. MOSBY-ELSEVIER
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49d84d74d52075fa231f1b9648c0ed99
https://research.rug.nl/en/publications/338073c7-dfd6-4eb7-bd20-cc39d1812db0
https://research.rug.nl/en/publications/338073c7-dfd6-4eb7-bd20-cc39d1812db0
Autor:
A Jeroen, de Groof
Publikováno v:
Endoscopy. 54(8)
Autor:
Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Joost van der Putten, Tim Boers, Kiki Fockens, Erik J Schoon, Wouter Curvers, Peter de With, Yuichi Mori, Michael Byrne, Jacques J G H M Bergman
Publikováno v:
Gut
Gut, 69(11), 2035-2045. BMJ Publishing Group
Gut, 69(11):gutjnl-2019-320466, 2035-2045. BMJ Publishing Group
Gut, 69(11), 2035-2045. BMJ Publishing Group
Gut, 69(11):gutjnl-2019-320466, 2035-2045. BMJ Publishing Group
There has been a vast increase in GI literature focused on the use of machine learning in endoscopy. The relative novelty of this field poses a challenge for reviewers and readers of GI journals. To appreciate scientific quality and novelty of machin
Autor:
Jan van den Brande, Tessa Uiterwaal, Christianne J. Buskens, Juda Vecht, Robert E G J M Pierik, Job H.C. Peters, Nofel Mahmmod, John Maring, E. Joline de Groof, Toer W. Stevens, H. B. A. C. Stockmann, Pieter C. F. Stokkers, Karlien F. Bruin, Eric J. Hazebroek, Ailsa Hart, Arnold van de Laar, Hubert A Prins, Richard van Hillegersberg, Rachel L. West, Paul Kingma, Menno A. Brink, Pritesh Morar, Ruud Schouten, Marno C.M. Rijk, A Jeroen de Groof, Sijbrand Hofker, Annekatrien Depla, Bregje Mol, Janneke van der Woude, T. J. Gardenbroek, Janindra Warusavitarne, Bas Oldenburg, Edwin S. van der Zaag, Anna A. W. van Geloven, Rogier M P H Crolla, Emma J. Eshuis, Hans Brouwer, Meindert N. Sosef, Maria L Haasnoot, Geert R. D'Haens, Nynke Talstra, Marcel Spanier, Liekele Oostenbrug, Jeroen M. Jansen, Maarten J Boom, Donald L. van der Peet, Nanne K. H. de Boer, Willem A. Bemelman, Cyriel Y. Ponsioen, Rosalie C Mallant, Theo J.M. van Ditzhuijsen, Gerard Dijkstra, Alexander P.J. Houdijk, Willem A. Marsman, Djuna Cahen, Casper G. Noomen, Huib A. Cense, Esther C. J. Consten, Michael F. Gerhards, Ad A. van Bodegraven, Rob J. Lieverse, Andreas Marinelli, Sjoerd van der Werff, Clemens Bolwerk, Ernst Jan Spillenaar Bilgen, Quirijn A. J. Eijsbouts, Guido Mannaerts, Bart A. van Wagensveld
Publikováno v:
The lancet. Gastroenterology & hepatology, 5(10), 900-907. HANLEY & BELFUS-ELSEVIER INC
LIR!C study group 2020, ' Laparoscopic ileocaecal resection versus infliximab for terminal ileitis in Crohn's disease : retrospective long-term follow-up of the LIR!C trial ', The Lancet Gastroenterology and Hepatology, vol. 5, no. 10, pp. 900-907 . https://doi.org/10.1016/S2468-1253(20)30117-5
The Lancet Gastroenterology and Hepatology, 5(10), 900-907. Elsevier Ltd
lancet. Gastroenterology & hepatology, 5(10), 900-907. Elsevier Limited
LIR!C study group 2020, ' Laparoscopic ileocaecal resection versus infliximab for terminal ileitis in Crohn's disease : retrospective long-term follow-up of the LIR!C trial ', The Lancet Gastroenterology and Hepatology, vol. 5, no. 10, pp. 900-907 . https://doi.org/10.1016/S2468-1253(20)30117-5
The Lancet Gastroenterology and Hepatology, 5(10), 900-907. Elsevier Ltd
lancet. Gastroenterology & hepatology, 5(10), 900-907. Elsevier Limited
BACKGROUND: The LIR!C trial showed that laparoscopic ileocaecal resection is a cost-effective treatment that has similar quality-of-life outcomes to treatment with infliximab, an anti-tumour necrosis factor (TNF) drug. We aimed to compare long-term o
Autor:
Kiki Fockens, Jeroen de Groof, Joost van der Putten, Tsevelnorov Khurelbaatar, Hisashi Fukuda, Takahito Takezawa, Yoshimasa Miura, Hiroyuki Osawa, Hironori Yamamoto, Jacques Bergman
Publikováno v:
Surgical endoscopy, 36(11), 8316-8325. Springer New York
Background and aims Early gastric cancer (EGC) lesions are often subtle and endoscopically poorly visible. The aim of this study is to evaluate the additive effect of linked color imaging (LCI) next to white-light endoscopy (WLE) for identification o
Autor:
Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Publikováno v:
Neural Computing and Applications, 32(14). Springer London
Neural Computing and Applications, 32(14). Springer
Neural Computing and Applications, 32(14). Springer
In medical imaging, a proper gold-standard ground truth as, e.g., annotated segmentations by assessors or experts is lacking or only scarcely available and suffers from large intervariability in those segmentations. Most state-of-the-art segmentation
Publikováno v:
Gastrointestinal endoscopy, 93(5), 1016-1018. Mosby Inc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76f2efeee3d1b9fececfe2bd6831da46
https://pure.amc.nl/en/publications/metaanalyses-of-machine-learning-in-endoscopy-stacking-apples-and-oranges(a0506158-1476-4344-90ce-cf72a2db759c).html
https://pure.amc.nl/en/publications/metaanalyses-of-machine-learning-in-endoscopy-stacking-apples-and-oranges(a0506158-1476-4344-90ce-cf72a2db759c).html