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Your search keyword '"van der Putten, Joost A."' showing total 19 results
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19 results on '"van der Putten, Joost A."'

1. Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video)

Author

Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Bergman, Jacques J., Beyna, Torsten, Bisschops, Raf, Boers, Tim G., Curvers, Wouter, Deprez, Pierre H., Duits, Lucas C., Elbe, Peter, Esteban, Jose Miguel, Falk, Gary W., Fockens, Kiki N., Ginsberg, Gregory G., de Groof, Albert J., Haidry, Rehan, Houben, Martin H., Infantolino, Anthony, Iyer, Prasad G., Jong, Martijn, Jonge, Pieter-Jan de, Jukema, Jelmer B., Koch, Arjun, Komanduri, Srinadh, Konda, Vani, Kusters, Koen C., Leclerq, Philippe, Leggett, Cadman L., Lightdale, Charles J., Mallant-Hent, Rosalie C., Villarejo, Guiomar Moral, Fernández-Sordo, Jacobo Ortiz, Pech, Oliver, Penman, Ian, Pouw, Roos E., van der Putten, Joost A., Ragunath, Krish, Scholten, Pieter, Seewald, Stefan, Sethi, Amritha, Smith, Michael S., van der Sommen, Fons, Trindade, Arvind, Wani, Sachin, Waxman, Irving, Westerhof, Jessie, Weusten, Bas L., de With, Peter H., Wolfsen, Herbert C., Kusters, Carolus H.J., Jong, Martijn R., Boers, Tim, Weusten, Bas L.A.M., Houben, Martin H.M.G., Nagengast, Wouter B., Mallant-Hent, Rosalie, Silva, Francisco Baldaque, Ortiz Fernández-Sordo, Jacobo, Moral Villarejo, Guiomar, Montazeri, Nahid S.M., der Sommen, Fons van, and de Groof, A. Jeroen

Published
2024
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2. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures: a pilot study (with video)

Author

Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Bergman, Jacques J., Beyna, Torsten, Boers, Tim G., Elbe, Peter, Fockens, Kiki N., de Groof, Albert J., Houben, Martin H., Jong, Martijn, Jukema, Jelmer B., Kusters, Koen C., Mallant-Hent, Rosalie C., Villarejo, Guiomar Moral, Nagengast, Wouter, Fernández-Sordo, Jacobo Ortiz, Pech, Oliver, Pouw, Roos E., van der Putten, Joost A., Ragunath, Krish, Scholten, Pieter, Seewald, Stefan, der Sommen, Fons van, Westerhof, Jessie, Weusten, Bas L., de With, Peter H., Jong, Martijn R., Boers, Tim, Kusters, Carolus H.J., Duits, Lucas C., van der Sommen, Fons, and de Groof, A. Jeroen

Published
2024
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5. Computer-aided diagnosis improves characterization of Barrett's neoplasia by general endoscopists (with video).

Author

Jukema, Jelmer B., Kusters, Carolus H.J., Jong, Martijn R., Fockens, Kiki N., Boers, Tim, van der Putten, Joost A., Pouw, Roos E., Duits, Lucas C., Weusten, Bas L.A.M., Herrero, Lorenza Alvarez, Houben, Martin H.M.G., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, Alaa, Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, and Silva, Francisco Baldaque

Abstract

Characterization of visible abnormalities in patients with Barrett's esophagus (BE) can be challenging, especially for inexperienced endoscopists. This results in suboptimal diagnostic accuracy and poor interobserver agreement. Computer-aided diagnosis (CADx) systems may assist endoscopists. We aimed to develop, validate, and benchmark a CADx system for BE neoplasia. The CADx system received pretraining with ImageNet and then consecutive domain-specific pretraining with GastroNet, which includes 5 million endoscopic images. It was subsequently trained and internally validated using 1758 narrow-band imaging (NBI) images of early BE neoplasia (352 patients) and 1838 NBI images of nondysplastic BE (173 patients) from 8 international centers. CADx was tested prospectively on corresponding image and video test sets with 30 cases (20 patients) of BE neoplasia and 60 cases (31 patients) of nondysplastic BE. The test set was benchmarked by 44 general endoscopists in 2 phases (phase 1, no CADx assistance; phase 2, with CADx assistance). Ten international BE experts provided additional benchmark performance. Stand-alone sensitivity and specificity of the CADx system were 100% and 98% for images and 93% and 96% for videos, respectively. CADx outperformed general endoscopists without CADx assistance in terms of sensitivity (P =.04). Sensitivity and specificity of general endoscopists increased from 84% to 96% and 90% to 98% with CAD assistance (P <.001). CADx assistance increased endoscopists' confidence in characterization (P <.001). CADx performance was similar to that of the BE experts. CADx assistance significantly increased characterization performance of BE neoplasia by general endoscopists to the level of expert endoscopists. The use of this CADx system may thereby improve daily Barrett surveillance. [ABSTRACT FROM AUTHOR]

Published
2024
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6. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures, a pilot study

Author

Fockens, Kiki N., primary, Jukema, Jelmer B., additional, Jong, Martijn R., additional, Boers, Tim, additional, van der Putten, Joost A., additional, Kusters, Carolus H.J., additional, Pouw, Roos E., additional, Duits, Lucas C., additional, Sommen, Fons van der, additional, de With, Peter H., additional, de Groof, A. Jeroen, additional, and Bergman, Jacques J., additional

Published
2024
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7. The use of a real-time computer-aided detection system for visible lesions in the Barrett's esophagus during live endoscopic procedures: a pilot study (with video)

Author

MS MDL 1, Cancer, Fockens, Kiki N., Jukema, Jelmer B., Jong, Martijn, Pouw, Roos E., Duits, Lucas C., de Groof, Albert J., Bergman, Jacques J., Boers, Tim G., van der Putten, Joost A., Kusters, Carolus H.J., der Sommen, Fons van, de With, Peter H., Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Weusten, Bas L., BONS-AI consortium, MS MDL 1, Cancer, Fockens, Kiki N., Jukema, Jelmer B., Jong, Martijn, Pouw, Roos E., Duits, Lucas C., de Groof, Albert J., Bergman, Jacques J., Boers, Tim G., van der Putten, Joost A., Kusters, Carolus H.J., der Sommen, Fons van, de With, Peter H., Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Weusten, Bas L., and BONS-AI consortium

Published
2024

8. A deep learning system for detection of early Barrett's neoplasia: a model development and validation study

Author

Fockens, K N, primary, Jong, M R, additional, Jukema, J B, additional, Boers, T G W, additional, Kusters, C H J, additional, van der Putten, J A, additional, Pouw, R E, additional, Duits, L C, additional, Montazeri, N S M, additional, van Munster, S N, additional, Weusten, B L A M, additional, Alvarez Herrero, L, additional, Houben, M H M G, additional, Nagengast, W B, additional, Westerhof, J, additional, Alkhalaf, A, additional, Mallant-Hent, R C, additional, Scholten, P, additional, Ragunath, K, additional, Seewald, S, additional, Elbe, P, additional, Baldaque-Silva, F, additional, Barret, M, additional, Ortiz Fernández-Sordo, J, additional, Villarejo, G Moral, additional, Pech, O, additional, Beyna, T, additional, van der Sommen, F, additional, de With, P H, additional, de Groof, A J, additional, Bergman, J J, additional, Alkhalaf, Alaa, additional, Alvarez Herrero, Lorenza, additional, Baldaque-Silva, Francisco, additional, Barret, Maximilien, additional, Bergman, Jacques J, additional, Beyna, Torsten, additional, Bisschops, Raf, additional, Boers, Tim G, additional, Curvers, Wouter, additional, Deprez, Pierre H, additional, Duits, Lucas C, additional, Elbe, Peter, additional, Esteban, Jose M, additional, Falk, Gary W, additional, Fockens, Kiki N, additional, Ganguly, Eric, additional, Ginsberg, Gregory G, additional, de Groof, Albert J, additional, Haidry, Rehan, additional, Houben, Martin H, additional, Infantolino, Anthony, additional, Iyer, Prasad G, additional, Jong, Martijn R, additional, De Jonge, Pieter-Jan, additional, Jukema, Jelmer B, additional, Koch, Arjun K, additional, Komanduri, Srinadh, additional, Konda, Vani, additional, Kusters, Carolus H J, additional, Leclercq, Philippe, additional, Leggett, Cadman L, additional, Lemmers, Arnaud, additional, Lightdale, Charles J, additional, Mallant-Hent, Rosalie C, additional, Moral Villarejo, Guiomar, additional, Muthusamy, V Raman, additional, Nagengast, Wouter, additional, Ortiz Fernández-Sordo, Jacobo, additional, Pech, Oliver, additional, Penman, Ian, additional, Pleskow, Douglas K, additional, Pouw, Roos E, additional, van der Putten, Joost A, additional, Ragunath, Krish, additional, Scholten, Pieter, additional, Seewald, Stefan, additional, Sethi, Amritha, additional, Smith, Michael S, additional, Van der Sommen, Fons, additional, Trindade, Arvind, additional, Wani, Sachin, additional, Waxman, Irving, additional, Westerhof, Jessie, additional, Weusten, Bas L, additional, de With, Peter H N, additional, and Wolfsen, Herbert C, additional

Published
2023
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9. COMPUTER-AIDED DIAGNOSIS (CADX) IMPROVES CHARACTERIZATION OF BARRETT’S NEOPLASIA BY ENDOSCOPISTS

Author

Jukema, Jelmer, primary, Kusters, Koen, additional, Jong, Martijn, additional, Fockens, Kiki, additional, Boers, Tim, additional, Van Der Putten, Joost, additional, Pouw, Roos, additional, Duits, Lucas, additional, Weusten, Bas, additional, Herrero, L. Alvarez, additional, Houben, Martin, additional, Nagengast, Wouter, additional, Westerhof, Jessie, additional, Alkhalaf, A., additional, Mallant-Hent, Rosalie, additional, Scholten, Pieter, additional, Ragunath, Krish, additional, Seewald, Stefan, additional, Elbe, Peter, additional, Baldaque-Silva, Francisco, additional, Barret, Maximilien, additional, Fernández-Sordo, Jacobo Ortiz, additional, Villarejo, Guiomar Moral, additional, Pech, Oliver, additional, Beyna, Torsten, additional, Van Der Sommen, Fons, additional, De With, P.H.N., additional, De Groof, Jeroen, additional, and Bergman, Jacques, additional

Published
2023
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10. VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM IMPROVES BARRETT’S NEOPLASIA DETECTION OF GENERAL ENDOSCOPISTS IN A MULTI-STEP BENCHMARKING STUDY

Author

Jong, Martijn, primary, Fockens, Kiki, additional, Jukema, Jelmer, additional, Boers, Tim, additional, Kusters, Koen, additional, Van Der Putten, Joost, additional, Pouw, Roos, additional, Duits, Lucas, additional, Weusten, Bas, additional, Herrero, L. Alvarez, additional, Houben, Martin, additional, Nagengast, Wouter, additional, Westerhof, Jessie, additional, Alkhalaf, A., additional, Mallant-Hent, Rosalie, additional, Scholten, Pieter, additional, Ragunath, Krish, additional, Seewald, Stefan, additional, Elbe, Peter, additional, Baldaque-Silva, Francisco, additional, Barret, Maximilien, additional, Fernández-Sordo, Jacobo Ortiz, additional, Villarejo, Guiomar Moral, additional, Pech, Oliver, additional, Beyna, Torsten, additional, Van Der Sommen, Fons, additional, De With, P.H.N., additional, De Groof, Jeroen, additional, and Bergman, Jacques, additional

Published
2023
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11. 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

Author

Fockens, Kiki N., primary, Jukema, Jelmer B., additional, Boers, Tim, additional, Jong, Martijn R., additional, van der Putten, Joost A., additional, Pouw, Roos E., additional, Weusten, Bas L. A. M., additional, Alvarez Herrero, Lorenza, additional, Houben, Martin H. M. G., additional, Nagengast, Wouter B., additional, Westerhof, Jessie, additional, Alkhalaf, Alaa, additional, Mallant, Rosalie, additional, Ragunath, Krish, additional, Seewald, Stefan, additional, Elbe, Peter, additional, Barret, Maximilien, additional, Ortiz Fernández‐Sordo, Jacobo, additional, Pech, Oliver, additional, Beyna, Torsten, additional, van der Sommen, Fons, additional, de With, Peter H., additional, de Groof, A. Jeroen, additional, and Bergman, Jacques J., additional

Published
2023
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13. 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

Author

MS MDL 1, Cancer, Fockens, Kiki N., Jukema, Jelmer B., Boers, Tim, Jong, Martijn R., van der Putten, Joost A., Pouw, Roos E., Weusten, Bas L.A.M., Alvarez Herrero, Lorenza, Houben, Martin H.M.G., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, Alaa, Mallant, Rosalie, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Barret, Maximilien, Ortiz Fernández-Sordo, Jacobo, Pech, Oliver, Beyna, Torsten, van der Sommen, Fons, de With, Peter H., de Groof, A. Jeroen, Bergman, Jacques J., MS MDL 1, Cancer, Fockens, Kiki N., Jukema, Jelmer B., Boers, Tim, Jong, Martijn R., van der Putten, Joost A., Pouw, Roos E., Weusten, Bas L.A.M., Alvarez Herrero, Lorenza, Houben, Martin H.M.G., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, Alaa, Mallant, Rosalie, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Barret, Maximilien, Ortiz Fernández-Sordo, Jacobo, Pech, Oliver, Beyna, Torsten, van der Sommen, Fons, de With, Peter H., de Groof, A. Jeroen, and Bergman, Jacques J.

Published
2023

14. A ROBUST AND COMPACT DEEP LEARNING SYSTEM FOR PRIMARY DETECTION OF EARLY BARRETT’S NEOPLASIA OUTPERFORMS GENERAL ENDOSCOPISTS

Author

Fockens, Kiki, primary, Jukema, Jelmer, additional, Jong, Martijn, additional, Boers, Tim G., additional, Van Der Putten, Joost, additional, Pouw, Roos E., additional, Weusten, Bas L., additional, Houben, Martin H., additional, Nagengast, Wouter B., additional, Westerhof, Jessie, additional, Herrero, L. Alvarez, additional, Alkhalaf, A., additional, Ragunath, Krish, additional, Barret, Maximilien, additional, Ortiz-Fernandez-Sordo, Jacobo, additional, Pech, Oliver, additional, Beyna, Torsten, additional, Seewald, Stefan, additional, Van Der Sommen, Fons, additional, De With, P.H.N., additional, De Groof, Jeroen, additional, and Bergman, Jacques, additional

Published
2022
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15. Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task

Author

Mammadli, Fidan, van der Sommen, Fons, Boers, Tim, van der Putten, Joost, Fockens, Kiki N., Jukema, Jelmer B., de Jong, Martijn R., Bergman, Jacques J. G. H. M., de With, Peter H. N., Drukker, Karen, Iftekharuddin, Khan M., Gastroenterology and Hepatology, Graduate School, CCA - Imaging and biomarkers, and Amsterdam Gastroenterology Endocrinology Metabolism

Subjects
Image Quality, Barrett's esophagus, Frame Informativeness Assessment, CAD, Endoscopy
Abstract

The majority of the encouraging experimental results published on AI-based endoscopic Computer-Aided Detection (CAD) systems have not yet been reproduced in clinical settings, mainly due to highly curated datasets used throughout the experimental phase of the research. In a realistic clinical environment, these necessary high image-quality standards cannot be guaranteed, and the CAD system performance may degrade. While several studies have previously presented impressive outcomes with Frame Informativeness Assessment (FIA) algorithms, the current-state of the art implies sequential use of FIA and CAD systems, affecting the time performance of both algorithms. Since these algorithms are often trained on similar datasets, we hypothesise that part of the learned feature representations can be leveraged for both systems, enabling a more efficient implementation. This paper explores this case for early Barrett cancer detection by integrating the FIA algorithm within the CAD system. Sharing the weights between two tasks reduces the number of parameters from 16 to 11 million and the number of floating-point operations from 502 to 452 million. Due to the lower complexity of the architecture, the proposed model leads to inference time up to 2 times faster than the state-of-The-Art sequential implementation while retaining the classification performance.

Published
2022

16. VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM DETECTS BARRETT’S NEOPLASIA WITH HIGH ACCURACY DURING LIVE ENDOSCOPIC PROCEDURES: A MULTI-CENTER PILOT AND FEASIBILITY STUDY

Author

Fockens, Kiki, Jukema, Jelmer, Jong, Martijn, Boers, Tim, Kusters, Koen, Van Der Putten, Joost, Pouw, Roos, Duits, Lucas, Weusten, Bas, Herrero, L. Alvarez, Houben, Martin, Nagengast, Wouter, Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, and Bergman, Jacques

Published
2023
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17. 1016 DOMAIN-SPECIFIC PRETRAINING OF DEEP LEARNING SYSTEMS IN GASTROINTESTINAL ENDOSCOPY IMPROVES PERFORMANCE OVER CURRENT STATE-OF-THE-ART PRETRAINING METHODS

Author

Fockens, Kiki, Boers, Tim G., Jukema, Jelmer, Jong, Martijn R., Kusters, Koen C., Van Der Putten, Joost, Struyvenberg, Maarten, Pouw, Roos E., Duits, Lucas C., Weusten, Bas L., Herrero, L. Alvarez, Houben, Martin H., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, and Bergman, Jacques

Published
2023
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