Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks von Boers, Tim, Putten, Joost van der, Struyvenberg, Maarten, Fockens, Kiki, Jukema, Jelmer, Schoon, Erik, Sommen, Fons van der, Bergman, Jacques, With, Peter de

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Detection of frictional meltwater on snow surface using a humidity indicator von Siddiqui, Shiraz Ahmed, Hasler, Michael, Mössner, Martin, Van Putten, Joost, Schindelwig, Kurt, Nachbauer, Werner

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Modeling clinical assessor intervariability using deep hypersphere encoder–decoder networks von van der Putten, Joost, van der Sommen, Fons, de Groof, Jeroen, Struyvenberg, Maarten, Zinger, Svitlana, Curvers, Wouter, Schoon, Erik, Bergman, Jacques, de With, Peter H. N.

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Optical Biopsy of Dysplasia in Barrett's Oesophagus Assisted by Artificial Intelligence von van der Laan, Jouke J H, van der Putten, Joost A, Zhao, Xiaojuan, Karrenbeld, Arend, Peters, Frans T M, Westerhof, Jessie, de With, Peter H N, van der Sommen, Fons, Nagengast, Wouter B

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Machine learning in GI endoscopy: practical guidance in how to interpret a novel field von van der Sommen, Fons, de Groof, Jeroen, Struyvenberg, Maarten, van der Putten, Joost, Boers, Tim, Fockens, Kiki, Schoon, Erik J, Curvers, Wouter, de With, Peter, Mori, Yuichi, Byrne, Michael, Bergman, Jacques J G H M

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Friction Between Steel and Snow in Dependence of the Steel Roughness von Rohm, Sebastian, Hasler, Michael, Knoflach, Christoph, van Putten, Joost, Unterberger, Seraphin Hubert, Schindelwig, Kurt, Lackner, Roman, Nachbauer, Werner

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The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy von Groof, Jeroen de, van der Sommen, Fons, van der Putten, Joost, Struyvenberg, Maarten R, Zinger, Sveta, Curvers, Wouter L, Pech, Oliver, Meining, Alexander, Neuhaus, Horst, Bisschops, Raf, Schoon, Erik J, de With, Peter H, Bergman, Jacques J

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Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video) von 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, Silva, Francisco Baldaque, Barret, Maximilien, Ortiz Fernández-Sordo, Jacobo, Moral Villarejo, Guiomar, Pech, Oliver, Beyna, Torsten, Montazeri, Nahid S.M., der Sommen, Fons van, de With, Peter H., de Groof, A. Jeroen, Bergman, Jacques J., 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.

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

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Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency von Boers, Tim G.W., Fockens, Kiki N., van der Putten, Joost A., Jaspers, Tim J.M., Kusters, Carolus H.J., Jukema, Jelmer B., Jong, Martijn R., Struyvenberg, Maarten R., de Groof, Jeroen, Bergman, Jacques J., de With, Peter H.N., van der Sommen, Fons

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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 coll... von Fockens, Kiki N., Jukema, Jelmer B., Boers, Tim, Jong, Martijn R., 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, Sommen, Fons, With, Peter H., Groof, A. Jeroen, Bergman, Jacques J.

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Quantitative CT based radiomics as predictor of local resectability of pancreatic adenocarcinoma von Van der Putten, Joost, Zinger, Sveta, de With, Peter, Prokop, Mathias, Hermans, John

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Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems von Van Der Putten, Joost, Van Der Sommen, Fons, De with, Peter H. N.

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Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos von van der Putten, Joost, Struyvenberg, Maarten, de Groof, Jeroen, Curvers, Wouter, Schoon, Erik, Baldaque-Silva, Francisco, Bergman, Jacques, van der Sommen, Fons, de With, Peter H.N

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Wear of snow due to sliding friction von Hasler, Michael, Mössner, Martin, Jud, Werner, Schindelwig, Kurt, Gufler, Michael, van Putten, Joost, Rohm, Sebastian, Nachbauer, Werner

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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 von de Groof, Albert J., Struyvenberg, Maarten R., van der Putten, Joost, van der Sommen, Fons, Fockens, Kiki N., Curvers, Wouter L., Zinger, Sveta, Pouw, Roos E., Coron, Emmanuel, Baldaque-Silva, Francisco, Pech, Oliver, Weusten, Bas, Meining, Alexander, Neuhaus, Horst, Bisschops, Raf, Dent, John, Schoon, Erik J., de With, Peter H., Bergman, Jacques J.

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A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus von Struyvenberg, Maarten R., de Groof, Albert J., van der Putten, Joost, van der Sommen, Fons, Baldaque-Silva, Francisco, Omae, Masami, Pouw, Roos, Bisschops, Raf, Vieth, Michael, Schoon, Erik J., Curvers, Wouter L., de With, Peter H., Bergman, Jacques J.

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Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) von de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.

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Effect of Different Bearing Ratios on the Friction between Ultrahigh Molecular Weight Polyethylene Ski Bases and Snow von Rohm, Sebastian, Knoflach, Christoph, Nachbauer, Werner, Hasler, Michael, Kaserer, Lukas, van Putten, Joost, Unterberger, Seraphin H, Lackner, Roman

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Linked color imaging improves identification of early gastric cancer lesions by expert and non-expert endoscopists von Fockens, Kiki, de Groof, Jeroen, van der Putten, Joost, Khurelbaatar, Tsevelnorov, Fukuda, Hisashi, Takezawa, Takahito, Miura, Yoshimasa, Osawa, Hiroyuki, Yamamoto, Hironori, Bergman, Jacques

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