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Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
Jaspers, T. J. M., Boers, T. G. W., Kusters, C. H. J., Jong, M. R., Jukema, J. B., de Groof, A. J., Bergman, J. J., de With, P. H. N. & van der Sommen, F., 1 May 2024, In: Medical Image Analysis. 94, 103157.Research output: Contribution to journal › Article › Academic › peer-review
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Investigating the Impact of Image Quality on Endoscopic AI Model Performance
Jaspers, T. J. M., Boers, T. G. W., Kusters, C. H. J., Jong, M. R., Jukema, J. B., de Groof, A. J., Bergman, J. J., de With, P. H. N. & van der Sommen, F., 2024, Applications of Medical Artificial Intelligence - 2nd International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Wu, S., Shabestari, B. & Xing, L. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14313 LNCS. p. 32-41 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14313 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A deep learning system for detection of early Barrett's neoplasia: a model development and validation study
Fockens, K. N., Jong, M. R., Jukema, J. B., Boers, T. G. W., Kusters, C. H. J., van der Putten, J. A., Pouw, R. E., Duits, L. C., Montazeri, N. S. M., van Munster, S. N., Weusten, B. L. A. M., Alvarez Herrero, L., Houben, M. H. M. G., Nagengast, W. B., Westerhof, J., Alkhalaf, A., Mallant-Hent, R. C., Scholten, P., Ragunath, K., Seewald, S., & 7 others , 1 Dec 2023, In: The Lancet Digital Health. 5, 12, p. e905-e916Research output: Contribution to journal › Article › Academic › peer-review
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