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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)
Fockens, K. N., Jukema, J. B., Jong, M. R., Pouw, R. E., Duits, L. C., de Groof, A. J., Bergman, J. J., Boers, T., van der Putten, J. A., Kusters, C. H. J., van der Sommen, F., de With, P. H., Alkhalaf, A., Herrero, L. A., Baldaque-Silva, F., Barret, M., Bergman, J. J., Fockens, K. N., de Groof, A. J., Jong, M., & 20 others, Sept 2024, In: Gastrointestinal Endoscopy. 100, 3, p. 527-531.e3Research output: Contribution to journal › Article › Academic › peer-review
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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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