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Drs A. Thijssen

Recent publications
  • Thijssen, A., Schreuder, R.-M., Dehghani, N., Schor, M., de With, P. H. N., van der Sommen, F., Boonstra, J. J., Moons, L. M. G., & Schoon, E. J. (2024). Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions. Endoscopy international open, 12(10), 1102-1117. https://doi.org/10.1055/a-2403-3103
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  • Meulen, L. W. T., Haasnoot, K. J. C., Vlug, M. S., Wolfhagen, F. H. J., Baven-Pronk, M. A. M. C., van der Voorn, M. P. J. A., Schwartz, M. P., Vogelaar, L., de Vos Tot Nederveen Cappel, W. H., Seerden, T. C. J., Hazen, W. L., Schrauwen, R. W. M., Alvarez Herrero, L., Schreuder, R. M., van Nunen, A. B., Stoop, E., de Bruin, G. J., Bos, P., Marsman, W. A., ... Bogie, R. (2024). Training in optical diagnosis in community hospitals is associated with improved recognition and treatment of T1 CRC: a prospective multicenter intervention study (OPTICAL II). Endoscopy. Advance online publication. https://doi.org/10.1055/a-2313-4996
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  • Dehghani, N., Thijssen, A., Van Der Zander, Q. E. W., Schreuder, R. M., Schoon, E. J., Van Der Sommen, F., & De With, P. H. N. (2024). Evaluating Confidence Calibration in Endoscopic Diagnosis Models. In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp. 5020-5025). IEEE Computer Society. https://doi.org/10.1109/CVPRW63382.2024.00508
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  • Thijssen, A., Schreuder, R.-M., Fonolla, R., van der Zander, Q., Scheeve, T., Winkens, B., Subramaniam, S., Bhandari, P., de With, P., Masclee, A., van der Sommen, F., & Schoon, E. (2023). Erratum: Automatic textual description of colorectal polyp features: explainable artificial intelligence (vol 11, pg E513, 2023). Endoscopy international open, 11(05), C3-C3. https://doi.org/10.1055/a-2103-9750
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  • Thijssen, A., Schreuder, R.-M. R., Fonollà, R., van der Zander, Q., Scheeve, T., Winkens, B., Subramaniam, S., Bhandari, P., de With, P., Masclee, A., van der Sommen, F., & Schoon, E. (2023). Automatic textual description of colorectal polyp features: explainable artificial intelligence. Endoscopy international open, 11(05), E513-E518. https://doi.org/10.1055/a-2071-6652
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  • Dehghani, N., Scheeve, T., Boers, T. G. W., van der Zander, Q. E. W., Thijssen, A., Schreuder, R., Masclee, A. A. M., Schoon, E. J., van der Sommen, F., & de With, P. H. N. (2023). Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. In K. M. Iftekharuddin, & W. Chen (Eds.), Medical Imaging 2023: Computer-Aided Diagnosis (1 ed., Vol. 12465). Article 124651G SPIE. https://doi.org/10.1117/12.2653848
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  • Scheeve, T., Dehghani, N., van der Zander, Q. E. W., Thijssen, A., Schreuder, R. M., Masclee, A. A. M., Schoon, E. J., van der Sommen, F., & de With, P. H. N. (2023). How Does Image Quality Affect Computer-Aided Diagnosis of Colorectal Polyps? In K. M. Iftekharuddin, & W. Chen (Eds.), Medical Imaging 2023: Computer-Aided Diagnosis (1 ed., Vol. 12465). Article 124650S SPIE. https://doi.org/10.1117/12.2654167
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  • Dehghani, N., Scheeve, T., van der Zander, Q. E. W., Thijssen, A., Schreuder, R. M., Masclee, A. A. M., Schoon, E. J., van der Sommen, F., & de With, P. H. N. (2022). Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. In CANCER PREVENTION THROUGH EARLY DETECTION, CAPTION 2022 (pp. 108-117). Springer International Publishing AG. https://doi.org/10.1007/978-3-031-17979-2_11
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