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Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow
Zeeuw, M., Bereska, J., Strampel, M., Wagenaar, L., Janssen, B., Marquering, H., Kemna, R., van Waesberghe, J. H., van den Bergh, J., Nota, I., Moos, S., Nio, Y., Kop, M., Kist, J., Struik, F., Wesdorp, N., Nelissen, J., Rus, K., de Sitter, A. & Stoker, J. & 3 others, , 1 Dec 2025, In: Insights into imaging. 16, 1, 110.Research output: Contribution to journal › Article* › Academic › peer-review
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Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA)
Bereska, J. I., Zeeuw, M., Wagenaar, L., Jenssen, H. V. B., Wesdorp, N. J., van der Meulen, D., Bereska, L. F., Gavves, E., Janssen, B. V., Besselink, M. G., Marquering, H. A., van Waesberghe, J.-H. T. M., Aghayan, D. L., Pelanis, E., van den Bergh, J., Nota, I. I. M., Moos, S., Kemmerich, G., Syversveen, T. & Kolrud, F. K. & 29 others, , 1 Dec 2024, In: Insights into imaging. 15, 1, 9 p., 279.Research output: Contribution to journal › Article* › Academic › peer-review
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Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models
Wesdorp, N., Zeeuw, M., van der Meulen, D., van ‘t Erve, I., Bodalal, Z., Roor, J., van Waesberghe, J. H., Moos, S., van den Bergh, J., Nota, I., van Dieren, S., Stoker, J., Meijer, G., Swijnenburg, R.-J., Punt, C., Huiskens, J., Beets-Tan, R., Fijneman, R. & on behalf of the Dutch Colorectal Cancer Group Liver Expert Panel, 1 Dec 2023, In: Cancers. 15, 23, 5648.Research output: Contribution to journal › Article* › Academic › peer-review
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