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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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From Development to Implementation: A Systematic Review on the Current Maturity Status of Artificial Intelligence Models for Patients with Colorectal Cancer Liver Metastases
Kemna, R., Zeeuw, J. M., Ziesemer, K. A., Ali, M., Bereska, J. I., Marquering, H., Stoker, J., Verpalen, I. M., Swijnenburg, R.-J., Huiskens, J. & Kazemier, G., 2025, (E-pub ahead of print) In: Oncology.Research output: Contribution to journal › Article* › Academic › peer-review
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Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases
Wesdorp, N. J., Zeeuw, J. M., Postma, S. C. J., Roor, J., van Waesberghe, J. H. T. M., van den Bergh, J. E., Nota, I. M., Moos, S., Kemna, R., Vadakkumpadan, F., Ambrozic, C., van Dieren, S., van Amerongen, M. J., Chapelle, T., Engelbrecht, M. R. W., Gerhards, M. F., Grunhagen, D., van Gulik, T. M., Hermans, J. J. & de Jong, K. P. & 15 others, , 1 Dec 2023, In: European Radiology Experimental. 7, 1, 75.Research output: Contribution to journal › Article* › Academic › peer-review
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