Cancer Center Amsterdam
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Combining cell-free DNA fragmentomes and total tumour volume improves prognostication and tumour response evaluation in patients with colorectal cancer liver metastases
Crnovrsanin, N., Zeeuw, J. M., Ali, M., Kemna, R., Alipanahi, B., Lumbard, K., Skidmore, Z. L., Rinaldi, L., van 't Erve, I., Wesdorp, N. J., Huiskens, J., van Steijn, D., van Waesberghe, J. H., van den Bergh, J., Nota, I., Moos, S., Bond, M. J. G., Meiqari, L., Huitink, I. & Giovannetti, E. & 13 others, , 1 Jan 2026, In: eBioMedicine. 123, 106081.Research output: Contribution to journal › Article › Academic › peer-review
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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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