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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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Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer
Bereska, J. I., Janssen, B. V., Nio, C. Y., Kop, M. P. M., Kazemier, G., Busch, O. R., Struik, F., Marquering, H. A., Stoker, J., Besselink, M. G. & Verpalen, I. M., 1 Dec 2024, In: European Radiology Experimental. 8, 1, 18.Research output: Contribution to journal › Article* › Academic › peer-review
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Radiomics preoperative-Fistula Risk Score (RAD-FRS) for pancreatoduodenectomy: development and external validation
Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium, 1 Oct 2023, In: BJS open. 7, 5, zrad100.Research output: Contribution to journal › Article* › Academic › peer-review
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