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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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Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review
Balduzzi, A., Janssen, B. V., de Pastena, M., Pollini, T., Marchegiani, G. & Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium, 1 Dec 2023, In: The British journal of surgery. 110, 12, p. 1623-1627 5 p.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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