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Artificial intelligence for hepatopancreatic oncologic imaging Self-supervised learning and clinical translation in cancer assessment
Bereska, J. I., 2026, 239 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
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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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Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Ductal Adenocarcinoma
Bereska, J. I., Palic, S., Bereska, L. F., Gavves, E., Nio, C. Y., Kop, M. P. M., Struik, F., Daams, F., van Dam, M. A., Dijkhuis, T., Besselink, M. G., Marquering, H. A. & Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium, 2025, (E-pub ahead of print) In: Journal of Imaging Informatics in Medicine.Research output: Contribution to Journal › Article › Academic › peer-review
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