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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., 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. & Huiskens, J. & 2 others, , 1 Dec 2025, In: Insights into Imaging. 16, 1, 110.Research output: Contribution to journal › Article › Academic › peer-review
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MKNet-family architectures for auto-segmentation of the residual pancreas after pancreatic resection: a deep learning comparative study
Böhm, D., Andel, P. C. M., Akkermans, P. A., Boekestijn, B., van der Geest, W., de Haas, R. J., Kist, J. W., Molenaar, I. Q., Nederend, J., Nio, C. Y., Pranger, B. K., van Santvoort, H. C., Struik, F., Verpalen, I. M., Wessels, F. J., Veldhuis, W. B., Verkooijen, H. M., Willemssen, F. E. J. A., Zoetekouw, R. I. & Dijkstra, J. & 3 others, , 27 Nov 2025, (E-pub ahead of print) In: Abdominal radiology (New York).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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