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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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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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Artificial Intelligence in Biliopancreatic Disorders: Applications in Cross-Sectional Imaging and Endoscopy
Robles-Medranda, C., Verpalen, I., Schulz, D. & Spadaccini, M., Aug 2025, In: Gastroenterology. 169, 3, p. 471-486 16 p.Research output: Contribution to journal › Article › Academic › peer-review
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