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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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Quantitative Analysis of Small Intestinal Motility in 3D Cine-MRI Using Centerline-Aware Motion Estimation
van Harten, L. D., de Jonge, C. S., Struik, F., Stoker, J. & Išgum, I., 29 Aug 2024, (E-pub ahead of print) In: Journal of magnetic resonance imaging.Research output: Contribution to journal › Article* › Academic › peer-review
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