-
Combining cell-free DNA fragmentomes and total tumour volume improves prognostication and tumour response evaluation in patients with colorectal cancer liver metastases
Crnovrsanin, N., Zeeuw, J. M., Ali, M., Kemna, R., Alipanahi, B., Lumbard, K., Skidmore, Z. L., Rinaldi, L., van 't Erve, I., Wesdorp, N. J., Huiskens, J., van Steijn, D., van Waesberghe, J. H., van den Bergh, J., Nota, I., Moos, S., Bond, M. J. G., Meiqari, L., Huitink, I. & Giovannetti, E. & 13 others, , 1 Jan 2026, In: eBioMedicine. 123, 106081.Research output: Contribution to journal › Article › Academic › peer-review
-
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
-
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
- All publications
