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Dive into the research topics where Inez Verpalen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
Open AccessFile24 Downloads (Pure) -
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
Open AccessFile52 Downloads (Pure) -
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
Open AccessFile32 Downloads (Pure) -
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
Open AccessFile25 Downloads (Pure) -
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
Open AccessFile19 Downloads (Pure)