Ruby Kemna - Research output - Amsterdam UMC research portal

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2 Article
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2023

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases
Wesdorp, N. J., Zeeuw, J. M., Postma, S. C. J., Roor, J., van Waesberghe, J. H. T. M., van den Bergh, J. E., Nota, I. M., Moos, S., Kemna, R., Vadakkumpadan, F., Ambrozic, C., van Dieren, S., van Amerongen, M. J., Chapelle, T., Engelbrecht, M. R. W., Gerhards, M. F., Grunhagen, D., van Gulik, T. M., Hermans, J. J., de Jong, K. P., & 15 othersKlaase, J. M., Liem, M. S. L., van Lienden, K. P., Molenaar, I. Q., Patijn, G. A., Rijken, A. M., Ruers, T. M., Verhoef, C., de Wilt, J. H. W., Marquering, H. A., Stoker, J., Swijnenburg, R-J., Punt, C. J. A., Huiskens, J. & Kazemier, G., 1 Dec 2023, In: European Radiology Experimental. 7, 1, 75.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access

2 Citations (Scopus)
2022

Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases
Dutch Colorectal Liver Expert Panel, 1 May 2022, In: Radiology: Imaging Cancer. 4, 3, p. e210105 e210105.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access

3 Citations (Scopus)