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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 others, 1 Dec 2023, In: European Radiology Experimental. 7, 1, 75.Research output: Contribution to journal › Article › Academic › peer-review
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Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models
Wesdorp, N., Zeeuw, M., van der Meulen, D., van ‘t Erve, I., Bodalal, Z., Roor, J., van Waesberghe, J. H., Moos, S., van den Bergh, J., Nota, I., van Dieren, S., Stoker, J., Meijer, G., Swijnenburg, R-J., Punt, C., Huiskens, J., Beets-Tan, R., Fijneman, R. & on behalf of the Dutch Colorectal Cancer Group Liver Expert Panel, 1 Dec 2023, In: Cancers. 15, 23, 5648.Research output: Contribution to journal › Article › Academic › peer-review
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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
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