Search Results - "Weltens, C.G."

A Central Review Platform Improves the Quality of Regional Lymph Node Delineation for Breast Cancer Radiation Therapy by Kindts, I, Vandermeulen, A, Verhoeven, K, Laenen, A, Hortobágyi, E, Weltens, C.G

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Clinical Evaluation of a Deep Learning Model for Segmentation of Nodal Clinical Target Volumes in Breast Cancer Radiotherapy by Buelens, P., Willems, S., Vandewinckele, L., Crijns, W., Maes, F., Weltens, C.G.

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Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy by Buelens, P., Willems, S., Vandewinckele, L., Crijns, W., Maes, F., Weltens, C.G.

“…•Artificial Intelligence decreases errors in breast cancer structure segmentation.•Convolutional Neural Networks are feasible in breast cancer radiotherapy…”
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Validation of a Prognostic Scoring System for Postmastectomy Locoregional Recurrence in Breast Cancer by Van der Vorst, A., Kindts, I., Laenen, A., Janssen, H., Neven, P., Weltens, C.G.

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Normal Tissue Complication Probability Modeling of Long-Term Aesthetic Outcome After Breast-Conserving Therapy by Kindts, I., Defraene, G., Laenen, A., Petillion, S., van Limbergen, E., Depuydt, T., Weltens, C.G.

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Discrepancies Between Biological Markers of Primary Breast Cancer and Their Brain Metastases: An International Multicenter Study by Kaidar - Person, O., Meattini, I., Jain, P., Bult, P., Simone, N.L., Kindts, I., Steffens, R., Weltens, C.G., Navarria, P., Belkacemi, Y., Lopez, J., Livi, L., Baumert, B.G., Vieites, B., Limon, D., Kurman, N., Yu, J.B., Chiang, V.L., Poortmans, P., Zagar, T.M.

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