Explainable artificial intelligence (XAI) in deep learning-based medical image analysis von van der Velden, Bas H.M., Kuijf, Hugo J., Gilhuijs, Kenneth G.A., Viergever, Max A.

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Association between rim enhancement of breast cancer on dynamic contrast-enhanced MRI and patient outcome: impact of subtype von Schmitz, Alexander M. Th, Loo, Claudette E., Wesseling, Jelle, Pijnappel, Ruud M., Gilhuijs, Kenneth G. A.

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Magnetic Resonance Imaging Response Monitoring of Breast Cancer During Neoadjuvant Chemotherapy: Relevance of Breast Cancer Subtype von LOO, Claudette E, STRAVER, Marieke E, RODENHUIS, Sjoerd, MULLER, Sara H, WESSELING, Jelle, VRANCKEN PEETERS, Marie-Jeanne T. F. D, GILHUIJS, Kenneth G. A

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Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial von Verburg, Erik, van Gils, Carla H, van der Velden, Bas H M, Bakker, Marije F, Pijnappel, Ruud M, Veldhuis, Wouter B, Gilhuijs, Kenneth G A

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Imaging Features of HER2 Overexpression in Breast Cancer: A Systematic Review and Meta-analysis von ELIAS, Sjoerd G, ADAMS, Arthur, WISNER, Dorota J, ESSERMAN, Laura J, VAN'T VEER, Laura J, MALI, Willem P. Th. M, GILHUIJS, Kenneth G. A, HYLTON, Nola M

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Radiogenomic Analysis of Breast Cancer by Linking MRI Phenotypes with Tumor Gene Expression von Bismeijer, Tycho, van der Velden, Bas H M, Canisius, Sander, Lips, Esther H, Loo, Claudette E, Viergever, Max A, Wesseling, Jelle, Gilhuijs, Kenneth G A, Wessels, Lodewyk F A

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Volumetric breast density estimation on MRI using explainable deep learning regression von van der Velden, Bas H. M., Janse, Markus H. A., Ragusi, Max A. A., Loo, Claudette E., Gilhuijs, Kenneth G. A.

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Detection of extra-axillary lymph node involvement with FDG PET/CT in patients with stage II–III breast cancer von Aukema, Tjeerd S, Straver, Marieke E, Peeters, Marie-Jeanne T.F.D. Vrancken, Russell, Nicola S, Gilhuijs, Kenneth G.A, Vogel, Wouter V, Rutgers, Emiel J.T, Olmos, Renato A. Valdés

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Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index von Ragusi, Max A. A., Loo, Claudette E., van der Velden, Bas H. M., Wesseling, Jelle, Linn, Sabine C., Beets-Tan, Regina G., Elias, Sjoerd G., Gilhuijs, Kenneth G. A.

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Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts von Wang, Hui, van der Velden, Bas H M, Verburg, Erik, Bakker, Marije F, Pijnappel, Ruud M, Veldhuis, Wouter B, van Gils, Carla H, Gilhuijs, Kenneth G A

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Synchronous Breast Cancer: Phenotypic Similarities on MRI von Wang, Hui, Velden, Bas H.M., Chan, Hui Shan M., Loo, Claudette E., Viergever, Max A., Gilhuijs, Kenneth G.A.

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Breast tomosynthesis in clinical practice: initial results von Teertstra, Hendrik J., Loo, Claudette E., van den Bosch, Maurice A. A. J., van Tinteren, Harm, Rutgers, Emiel J. T., Muller, Sara H., Gilhuijs, Kenneth G. A.

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Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer von van der Velden, Bas H M, Dmitriev, Ivan, Loo, Claudette E, Pijnappel, Ruud M, Gilhuijs, Kenneth G A

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Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial von Wang, Hui, H.M.van der Velden, Bas, Verburg, Erik, Bakker, Marije F., Pijnappel, Ruud M., Veldhuis, Wouter B., van Gils, Carla H., Gilhuijs, Kenneth G.A.

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Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER + /HER2 - Breast Cancer von van der Velden, Bas H M, Elias, Sjoerd G, Bismeijer, Tycho, Loo, Claudette E, Viergever, Max A, Wessels, Lodewyk F A, Gilhuijs, Kenneth G A

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A practical approach to manage additional lesions at preoperative breast MRI in patients eligible for breast conserving therapy: results von Elshof, Lotte E., Rutgers, Emiel J. Th, Deurloo, Eline E., Loo, Claudette E., Wesseling, Jelle, Pengel, Kenneth E., Gilhuijs, Kenneth G.A.

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Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer von Loo, Claudette E, Rigter, Lisanne S, Pengel, Kenneth E, Wesseling, Jelle, Rodenhuis, Sjoerd, Peeters, Marie-Jeanne T F D Vrancken, Sikorska, Karolina, Gilhuijs, Kenneth G A

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Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study von Janse, Markus H. A., Janssen, Liselore M., Velden, Bas H. M., Moman, Maaike R., Wolters‐van der Ben, Elian J. M., Kock, Marc C. J. M., Viergever, Max A., Diest, Paul J., Gilhuijs, Kenneth G. A.

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MR-Guided High-Intensity Focused Ultrasound Ablation of Breast Cancer with a Dedicated Breast Platform von Merckel, Laura G., Bartels, Lambertus W., Köhler, Max O., van den Bongard, H. J. G. Desirée, Deckers, Roel, Mali, Willem P. Th. M., Binkert, Christoph A., Moonen, Chrit T., Gilhuijs, Kenneth G. A., van den Bosch, Maurice A. A. J.

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Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study – a multi... von Janssen, Liselore M, Suelmann, Britt B M, Elias, Sjoerd G, Janse, Markus H A, van Diest, Paul J, van der Wall, Elsken, Gilhuijs, Kenneth G A

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