U
Ulrich Bick
Researcher at Charité
Publications - 76
Citations - 3425
Ulrich Bick is an academic researcher from Charité. The author has contributed to research in topics: Mammography & Breast cancer. The author has an hindex of 26, co-authored 74 publications receiving 2965 citations. Previous affiliations of Ulrich Bick include Humboldt University of Berlin & Praxis.
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Journal ArticleDOI
Breast MRI: EUSOBI recommendations for women's information.
Ritse M. Mann,Corinne Balleyguier,Pascal A. T. Baltzer,Ulrich Bick,Catherine Colin,Eleanor Cornford,Andrew Evans,Eva M. Fallenberg,Gabor Forrai,Michael Fuchsjäger,Fiona J. Gilbert,Thomas H. Helbich,Sylvia H. Heywang-Köbrunner,Julia Camps-Herrero,Christiane K. Kuhl,Laura Martincich,Federica Pediconi,Pietro Panizza,Luis Pina,Ruud M. Pijnappel,Katja Pinker-Domenig,Per Skaane,Francesco Sardanelli +22 more
TL;DR: Information on breast MRI concerns advantages/disadvantages and preparation to the examination, and Claustrophobia, implantable devices, allergic predisposition, and renal function should be checked.
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Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images.
TL;DR: This work extends the traditional 2D gray‐level co‐occurrence matrix (GLCM) method to investigate a volumetric texture analysis approach and apply it for the characterization of breast MR lesions and shows that the classification performance of volumed texture features is significantly better than that based on 2D analysis.
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Contralateral Breast Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
Monika Graeser,Christoph Engel,Kerstin Rhiem,Dorothea Gadzicki,Ulrich Bick,Karin Kast,Ursula G. Froster,B. Schlehe,Astrid Bechtold,Norbert Arnold,Sabine Preisler-Adams,Carolin Nestle-Kraemling,Mohammad Zaino,Markus Loeffler,Marion Kiechle,Alfons Meindl,Dominic Varga,Rita K. Schmutzler +17 more
TL;DR: Contralateral breast cancer risk depends on age at first breast cancer and on the affected BRCA gene, and this risk should be considered in treatment planning.
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Contrast-enhanced spectral mammography versus MRI: Initial results in the detection of breast cancer and assessment of tumour size.
E. M. Fallenberg,Clarisse Dromain,Felix Diekmann,F. Engelken,M. Krohn,J. M. Singh,Barbara Ingold-Heppner,Klaus-Jürgen Winzer,Ulrich Bick,Diane M. Renz +9 more
TL;DR: Initial results show a better sensitivity of CESM and MRI in breast cancer detection than MG and a good correlation with postoperative histology in size assessment, compared with histopathology.
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Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
TL;DR: A fuzzy c-means (FCM) clustering-based technique for automatically identifying characteristic kinetic curves from breast lesions in DCE-MRI of the breast found to be better than that from the curves obtained by averaging over the entire lesion and similar to kinetic curves generated from regions drawn within the lesion by a radiologist experienced in breast MRI.