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Suzan Vreemann

Researcher at Radboud University Nijmegen

Publications -  22
Citations -  603

Suzan Vreemann is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Breast MRI & Breast cancer. The author has an hindex of 13, co-authored 21 publications receiving 407 citations. Previous affiliations of Suzan Vreemann include Radboud University Nijmegen Medical Centre & New York University.

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Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.

TL;DR: Use of adjunct imaging and PI has a significant contribution in diagnostic performance of ultrafast breast MRI and the developed AI system for interpretation of multiparametric ultra fast breast MRI may improve specificity.
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Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography

TL;DR: It is suggested that carriers of the BRCA mutation younger than 40 years may not benefit from FFD mammography surveillance in addition to DCE MR imaging.
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Fully automated detection of breast cancer in screening MRI using convolutional neural networks.

TL;DR: A CADe system that is able to exploit the spatial information obtained from the early-phase scans and can be used in screening programs where abbreviated MRI protocols are used is developed.
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Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation and Other Women at Increased Risk

TL;DR: Screening performance was dependent on risk category and sensitivity was lowest in carriers of the BRCA1 mutation, while the specificity of high-risk breast screening improved at follow-up rounds.