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Journal of Medical Imaging (Bellingham, Wash.)|January 18, 2018
Fully automated detection of breast cancer in screening MRI using convolutional neural networksMehmet Ufuk Dalmış, Suzan Vreemann, Thijs Kooi, et al.
Medical Physics|January 10, 2016
A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolutionMehmet Ufuk Dalmış, Albert Gubern-Mérida, Suzan Vreemann, et al.
Investigative Radiology|January 18, 2019
Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWIMehmet U Dalmiş, Albert Gubern-Mérida, Suzan Vreemann, et al.
European Journal of Radiology|January 20, 2016
Automated detection of breast cancer in false-negative screening MRI studies from women at increased riskAlbert Gubern-Mérida, Suzan Vreemann, Robert Martí, et al.
Therapeutic Advances in Cardiovascular Disease|August 30, 2022
Interventional cardiac magnetic resonance imaging: current applications, technology readiness level, and future perspectivesSophie C Rier, Suzan Vreemann, Wouter H Nijhof, et al.
Medical Physics|March 1, 2017
Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapesAlejandro Rodríguez-Ruiz, Steve Si Jia Feng, Jan van Zelst, et al.
Nanomedicine : Nanotechnology, Biology, and Medicine|February 15, 2015
Optimising magnetic sentinel lymph node biopsy in an in vivo porcine modelMuneer Ahmed, Bauke Anninga, Joost J Pouw, et al.
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