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Scientific Reports|February 4, 2018
Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRStefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, et al.
European Radiology|September 21, 2007
Contrast-enhanced 3.0-T breast MRI for characterization of breast lesions: increased specificity by using vascular mapsA C Schmitz, N H G M Peters, W B Veldhuis, et al.
Trials|November 30, 2007
Breast MRI in nonpalpable breast lesions: a randomized trial with diagnostic and therapeutic outcome - MONET - studyNicky H G M Peters, Inne H M Borel Rinkes, Willem P T M Mali, et al.
European Radiology|October 1, 2013
3-T breast magnetic resonance imaging in patients with suspicious microcalcifications on mammographyB L Stehouwer, L G Merckel, H M Verkooijen, et al.
Plos One|April 10, 2014
The added diagnostic value of dynamic contrast-enhanced MRI at 3.0 T in nonpalpable breast lesionsLaura G Merckel, Helena M Verkooijen, Nicky H G M Peters, et al.
European Radiology|April 15, 2017
Diffusion-weighted MRI to assess response to chemoradiotherapy in rectal cancer: main interpretation pitfalls and their use for teachingDoenja M J Lambregts, Miriam M van Heeswijk, Andrea Delli Pizzi, et al.
European Radiology|February 8, 2016
First clinical experience with a dedicated MRI-guided high-intensity focused ultrasound system for breast cancer ablationLaura G Merckel, Floor M Knuttel, Roel Deckers, et al.
European Journal of Cancer (Oxford, England : 1990)|January 4, 2011
Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET - randomised controlled trialN H G M Peters, S van Esser, M A A J van den Bosch, et al.
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