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Suzan Vreemann
Suzan Vreemann
PhD student Technical Medicine
Verified email at radboudumc.nl
Title
Cited by
Cited by
Year
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
MU Dalmış, G Litjens, K Holland, A Setio, R Mann, N Karssemeijer, ...
Medical physics 44 (2), 533-546, 2017
1622017
Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI
MU Dalmis, A Gubern-Mérida, S Vreemann, P Bult, N Karssemeijer, ...
Investigative radiology 54 (6), 325-332, 2019
612019
Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography
JCM van Zelst, RDM Mus, G Woldringh, MJCM Rutten, P Bult, ...
Radiology 285 (2), 376-388, 2017
572017
Multireader study on the diagnostic accuracy of ultrafast breast magnetic resonance imaging for breast cancer screening
JCM van Zelst, S Vreemann, HJ Witt, A Gubern-Merida, MD Dorrius, ...
Investigative radiology 53 (10), 579-586, 2018
542018
Fully automated detection of breast cancer in screening MRI using convolutional neural networks
MU Dalmış, S Vreemann, T Kooi, RM Mann, N Karssemeijer, ...
Journal of Medical Imaging 5 (1), 014502, 2018
442018
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 …
S Vreemann, A Gubern-Mérida, MS Schlooz-Vries, P Bult, CH Van Gils, ...
Radiology 286 (2), 443-451, 2018
402018
The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI
S Vreemann, J van Zelst, M Schlooz-Vries, P Bult, N Hoogerbrugge, ...
Breast Cancer Research 20 (1), 1-12, 2018
352018
Compressed sensing for breast MRI: resolving the trade-off between spatial and temporal resolution
S Vreemann, A Rodriguez-Ruiz, D Nickel, L Heacock, L Appelman, ...
Investigative radiology 52 (10), 574-582, 2017
342017
A computer‐aided diagnosis system for breast DCE‐MRI at high spatiotemporal resolution
MU Dalmış, A Gubern‐Mérida, S Vreemann, N Karssemeijer, R Mann, ...
Medical physics 43 (1), 84-94, 2016
332016
New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers
A Rodriguez-Ruiz, J Teuwen, S Vreemann, RW Bouwman, RE van Engen, ...
Acta Radiologica 59 (9), 1051-1059, 2018
262018
The frequency of missed breast cancers in women participating in a high-risk MRI screening program
S Vreemann, A Gubern-Merida, S Lardenoije, P Bult, N Karssemeijer, ...
Breast cancer research and treatment 169 (2), 323-331, 2018
232018
Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk
A Gubern-Mérida, S Vreemann, R Martí, J Melendez, S Lardenoije, ...
European journal of radiology 85 (2), 472-479, 2016
232016
3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging
T Mertzanidou, JH Hipwell, S Reis, DJ Hawkes, B Ehteshami Bejnordi, ...
Medical physics 44 (3), 935-948, 2017
182017
The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers
S Vreemann, A Gubern-Merida, C Borelli, P Bult, N Karssemeijer, ...
PLoS One 13 (1), e0191399, 2018
172018
Is ultrafast or abbreviated breast MRI ready for prime time?
RM Mann, J van Zelst, S Vreemann, RDM Mus
Current Breast Cancer Reports 11 (1), 9-16, 2019
152019
Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program
S Vreemann, MU Dalmis, P Bult, N Karssemeijer, MJM Broeders, ...
European radiology 29 (9), 4678-4690, 2019
122019
Optimising magnetic sentinel lymph node biopsy in an in vivo porcine model
M Ahmed, B Anninga, JJ Pouw, S Vreemann, M Peek, M Van Hemelrijck, ...
Nanomedicine: nanotechnology, biology and medicine 11 (4), 993-1002, 2015
112015
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI
MU Dalmiş, A Gubern-Mérida, C Borelli, S Vreemann, RM Mann, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 146-152, 2016
62016
Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes
A Rodríguez‐Ruiz, SSJ Feng, J van Zelst, S Vreemann, JR Mann, ...
Medical physics 44 (6), 2161-2172, 2017
52017
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study
A Rodriguez-Ruiz, RE van Engen, K Michielsen, RW Bouwman, ...
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 470-480, 2018
42018
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