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Suzan Vreemann
Suzan Vreemann
PhD student Technical Medicine
Verified email at radboudumc.nl
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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
2312017
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
1072019
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), 014502-014502, 2018
1002018
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
792018
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
732017
Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation …
S Vreemann, A Gubern-Mérida, MS Schlooz-Vries, P Bult, CH Van Gils, ...
Radiology 286 (2), 443-451, 2018
582018
The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI
S Vreemann, JCM van Zelst, M Schlooz-Vries, P Bult, N Hoogerbrugge, ...
Breast Cancer Research 20, 1-12, 2018
502018
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
492017
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
432016
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
412018
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, 323-331, 2018
302018
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
272016
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
262017
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: A …
S Vreemann, MU Dalmis, P Bult, N Karssemeijer, MJM Broeders, ...
European Radiology 29, 4678-4690, 2019
242019
Is ultrafast or abbreviated breast MRI ready for prime time?
RM Mann, JCM van Zelst, S Vreemann, RDM Mus
Current Breast Cancer Reports 11, 9-16, 2019
212019
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
192018
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
132017
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
122015
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
Interventional cardiac magnetic resonance imaging: current applications, technology readiness level, and future perspectives
SC Rier, S Vreemann, WH Nijhof, VJHM van Driel, IAC van der Bilt
Therapeutic Advances in Cardiovascular Disease 16, 17539447221119624, 2022
52022
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