Ritse Mann
Ritse Mann
Breast and Interventional Radiologist, Radboudumc
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Cited by
Cited by
Breast MRI: guidelines from the European society of breast imaging
RM Mann, CK Kuhl, K Kinkel, C Boetes
European radiology 18 (7), 1307-1318, 2008
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
Breast MRI: EUSOBI recommendations for women’s information
RM Mann, C Balleyguier, PA Baltzer, U Bick, C Colin, E Cornford, A Evans, ...
European radiology 25 (12), 3669-3678, 2015
MRI compared to conventional diagnostic work-up in the detection and evaluation of invasive lobular carcinoma of the breast: a review of existing literature
RM Mann, YL Hoogeveen, JG Blickman, C Boetes
Breast cancer research and treatment 107 (1), 1-14, 2008
Supplemental MRI screening for women with extremely dense breast tissue
MF Bakker, SV de Lange, RM Pijnappel, RM Mann, PHM Peeters, ...
New England Journal of Medicine 381 (22), 2091-2102, 2019
Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists
A Rodriguez-Ruiz, K Lĺng, A Gubern-Merida, M Broeders, G Gennaro, ...
JNCI: Journal of the National Cancer Institute 111 (9), 916-922, 2019
Detection of breast cancer with mammography: effect of an artificial intelligence support system
A Rodriguez Ruiz, E Krupinski, JJ Mordang, K Schilling, ...
Breast MRI: state of the art
RM Mann, N Cho, L Moy
The impact of preoperative breast MRI on the re-excision rate in invasive lobular carcinoma of the breast
RM Mann, CE Loo, T Wobbes, P Bult, JO Barentsz, KGA Gilhuijs, ...
Breast cancer research and treatment 119 (2), 415-422, 2010
Position paper on screening for breast cancer by the European Society of Breast Imaging (EUSOBI) and 30 national breast radiology bodies from Austria, Belgium, Bosnia and …
F Sardanelli, HS Aase, M Álvarez, E Azavedo, HJ Baarslag, C Balleyguier, ...
European radiology 27 (7), 2737-2743, 2017
A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging
RM Mann, RD Mus, J van Zelst, C Geppert, N Karssemeijer, B Platel
Investigative radiology 49 (9), 579-585, 2014
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
Contrast-enhanced spectral mammography vs. mammography and MRI–clinical performance in a multi-reader evaluation
EM Fallenberg, FF Schmitzberger, H Amer, B Ingold-Heppner, ...
European radiology 27 (7), 2752-2764, 2017
Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives
KJ Geras, RM Mann, L Moy
Radiology 293 (2), 246, 2019
Volumetric breast density estimation from full-field digital mammograms: a validation study
A Gubern-Merida, M Kallenberg, B Platel, RM Mann, R Marti, ...
PloS one 9 (1), e85952, 2014
Contrast‐enhanced MRI for breast cancer screening
RM Mann, CK Kuhl, L Moy
Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019
Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group
P Baltzer, RM Mann, M Iima, EE Sigmund, P Clauser, FJ Gilbert, ...
European radiology 30 (3), 1436-1450, 2020
Automated localization of breast cancer in DCE-MRI
A Gubern-Mérida, R Martí, J Melendez, JL Hauth, RM Mann, ...
Medical image analysis 20 (1), 265-274, 2015
Breast segmentation and density estimation in breast MRI: a fully automatic framework
A Gubern-Mérida, M Kallenberg, RM Mann, R Marti, N Karssemeijer
IEEE journal of biomedical and health informatics 19 (1), 349-357, 2014
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
A Rodriguez-Ruiz, K Lĺng, A Gubern-Merida, J Teuwen, M Broeders, ...
European radiology 29 (9), 4825-4832, 2019
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