| 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 | 806 | 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 | 753 | 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 | 299 | 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 | 292 | 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 | 252 | 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 | 251 | 2019 |
| Detection of breast cancer with mammography: effect of an artificial intelligence support system A Rodríguez-Ruiz, E Krupinski, JJ Mordang, K Schilling, ... Radiology 290 (2), 305-314, 2019 | 235 | 2019 |
| 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 | 212 | 2010 |
| Breast MRI: state of the art RM Mann, N Cho, L Moy Radiology 292 (3), 520-536, 2019 | 202 | 2019 |
| 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 | 168 | 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 | 161 | 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 | 160 | 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 | 151 | 2017 |
| Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives KJ Geras, RM Mann, L Moy Radiology 293 (2), 246-259, 2019 | 135 | 2019 |
| Volumetric breast density estimation from full-field digital mammograms: a validation study A Gubern-Merida, M Kallenberg, B Platel, RM Mann, R Martí, ... PloS one 9 (1), e85952, 2014 | 126 | 2014 |
| 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 | 121 | 2015 |
| Breast segmentation and density estimation in breast MRI: a fully automatic framework A Gubern-Merida, M Kallenberg, RM Mann, R Marti, N Karssemeijer IEEE journal of biomedical and health informatics 19 (1), 349-357, 2014 | 121 | 2014 |
| Contrast‐enhanced MRI for breast cancer screening RM Mann, CK Kuhl, L Moy Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019 | 117 | 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 | 114 | 2020 |
| 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 | 104 | 2019 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
