Ritse Mann

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Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
Albert Gubern-MéridaScreenPoint MedicalVerified email at screenpointmed.com
Bram Platel, PhDDirector of Stichting MS in Beeld (Foundation for MS patients)Verified email at msinbeeld.nl
Alejandro Rodríguez-RuizValidation Lead at PhilipsVerified email at philips.com
Tao TanSenior Scientist GEVerified email at ge.com
Jelle BarentszProfessor of Radiology, Chairman Radboud Prostate MRI Expert CenterVerified email at radboudumc.nl
Mehmet Ufuk Dalmis, PhDAudio AnalyticVerified email at audioanalytic.com
Mireille BroedersAssociate Professor, Radboud universitair medisch centrum, NijmegenVerified email at radboudumc.nl
Nicoline HoogerbruggeHoogleraar erfelijke kanker, medisch specialistVerified email at gen.umcn.nl
Fiona GilbertProfessor of Radiology, University of CambridgeVerified email at cam.ac.uk
Francesco SardanelliProfessor of Radiology, University of Milan, Research Hospital Policlinico San Donato, Milan, ItalyVerified email at unimi.it
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified email at radboudumc.nl
Robert Martí MarlyAssociate Professor. University of GironaVerified email at udg.edu
Henkjan HuismanAssociate Professor, Radboud University Medical Centre NijmegenVerified email at radboudumc.nl
Thijs KooiLunit Inc.Verified email at thijskooi.com
Geert LitjensRadboud University Medical CenterVerified email at radboudumc.nl
Michiel G.J. KallenbergLaboratory of Geo-information Science and Remote Sensing, Wageningen UniversityVerified email at wur.nl
Clara I. SánchezFull Professor, Informatics Institute, University of AmsterdamVerified email at uva.nl
Chris L. de KorteProfessor Medical Ultrasound Technologies, Radboud University Nijmegen Medical CenterVerified email at radboudumc.nl
Jaime MelendezRadboud University Medical CenterVerified email at radboudumc.nl

Ritse Mann

Breast and Interventional Radiologist, Radboudumc

Verified email at radboudumc.nl

radiologie


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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	814	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	778	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	306	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	295	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	265	2019
Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists A Rodriguez-Ruiz, K Lång, A Gubern-Merida, M Broeders, G Gennaro, ... JNCI: Journal of the National Cancer Institute 111 (9), 916-922, 2019	259	2019
Detection of breast cancer with mammography: effect of an artificial intelligence support system A Rodriguez Ruiz, E Krupinski, JJ Mordang, K Schilling, ...	245	2019
Breast MRI: state of the art RM Mann, N Cho, L Moy	219	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	214	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	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	166	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	162	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	155	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	135	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	130	2014
Contrast‐enhanced MRI for breast cancer screening RM Mann, CK Kuhl, L Moy Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019	126	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	120	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	120	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	120	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 Lång, A Gubern-Merida, J Teuwen, M Broeders, ... European radiology 29 (9), 4825-4832, 2019	108	2019

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