| 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 | 1146 | 2017 |
| 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 | 664 | 2019 |
| 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 | 251 | 2017 |
| 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, 4825-4832, 2019 | 228 | 2019 |
| 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 | 161 | 2015 |
| Volumetric breast density estimation from full-field digital mammograms: a validation study A Gubern-Mérida, M Kallenberg, B Platel, RM Mann, R Martí, ... PloS one 9 (1), e85952, 2014 | 153 | 2014 |
| Breast segmentation and density estimation in breast MRI: A fully automatic framework A Gubern-Mérida, M Kallenberg, RM Mann, R Martí, N Karssemeijer IEEE Journal of Biomedical and Health Informatics, 2014 | 148 | 2014 |
| AI-based strategies to reduce workload in breast cancer screening with mammography and tomosynthesis: a retrospective evaluation JL Raya-Povedano, S Romero-Martín, E Elías-Cabot, A Gubern-Mérida, ... Radiology 300 (1), 57-65, 2021 | 131 | 2021 |
| Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI MU Dalmiş, A Gubern-Mérida, S Vreemann, P Bult, N Karssemeijer, ... Investigative radiology 54 (6), 325-332, 2019 | 118 | 2019 |
| 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 | 108 | 2018 |
| Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions RD Mus, C Borelli, P Bult, E Weiland, N Karssemeijer, JO Barentsz, ... European journal of radiology 89, 90-96, 2017 | 106 | 2017 |
| Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016 | 96 | 2016 |
| 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 | 85 | 2018 |
| Stand-alone use of artificial intelligence for digital mammography and digital breast tomosynthesis screening: a retrospective evaluation S Romero-Martín, E Elías-Cabot, JL Raya-Povedano, A Gubern-Mérida, ... Radiology 302 (3), 535-542, 2022 | 70 | 2022 |
| Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study SL van Winkel, A Rodríguez-Ruiz, L Appelman, A Gubern-Mérida, ... European radiology 31 (11), 8682-8691, 2021 | 68 | 2021 |
| 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 | 68 | 2018 |
| The importance of early detection of calcifications associated with breast cancer in screening JJ Mordang, A Gubern-Mérida, A Bria, F Tortorella, RM Mann, ... Breast cancer research and treatment 167, 451-458, 2018 | 67 | 2018 |
| A comparison between a deep convolutional neural network and radiologists for classifying regions of interest in mammography T Kooi, A Gubern-Merida, JJ Mordang, R Mann, R Pijnappel, K Schuur, ... Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016 | 62 | 2016 |
| 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 | 56 | 2018 |
| Segmentation of the pectoral muscle in breast MRI using atlas-based approaches A Gubern-Mérida, M Kallenberg, R Martí, N Karssemeijer Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 54 | 2012 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenEmail verificata su radboudumc.nl
