| 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 | 775 | 2017 |
| 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 | 258 | 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 | 162 | 2017 |
| 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 |
| 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 Martí, N Karssemeijer IEEE Journal of Biomedical and Health Informatics, 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 Lĺng, A Gubern-Merida, J Teuwen, M Broeders, ... European radiology 29 (9), 4825-4832, 2019 | 108 | 2019 |
| Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer International workshop on breast imaging, 35-42, 2016 | 75 | 2016 |
| 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 | 64 | 2017 |
| 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 | 61 | 2019 |
| 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 | 54 | 2018 |
| 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, 2018 | 44 | 2018 |
| Segmentation of the pectoral muscle in breast MRI using atlas-based approaches A Gubern-Mérida, M Kallenberg, R Martí, N Karssemeijer International conference on medical image computing and computer-assisted …, 2012 | 44 | 2012 |
| 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, ... International Workshop on Breast Imaging, 51-56, 2016 | 42 | 2016 |
| Influence of risk category and screening round on the performance of an MR imaging and mammography screening program in carriers of the BRCA mutation and other women at … S Vreemann, A Gubern-Mérida, MS Schlooz-Vries, P Bult, CH Van Gils, ... Radiology 286 (2), 443-451, 2018 | 40 | 2018 |
| Automated lesion detection and segmentation in digital mammography using a u-net deep learning network T De Moor, A Rodriguez-Ruiz, AG Mérida, R Mann, J Teuwen 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 23-29, 2018 | 36 | 2018 |
| The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI S Vreemann, J van Zelst, M Schlooz-Vries, P Bult, N Hoogerbrugge, ... Breast Cancer Research 20 (1), 1-12, 2018 | 35 | 2018 |
| Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound T Tan, JJ Mordang, J van Zelst, A Grivegnée, A Gubern‐Mérida, ... Medical physics 42 (4), 1498-1504, 2015 | 35 | 2015 |
| 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 | 33 | 2016 |
| One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more? A Rodriguez-Ruiz, A Gubern-Merida, M Imhof-Tas, S Lardenoije, ... European radiology 28 (5), 1938-1948, 2018 | 27 | 2018 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
