| 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 | 238 | 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 | 116 | 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 | 103 | 2018 |
| 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 | 83 | 2018 |
| Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography JCM van Zelst, RDM Mus, G Woldringh, MJCM Rutten, P Bult, ... Radiology 285 (2), 376-388, 2017 | 76 | 2017 |
| 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 | 64 | 2018 |
| 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 | 55 | 2018 |
| Compressed sensing for breast MRI: resolving the trade-off between spatial and temporal resolution S Vreemann, A Rodriguez-Ruiz, D Nickel, L Heacock, L Appelman, ... Investigative radiology 52 (10), 574-582, 2017 | 52 | 2017 |
| 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 | 45 | 2016 |
| New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers A Rodriguez-Ruiz, J Teuwen, S Vreemann, RW Bouwman, RE van Engen, ... Acta Radiologica 59 (9), 1051-1059, 2018 | 40 | 2018 |
| The frequency of missed breast cancers in women participating in a high-risk MRI screening program S Vreemann, A Gubern-Merida, S Lardenoije, P Bult, N Karssemeijer, ... Breast cancer research and treatment 169, 323-331, 2018 | 33 | 2018 |
| 3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging T Mertzanidou, JH Hipwell, S Reis, DJ Hawkes, B Ehteshami Bejnordi, ... Medical physics 44 (3), 935-948, 2017 | 28 | 2017 |
| Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program: A … S Vreemann, MU Dalmis, P Bult, N Karssemeijer, MJM Broeders, ... European Radiology 29, 4678-4690, 2019 | 27 | 2019 |
| Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk A Gubern-Mérida, S Vreemann, R Martí, J Melendez, S Lardenoije, ... European journal of radiology 85 (2), 472-479, 2016 | 27 | 2016 |
| Is ultrafast or abbreviated breast MRI ready for prime time? RM Mann, JCM van Zelst, S Vreemann, RDM Mus Current Breast Cancer Reports 11, 9-16, 2019 | 26 | 2019 |
| The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers S Vreemann, A Gubern-Merida, C Borelli, P Bult, N Karssemeijer, ... PLoS One 13 (1), e0191399, 2018 | 19 | 2018 |
| Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes A Rodríguez‐Ruiz, SSJ Feng, J van Zelst, S Vreemann, JR Mann, ... Medical physics 44 (6), 2161-2172, 2017 | 15 | 2017 |
| Optimising magnetic sentinel lymph node biopsy in an in vivo porcine model M Ahmed, B Anninga, JJ Pouw, S Vreemann, M Peek, M Van Hemelrijck, ... Nanomedicine: Nanotechnology, Biology and Medicine 11 (4), 993-1002, 2015 | 13 | 2015 |
| Interventional cardiac magnetic resonance imaging: current applications, technology readiness level, and future perspectives SC Rier, S Vreemann, WH Nijhof, VJHM van Driel, IAC van der Bilt Therapeutic Advances in Cardiovascular Disease 16, 17539447221119624, 2022 | 11 | 2022 |
| A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI MU Dalmiş, A Gubern-Mérida, C Borelli, S Vreemann, RM Mann, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 146-152, 2016 | 7 | 2016 |
