Transfer learning for domain adaptation in mri: Application in brain lesion segmentation M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 429 | 2017 |
Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 347 | 2017 |
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ... Scientific Reports 7 (1), 5110, 2017 | 292 | 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 | 236 | 2014 |
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin M Ghafoorian, N Karssemeijer, T Heskes, M Bergkamp, J Wissink, J Obels, ... NeuroImage: Clinical 14, 391-399, 2017 | 176 | 2017 |
Evaluating white matter lesion segmentations with refined Sřrensen-Dice analysis A Carass, S Roy, A Gherman, JC Reinhold, A Jesson, T Arbel, O Maier, ... Scientific reports 10 (1), 8242, 2020 | 173 | 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 | 158 | 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 | 152 | 2014 |
Structural and resting state functional connectivity of the subthalamic nucleus: identification of motor STN parts and the hyperdirect pathway EJL Brunenberg, P Moeskops, WH Backes, C Pollo, L Cammoun, ... PloS one 7 (6), e39061, 2012 | 148 | 2012 |
Nonlinear temporal dynamics of cerebral small vessel disease: the RUN DMC study EMC van Leijsen, IWM Van Uden, M Ghafoorian, MI Bergkamp, V Lohner, ... Neurology 89 (15), 1569-1577, 2017 | 134 | 2017 |
Cerebral small vessel disease and incident parkinsonism: the RUN DMC study HM Van Der Holst, IWM van Uden, AM Tuladhar, KF de Laat, ... Neurology 85 (18), 1569-1577, 2015 | 121 | 2015 |
Computer-aided detection of cancer in automated 3-D breast ultrasound T Tan, B Platel, R Mus, L Tabar, RM Mann, N Karssemeijer IEEE transactions on medical imaging 32 (9), 1698-1706, 2013 | 115 | 2013 |
Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation T Tan, B Platel, H Huisman, CI Sánchez, R Mus, N Karssemeijer IEEE transactions on medical imaging 31 (5), 1034-1042, 2012 | 107 | 2012 |
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 | 100 | 2017 |
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation M Ghafoorian, N Karssemeijer, T Heskes, IWM Van Uder, FE de Leeuw, ... 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1414-1417, 2016 | 97 | 2016 |
Progression of white matter hyperintensities preceded by heterogeneous decline of microstructural integrity EMC Van Leijsen, MI Bergkamp, IWM Van Uden, M Ghafoorian, ... Stroke 49 (6), 1386-1393, 2018 | 94 | 2018 |
Automated detection of cerebral microbleeds in patients with traumatic brain injury TLA Van den Heuvel, AW Van Der Eerden, R Manniesing, M Ghafoorian, ... NeuroImage: Clinical 12, 241-251, 2016 | 90 | 2016 |
Automated characterization of breast lesions imaged with an ultrafast DCE-MR protocol B Platel, R Mus, T Welte, N Karssemeijer, R Mann IEEE transactions on medical imaging 33 (2), 225-232, 2013 | 88 | 2013 |
White matter changes and gait decline in cerebral small vessel disease HM van der Holst, AM Tuladhar, V Zerbi, IWM van Uden, KF de Laat, ... Neuroimage: clinical 17, 731-738, 2018 | 87 | 2018 |
Parameter sensitivity visualization for DTI fiber tracking R Brecheisen, A Vilanova, B Platel, B ter Haar Romeny IEEE Transactions on Visualization and Computer Graphics 15 (6), 1441-1448, 2009 | 85 | 2009 |