| A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017 | 3503 | 2017 |
| 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 | 120 | 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), 1-12, 2017 | 114 | 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 | 111 | 2017 |
| 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 | 78 | 2017 |
| Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation M Ghafoorian, N Karssemeijer, T Heskes, I van Uden, FE de Leeuw, ... International Symposium on Biomedical Imaging (ISBI), 1414 - 1417, 2016 | 44 | 2016 |
| Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101342A, 2017 | 38 | 2017 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 37 | 2019 |
| 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 | 37 | 2017 |
| 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 | 36 | 2016 |
| El-gan: Embedding loss driven generative adversarial networks for lane detection M Ghafoorian, C Nugteren, N Baka, O Booij, M Hofmann Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 34 | 2018 |
| Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease M Ghafoorian, N Karssemeijer, IWM van Uden, FE de Leeuw, T Heskes, ... Medical physics 43 (12), 6246-6258, 2016 | 32 | 2016 |
| 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 | 20 | 2018 |
| 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 | 17 | 2018 |
| Accelerated development of cerebral small vessel disease in young stroke patients RM Arntz, SMA van den Broek, IWM van Uden, M Ghafoorian, B Platel, ... Neurology 87 (12), 1212-1219, 2016 | 15 | 2016 |
| Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR M Ghafoorian, J Teuwen, R Manniesing, FE de Leeuw, B van Ginneken, ... Medical Imaging 2018: Image Processing 10574, 105742U, 2018 | 14 | 2018 |
| Small white matter lesion detection in cerebral small vessel disease M Ghafoorian, N Karssemeijer, I van Uden, FE de Leeuw, T Heskes, ... Medical Imaging 2015: Computer-Aided Diagnosis 9414, 941411, 2015 | 12 | 2015 |
| Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks: application to MRI-targeted prostate biopsy A Mehrtash, M Ghafoorian, G Pernelle, A Ziaei, FG Heslinga, K Tuncali, ... IEEE transactions on medical imaging 38 (4), 1026-1036, 2018 | 11 | 2018 |
| Convolutional neural networks for ms lesion segmentation, method description of diag team M Ghafoorian, B Platel Proceedings of the 2015 Longitudinal Multiple Sclerosis Lesion Segmentation …, 2015 | 9 | 2015 |
| Automatic abstraction in reinforcement learning using ant system algorithm M Ghafoorian, N Taghizadeh, H Beigy 2013 AAAI Spring Symposium Series, 2013 | 9 | 2013 |
Bram Platel, PhDDirector of Stichting MS in Beeld (Foundation for MS patients)Verified email at msinbeeld.nl
