Mohsen Ghafoorian
Mohsen Ghafoorian
Machine Learning R&D Engineer at TomTom
Verified email at - Homepage
TitleCited byYear
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Automatic abstraction in reinforcement learning using ant system algorithm
M Ghafoorian, N Taghizadeh, H Beigy
2013 AAAI Spring Symposium Series, 2013
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
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
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