Publications

International Conferences:


Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation Paper
M. Ghafoorian, A. Mehrtash, T. Kapur, N. Karssemeijer, E. Marchiori, M. Pesteie, C. Guttmann, F-E de Leeuw, C. Tempany, B. van Ginneken, A. Fedorov, P, Abolmaesumi, B. Platel, W. Wells III,
To appear in Medical Image Computing and Computer Assisted Interventions (MICCAI) 2017.

Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation Paper
Presentation
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, F.E. de Leeuw, B. van Ginneken and B. Platel,
in IEEE International Symposium on Biomedical Imaging, 2016

Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks Paper
A. Mehrtash, A. Sedghi, M. Ghafoorian, M. Taghipour, C. Tempany, W. Wells III, T. Kapur, P. Mousavi, P. Abolmaesumib, and A. Fedorov,
in Proceedings of the SPIE Medical Imaging, 2017

A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation
K. Vijverberg, M. Ghafoorian, I. W.M. van Uden, F.E. de Leeuw, B. Platel and T. Heskes,
in Proceedings of the SPIE Medical Imaging, 2016

Small white matter lesion detection in cerebral small vessel disease Paper Presentation
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, F.E. de Leeuw, E. Marchiori and B. Platel,
in Proceedings of the SPIE Medical Imaging, 2015

Computer aided detection of brain micro-bleeds in traumatic brain injury Poster
T. van den Heuvel, M. Ghafoorian, A. van der Eerden, B. Goraj, T. Andriessen, B. ter Haar Romeny and B. Platel,
in Proceedings of the SPIE Medical Imaging, 2015

Automatic abstraction in reinforcement learning using ant system algorithm Paper Presentation Source
M. Ghafoorian, N. Taghizadeh and H. Beigy,
in AAAI Spring Symposium: Lifelong Machine Learning, 2013


International Journals:


Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities Paper
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sanchez, G. Litjens, F.E. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel,
Nature Scientific Reports, (2017).

Deep Mutli-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin Paper
M. Ghafoorian, N. Karssemeijer, T. Heskes, M. Bergkamp, J. Wissink, J. Obels, K. Keizer, F.E. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel,
NeuroImage Clin. 14, (2017) 391-399

Automated Detection of White Matter Hyperintensities of All Sizes in Cerebral Small Vessel Disease
M. Ghafoorian, N. Karssemeijer, I. van Uden, F.E. de Leeuw, T. Heskes, E. Marchiori and B. Platel,
Medical Physics 43.12 (2016): 6246-6258.

A Survey on Deep Learning in Medical Image Analysis Paper
G. Litjens, T. Kooi, B. Ehteshami, A. Setio, F, Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken, and C. Sanchez,
arXiv preprint arXiv:1702.05747 (2017) (under review).

Automated detection of cerebral microbleeds in patients with Traumatic Brain Injury Paper
T.L.A. van den Heuvel, A.W. van der Eerden, R. Manniesing, M. Ghafoorian, T. Tan, T.M.J.C. Andriessen, T. Vande Vyvere, L. van den Hauwe, B.M. ter Haar Romeny, B.M. Goraj, B. Platel,
NeuroImage: Clinical 12 (2016): 241-251.

Accelerated development of cerebral small vessel disease in young stroke patients Paper
R.M. Arntz, S.M. Broek van den, I.W. van Uden, M. Ghafoorian, B. Platel, L.C. Rutten-Jacobs, N.A. Maaijwee, P. Schaapsmeerders, H.C. Schoonderwaldt, E.J. van Dijk and F.E. de Leeuw,
Neurology (2016): 10-1212.

The rise and fall of cerebral small vessel disease; the RUN DMC study
I.W.M. van Uden, E.M. van Leijsen, M. Ghafoorian, M.I. Bergkamp, V. Lohner, E.C. Kooijmans, H. M. van der Holst, A.M. Tuladhar, D.G. Norris, E.J. van Dijk, L.C. Rutten-Jacobs, B. Platel, C.J. Klijn and F.E. de Leeuw
(under review).