Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

Mohsen Ghafoorian

I am a last year Ph.D. candidate at the Radboud University, the Netherlands and I work on application of deep learning techniques on neuro-image analysis. My project is in collaboration between the Machine Learning and the Diagnostic Image Analysis Groups and is under the supervision of Dr. Bram Platel, [v Prof. Elena Marchiori], Prof. Nico Karssemeijer and Prof. Tom Heskes. I am currently on a six months research visit to the Surgical Planning Laboratory, Harvard Medical School, under the supervision of Prof. William Wells III.

Research Interests

  • Machine Learning
  • Deep Neural Networks
  • Reinforcement Learning
  • Medical Image Analysis

Short Biography

Curriculum Vitae

PDF version of my CV

Publications

International Conferences

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

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, arXiv preprint arXiv:1702.07841 (2017) (under review)

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

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) 391-9.

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): 6246-58.

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, under review

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): 241-51.

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.

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