King's College London

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Mr Markus Schirmer

  1. Parcellation-Independent Multi-Scale Framework for Brain Network Analysis

    Schirmer, M. D., Ball, G., Counsell, S. J., Edwards, A. D., Rueckert, D., Hajnal, J. V. & Aljabar, P. 2014 Computational Diffusion MRI. Springer/Kluwer, p. 23-32 10 p.

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

  2. Super-Resolved Micro-Vascular Imaging Using Microbubbles and Machine Learning

    Christensen-Jeffries, K., Schirmer, M., Browning, R., Tang, M-X., Dunsby, C., Aljabar, P. & Eckersley, R. 2014 IEEE EMBS 2014 Micro and Nanotechnology in Medicine Conference. p. 108 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  3. Normalisation of neonatal brain network measures using stochastic approaches

    Schirmer, M., Ball, G., Counsell, S. J., Edwards, A. D., Rueckert, D., Hajnal, J. V. & Aljabar, P. 2013 Medical image computing and computer-assisted intervention: Proceedings of the 16th International Conference, Nagoya, Japan, September 22-26, 2013, Part 1. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). 1 ed. Springer Berlin Heidelberg, Vol. 16, p. 574-581 8 p. (Lecture Notes in Computer Science; vol. 8149)

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  4. Biomedical applications of a real-time terahertz color scanner

    Schirmer, M., Fujio, M., Minami, M., Miura, J., Araki, T. & Yasui, T. 1 Sep 2010 In : biomedical optics express. 1, 2, p. 354-366 13 p., N/A

    Research output: Contribution to journalArticle

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