20002020

Research output per year

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Personal profile

Research student supervision

Prospective MRes/PhD Students

Teaching

Teaching

  • ELEC317: Medical Image and Signal Processing (Undergrad.)
  • ENGG255: Data Analysis and Visualisation (Undergrad.)

Research student supervision

Supervision & Mentoring

  1. Mina Ghaffari, PhD Student [PS]

(PS: Principal Supervisor; AS: Associate Supervisor)

Education/Academic qualification

Physics, PhD, University College London

Biomedical Imaging, MRes, University College London

Bioengineering, MSc DIC, Imperial College

Physics, BSc ARCS, Imperial College

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Projects

Research Outputs

  • Brain perfusion, regional volumes and cognitive function in HIV positive patients treated with protease inhibitor monotherapy

    Haddow, L. J., Godi, C., Sokolska, M., Cardoso, M. J., Oliver, R., Winston, A., Stöhr, W., Clarke, A., Chen, F., Williams, I. G., Johnson, M., Paton, N., Arenas-Pinto, A., Golay, X. & Jäger, H. R., 5 Mar 2019, In : Clinical Infectious Diseases. 68, 6, p. 1031-1040 10 p.

    Research output: Contribution to journalArticle

  • Multimodal brain tumour segmentation using densely connected 3D convolutional neural network

    Ghaffari, M., Sowmya, A., Oliver, R. & Hamey, L., 2019, 2019 Digital Image Computing: Techniques and Applications (DICTA). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • Automatic segmentation of thigh muscle in longitudinal 3D T1-weighted magnetic resonance (MR) images

    Tang, Z., Wang, C., Hoang, P., Liu, S., Cai, W., Soligo, D., Oliver, R., Barnett, M. & Fornusek, C., 1 Jan 2018, Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis: First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings. Melbourne, A., Licandro, R., DiFranco, M., Rota, P., Gau, M., Kampel, M., Aughwane, R., Moeskops, P., Schwartz, E., Robinson, E. & Makropoulos, A. (eds.). Springer-VDI-Verlag GmbH & Co. KG, p. 14-21 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11076 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • Arterial spin labelling measurements of cortical perfusion in multiple sclerosis show widespread reduced cortical metabolism

    Oliver, R., Beadnall, H. N., Wang, C., Kiernan, M., Hardy, T. & Barnett, M., 2017.

    Research output: Contribution to conferenceAbstract