Mark Jenkinson

Professor, BSc, BE, DPhil

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

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Personal profile

Public Profile

Mark Jenkinson is Professor of Neuroimaging at both the University of Adelaide and the University of Oxford. He has considerable research experience in medical image analysis, particularly human brain imaging using Magnetic Resonance Imaging (MRI), as well as machine learning and statistics. In the University of Oxford he has run the structural image analysis group in the FMRIB Centre since 2003, and in 2019 he was appointed to a 0.5 FTE position with South Australian Health and Medical Research Institute (SAHMRI), the Australian Machine Learning Institute (AIML and the University of Adelaide, alongside his 0.5 FTE position at the University of Oxford. Prof. Jenkinson has a strong track record of developing world-leading image analysis methodology and is a co-founder and the principal developer of the FSL software package, which is the most widely used software package covering the analysis of structural, diffusion and functional MR images of the brain, being used in over 2000 laboratories worldwide. He has been an investigator in major UK and international projects, with total awards over $100 million, and including the largest and most cutting-edge multimodal neuroimaging datasets ever assembled – the UK Biobank and the NIH Human Connectome Project. He has over 200 publications with more than 35,000 citations in the last 5 years (and with over 55,000 lifetime citations). Professor Jenkinson is an invited member of international standardisation committees (INCF Human Atlas Working Group and the NIH Data Format Working Group), co-editor and author of a series of textbooks on neuroimaging analysis, and has been recognized for his work in neuroimaging research by numerous awards, including a David Phillips Fellowship and a member of the highly cited researchers list for five years.

Education/Academic qualification

PhD, University of Oxford

30 Sep 199530 Oct 1999

Award Date: 30 Oct 1999

Bachelor of Science (Honours), University of Adelaide

1 Mar 19891 Dec 1994

Award Date: 1 Dec 1994

Bachelor's Degree (Honours), University of Adelaide

1 Mar 19891 Dec 1993

Award Date: 1 Dec 1993

External positions

Professor of Neuroimaging, University of Adelaide

18 Mar 2019 → …

Professor of Neuroimaging, University of Oxford

1 Jul 2014 → …


  • neuroimaging
  • image analysis
  • machine learning
  • medical imaging


Recent external collaboration on country level. Dive into details by clicking on the dots or
  • Cortical diffusivity investigation in posterior cortical atrophy and typical Alzheimer’s disease

    Torso, M., Ahmed, S., Butler, C., Zamboni, G., Jenkinson, M. & Chance, S., Jan 2021, In: Journal of Neurology. 268, 1, p. 227-239 13 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    1 Citation (Scopus)
  • Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

    Dinsdale, N. K., Jenkinson, M. & Namburete, A. I. L., Mar 2021, In: NeuroImage. 228, 117689.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Learning patterns of the ageing brain in MRI using deep convolutional networks

    Dinsdale, N. K., Bluemke, E., Smith, S. M., Arya, Z., Vidaurre, D., Jenkinson, M. & Namburete, A. I. L., 1 Jan 2021, In: NeuroImage. 224, 117401.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities

    Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizabal, C. L., Yanek, L. R., Wen, W., Gudnason, V. G., Dueker, N. D., Elliott, L. T., Hofer, E., Bis, J., Jahanshad, N., Li, S., Logue, M. A., Luciano, M., Scholz, M., Smith, A. V., Trompet, S. & 66 others, Vojinovic, D., Xia, R., Alfaro-Almagro, F., Ames, D., Amin, N., Amouyel, P., Beiser, A. S., Brodaty, H., Deary, I. J., Fennema-Notestine, C., Gampawar, P. G., Gottesman, R., Griffanti, L., Jack, C. R., Jenkinson, M., Jiang, J., Kral, B. G., Kwok, J. B., Lampe, L., Liewald, D. C. M., Maillard, P., Marchini, J., Bastin, M. E., Mazoyer, B., Pirpamer, L., Romero, J. R., Roshchupkin, G. V., Schofield, P. R., Schroeter, M. L., Stott, D. J., Thalamuthu, A., Trollor, J., Tzourio, C., van der Grond, J., Vernooij, M. W., Witte, V. A., Wright, M. J., Yang, Q., Morris, Z., Siggurdsson, S., Psaty, B., Villringer, A., Schmidt, H., Haberg, A. K., van Duijn, C. M., Wouter Jukema, J., Dichgans, M., Sacco, R. L., Wright, C. B., Kremen, W. S., Becker, L. C., Thompson, P. M., Mosley, T. H., Wardlaw, J. M., Ikram, M. A., Adams, H. H. H., Seshadri, S., Sachdev, P. S., Smith, S. M., Launer, L., Longstreth, W., DeCarli, C., Schmidt, R., Fornage, M., Debette, S. & Nyquist, P. A., Jul 2020, In: Stroke. 51, 7, p. 2112-2121 10 p.

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)
  • Cortical plate segmentation using CNNs in 3D fetal ultrasound

    Wyburd, M. K., Jenkinson, M. & Namburete, A. I. L., 1 Jan 2020, Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings. Papiez, B. W., Namburete, A. I. L., Yaqub, M., Noble, J. A. & Yaqub, M. (eds.). Springer, p. 56-68 13 p. (Communications in Computer and Information Science; vol. 1248 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
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