Mark Jenkinson

Professor Mark Jenkinson

Professor of Neuro-Imaging

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Medical image analysis methodology - particularly applied to MRI brain imaging data. Development of deep learning, statistics and model-based image analysis techniques. Particular specialties include: Segmentation of Anatomy and Pathology; Big Data Analysis; Normative Modelling; Registration and Motion Correction of MRI Brain Images; Modelling and Reduction of MR Artefacts.

  • Appointments
    Date Position Institution name
    2019 - ongoing Professor of Neuroimaging University of Adelaide
    2014 - ongoing Professor of Neuroimaging University of Oxford

  • Education
    Date Institution name Country Title
    1995 - 1999 University of Oxford United Kingdom DPhil
    1989 - 1994 University of Adelaide Australia BSc (Hons)
    1989 - 1993 University of Adelaide Australia BE (Hons)

  • Journals
    Year Citation
    2025 Sghirripa, S., Bhalerao, G., Griffanti, L., Gillis, G., Mackay, C., Voets, N., . . . Jenkinson, M. (2025). Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI. Human Brain Mapping, 46(5), e70200-1-e70200-20.
    DOI
    2025 Warrington, S., Torchi, A., Mougin, O., Campbell, J., Ntata, A., Craig, M., . . . Sotiropoulos, S. N. (2025). A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation. Scientific data, 12(1), 609.
    DOI
    2025 Whitbread, L., Laurenz, S., Palmer, L. J., & Jenkinson, M. (2025). Deep-Diffeomorphic Networks for Conditional Brain Templates. HUMAN BRAIN MAPPING, 46(8), 18 pages.
    DOI
    2025 Sundaresan, V., Zamboni, G., Dineen, R. A., Auer, D. P., Sotiropoulos, S. N., Sprigg, N., . . . Griffanti, L. (2025). Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI. EUROPEAN RADIOLOGY EXPERIMENTAL, 9(1), 8 pages.
    DOI
    2024 Zamboni, G., Mattioli, I., Arya, Z., Tondelli, M., Vinceti, G., Chiari, A., . . . Grafman, J. (2024). Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia. Brain Imaging and Behavior, 18(5), 1226-1238.
    DOI Europe PMC2
    2024 Wyburd, M. K., Consortium, I., Jenkinson, M., & Namburete, A. (2024). Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 64(S1), 18.
    DOI
    2024 Boyd, C., Brown, G. C., Kleinig, T. J., Mayer, W., Dawson, J., Jenkinson, M., & Bezak, E. (2024). Hyperparameter selection for dataset-constrained semantic segmentation: Practical machine learning optimization. Journal of Applied Clinical Medical Physics, 25(12), 14 pages.
    DOI Scopus1 Europe PMC1
    2024 Boroomandnia, A., Rismanchi, B., Wu, W., & Anderson, R. (2024). Eco-economic comparison of batteries and pumped-hydro systems at the micro scale in buildings. Energy Conversion and Management, 312, 118527.
    DOI Scopus1
    2024 Wyburd, M. K., Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024). Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Medical Image Analysis, 97, 103222.
    DOI Scopus1
    2024 Zeng, M., Smith, L., Bird, A., Trinh, V. Q. -N., Bacchi, S., Harvey, J., . . . Palmer, L. J. (2024). Predictions for functional outcome and mortality in acute ischaemic stroke following successful endovascular thrombectomy.. BMJ Neurol Open, 6(1), e000707.
    DOI Scopus1 Europe PMC1
    2024 Rorden, C., Webster, M., Drake, C., Jenkinson, M., Clayden, J. D., Li, N., & Hanayik, T. (2024). niimath and fslmaths: replication as a method to enhance popular neuroimaging tools.. Aperture neuro, 4.
    DOI Europe PMC1
    2024 Waldman, A. D., Catania, C., Pisa, M., Jenkinson, M., Lenardo, M. J., & DeLuca, G. C. (2024). The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study.. Acta neuropathologica, 147(1), 51.
    DOI Scopus4 Europe PMC5
    2023 Evangelisti, S., Boessenkool, S., Pflanz, C. P., Basting, R., Betts, J. F., Jenkinson, M., . . . Douaud, G. (2023). Subthalamic nucleus shows opposite functional connectivity pattern in Huntington’s and Parkinson’s disease. Brain Communications, 5(6), 15 pages.
    DOI Scopus4 Europe PMC3
    2023 Zamboni, G., Mattioli, I., Arya, Z., Tondelli, M., Vinceti, G., Chiari, A., . . . Grafman, J. (2023). Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia.. Res Sq.
    DOI
    2023 Namburete, A. I. L., Papież, B. W., Fernandes, M., Wyburd, M. K., Hesse, L. S., Moser, F. A., . . . Kennedy, S. H. (2023). Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years.. Nature, 623(7985), 106-114.
    DOI Scopus16 Europe PMC6
    2023 Kenyon, G., Lau, S., Chappell, M. A., & Jenkinson, M. (2023). Segmentation method for cerebral blood vessels from MRA using hysteresis.
    2023 Wartolowska, K., Jenkinson, M., Andersson, J., Wordsworth, P., & Tracey, I. (2023). Imaging the effects of tumour necrosis factor inhibition on pain processing in severe rheumatoid arthritis.
    DOI
    2023 Moore, M. J., Jenkinson, M., Griffanti, L., Huygelier, H., Gillebert, C. R., & Demeyere, N. (2023). A comparison of lesion mapping analyses based on CT versus MR imaging in stroke. Neuropsychologia, 184, 10 pages.
    DOI Scopus7 WoS1 Europe PMC8
    2023 De Zoete, R. M. J., Berryman, C. F., Nijs, J., Walls, A., & Jenkinson, M. (2023). Differential Structural Brain Changes Between Responders and Nonresponders After Physical Exercise Therapy for Chronic Nonspecific Neck Pain. Clinical Journal of Pain, 39(6), 270-277.
    DOI Scopus5 Europe PMC5
    2023 Warrington, S., Ntata, A., Mougin, O., Campbell, J., Torchi, A., Craig, M., . . . Sotiropoulos, S. N. (2023). A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches.
    DOI
    2023 Sundaresan, V., Arthofer, C., Zamboni, G., Murchison, A. G., Dineen, R. A., Rothwell, P. M., . . . Jenkinson, M. (2023). Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. Frontiers in Neuroinformatics, 17, 1204186.
    DOI Scopus4 Europe PMC8
    2023 Gentile, G., Jenkinson, M., Griffanti, L., Luchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2023). BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.. Hum Brain Mapp, 44(14), 4893-4913.
    DOI Scopus7 Europe PMC7
    2023 Huszar, I. N., Pallebage-Gamarallage, M., Bangerter-Christensen, S., Brooks, H., Fitzgibbon, S., Foxley, S., . . . Jenkinson, M. (2023). Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data. NeuroImage, 265, 18 pages.
    DOI Scopus11 WoS1 Europe PMC9
    2023 Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2023). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria. NeuroImage, 268, 13 pages.
    DOI Scopus13 WoS1 Europe PMC15
    2022 Edwards, A. D., Rueckert, D., Smith, S. M., Abo Seada, S., Alansary, A., Almalbis, J., . . . Hajnal, J. V. (2022). The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience, 16, 886772.
    DOI Scopus72 WoS12 Europe PMC73
    2022 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2022). STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation. Medical Image Analysis, 81, 15 pages.
    DOI Scopus12 WoS1 Europe PMC4
    2022 Zeng, M., Oakden-Rayner, L., Bird, A., Smith, L., Wu, Z., Scroop, R., . . . Palmer, L. J. (2022). Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis. Frontiers in Neurology, 13, 14 pages.
    DOI Scopus11 WoS3 Europe PMC5
    2022 Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2022). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.
    DOI
    2022 Dinsdale, N. K., Bluemke, E., Sundaresan, V., Jenkinson, M., Smith, S. M., & Namburete, A. I. L. (2022). Challenges for machine learning in clinical translation of big data imaging studies.. Neuron, 110(23), 3866-3881.
    DOI Scopus25 WoS5 Europe PMC16
    2022 Hesse, L. S., Aliasi, M., Moser, F., Haak, M. C., Xie, W., Jenkinson, M., & Namburete, A. I. L. (2022). Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning. NeuroImage, 254, 19 pages.
    DOI Scopus23 WoS9 Europe PMC16
    2022 Balboni, E., Nocetti, L., Carbone, C., Dinsdale, N., Genovese, M., Guidi, G., . . . Zamboni, G. (2022). The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects. Human Brain Mapping, 43(11), 3427-3438.
    DOI Scopus18 WoS3 Europe PMC9
    2022 Milton, A. G., Lau, S., Kremer, K. L., Rao, S. R., MAS, E., Snel, M. F., . . . Koblar, S. A. (2022). FAST-IT: Find A Simple Test - In TIA (Transient Ischaemic Attack) - a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass-spectrometry, neuroimaging and machine learning - study protocol. BMJ Open, 12(4), 1-9.
    DOI
    2022 Sundaresan, V., Arthofer, C., Zamboni, G., Dineen, R. A., Rothwell, P. M., Sotiropoulos, S. N., . . . Griffanti, L. (2022). Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. Frontiers in Neuroinformatics, 15, 1-18.
    DOI Scopus5 WoS3 Europe PMC4
    2022 Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Jurynczyk, M., Leite, M. I., . . . Palace, J. (2022). Contrasting the brain imaging features of MOG-antibody disease, with AQP4-antibody NMOSD and multiple sclerosis. Multiple Sclerosis Journal, 28(2), 217-227.
    DOI Scopus43 WoS19 Europe PMC25
    2021 Juryńczyk, M., Klimiec-Moskal, E., Kong, Y., Hurley, S., Messina, S., Yeo, T., . . . Palace, J. (2021). Elucidating distinct clinico-radiologic signatures in the borderland between neuromyelitis optica and multiple sclerosis. Journal of Neurology, 269(1), 269-279.
    DOI Scopus6 WoS4 Europe PMC5
    2021 Bordin, V., Bertani, I., Mattioli, I., Sundaresan, V., McCarthy, P., Suri, S., . . . Griffanti, L. (2021). Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets. NeuroImage, 237, 118189.
    DOI Scopus10 WoS6 Europe PMC13
    2021 Sundaresan, V., Zamboni, G., Rothwell, P. M., Jenkinson, M., & Griffanti, L. (2021). Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.. Med Image Anal, 73, 1-17.
    DOI Scopus41 WoS13 Europe PMC22
    2021 Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.. Med Image Anal, 74, 12 pages.
    DOI Scopus15 WoS5 Europe PMC8
    2021 Vass, L., Moore, M. J., Hanayik, T., Mair, G., Pendlebury, S. T., Demeyere, N., & Jenkinson, M. (2021). A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients. Neuroinformatics, 20(3), 12 pages.
    DOI Europe PMC2
    2021 Torso, M., Ridgway, G. R., Jenkinson, M., & Chance, S. (2021). Intracortical diffusion tensor imaging signature of microstructural changes in frontotemporal lobar degeneration. Alzheimer's Research and Therapy, 13(1), 15 pages.
    DOI Scopus10 WoS6 Europe PMC8
    2021 Sundaresan, V., Zamboni, G., Dinsdale, N., Rothwell, P., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.
    DOI
    2021 Melazzini, L., Mackay, C. E., Bordin, V., Suri, S., Zsoldos, E., Filippini, N., . . . Griffanti, L. (2021). White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance. NeuroImage: Clinical, 30, 1-8.
    DOI Scopus16 WoS7 Europe PMC15
    2021 Vrenken, H., Jenkinson, M., Pham, D. L., Guttmann, C. R. G., Pareto, D., Paardekooper, M., . . . Barkhof, F. (2021). Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence. Neurology, 97(21), 989-999.
    DOI Scopus10 WoS6 Europe PMC8
    2021 Torso, M., Bozzali, M., Zamboni, G., Jenkinson, M., & Chance, S. A. (2021). Detection of Alzheimer's Disease using cortical diffusion tensor imaging. Human Brain Mapping, 42(4), 967-977.
    DOI Scopus25 WoS14 Europe PMC20
    2021 Dinsdale, N. K., Bluemke, E., Smith, S. M., Arya, Z., Vidaurre, D., Jenkinson, M., & Namburete, A. I. L. (2021). Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage, 224, 1-16.
    DOI Scopus88 WoS52 Europe PMC54
    2021 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2021). Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage, 228, 1-16.
    DOI Scopus102 WoS54 Europe PMC69
    2021 Raman, B., Cassar, M. P., Tunnicliffe, E. M., Filippini, N., Griffanti, L., Alfaro-Almagro, F., . . . Neubauer, S. (2021). Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge. EClinicalMedicine, 31, 1-13.
    DOI Scopus447 WoS346 Europe PMC378
    2021 Hordacre, B., Lotze, M., Jenkinson, M., Lazari, A., Barras, C. D., Boyd, L., & Hillier, S. (2021). Fronto-parietal involvement in chronic stroke motor performance when corticospinal tract integrity is compromised. NeuroImage: Clinical, 29, 1-11.
    DOI Scopus19 WoS10 Europe PMC17
    2021 Boyd, C., Brown, G., Kleinig, T., Dawson, J., McDonnell, M. D., Jenkinson, M., & Bezak, E. (2021). Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications. Diagnostics, 11(3), 1-23.
    DOI Scopus22 WoS5 Europe PMC8
    2021 Torso, M., Ahmed, S., Butler, C., Zamboni, G., Jenkinson, M., & Chance, S. (2021). Cortical diffusivity investigation in posterior cortical atrophy and typical Alzheimer’s disease. Journal of Neurology, 268(1), 227-239.
    DOI Scopus12 WoS8 Europe PMC10
    2020 Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., . . . Andersson, J. (2020). The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage, 223, 117303.
    DOI Scopus67 WoS40 Europe PMC79
    2020 Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Jurynczyk, M., Leite, M. I., . . . Palace, J. (2020). Contrasting the brain imaging features of MOG-Antibody disease, with AQP4-Antibody NMOSD and Multiple Sclerosis.
    DOI
    2020 Sundaresan, V., Zamboni, G., Rothwell, P., Jenkinson, M., & Griffanti, L. (2020). Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.
    DOI
    2020 Pflanz, C. P., Charquero-Ballester, M., Majid, D. S. A., Winkler, A. M., Vallée, E., Aron, A. R., . . . Douaud, G. (2020). One-year changes in brain microstructure differentiate preclinical Huntington's disease stages. NeuroImage: Clinical, 25, 1-11.
    DOI Scopus7 WoS5 Europe PMC5
    2020 Wang, C., Zhang, Y., Du, J., Huszár, I. N., Liu, S., Chen, Y., . . . Yang, Q. (2020). Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease. Journal of Magnetic Resonance Imaging, 52(2), 534-541.
    DOI Scopus17 WoS11 Europe PMC14
    2020 Eichert, N., Robinson, E. C., Bryant, K. L., Jbabdi, S., Jenkinson, M., Li, L., . . . Mars, R. B. (2020). Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe.. Elife, 9, 1-30.
    DOI Scopus64 WoS42 Europe PMC59
    2020 Keltner, J. R., Tong, A., Visser, E., Jenkinson, M., Connolly, C. G., Dasca, A., . . . Ellis, R. J. (2020). Evidence for a novel subcortical mechanism for posterior cingulate cortex atrophy in HIV peripheral neuropathy. Journal of NeuroVirology, 26(4), 530-543.
    DOI Scopus7 WoS6 Europe PMC6
    2020 Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizabal, C. L., . . . Wright, C. B. (2020). Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. Stroke, 51(7), 2111-2121.
    DOI Scopus76 WoS52 Europe PMC62
    2020 Torso, M., Bozzali, M., Cercignani, M., Jenkinson, M., & Chance, S. A. (2020). Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes. Scientific Reports, 10(1), 11 pages.
    DOI Scopus18 WoS5 Europe PMC15
    2020 Pedersen, M., Verspoor, K., Jenkinson, M., Law, M., Abbott, D. F., & Jackson, G. D. (2020). Artificial intelligence for clinical decision support in neurology.. Brain Commun, 2(2), fcaa096.
    DOI Scopus63 WoS21 Europe PMC27
    2019 Walton, E., Hibar, D., Yilmaz, Z., Jahanshad, N., Cheung, J., Batury, V. -L., . . . Bulik, C. M. (2019). Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa. MOLECULAR NEUROBIOLOGY, 56(7), 5146-5156.
    DOI WoS9 Europe PMC11
    2019 Sundaresan, V., Zamboni, G., Le Heron, C., Rothwell, P. M., Husain, M., Battaglini, M., . . . Griffanti, L. (2019). Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding. NeuroImage, 202, 18 pages.
    DOI Scopus32 WoS24 Europe PMC20
    2019 McKavanagh, R., Torso, M., Jenkinson, M., Kolasinski, J., Stagg, C. J., Esiri, M. M., . . . Chance, S. A. (2019). Relating diffusion tensor imaging measurements to microstructural quantities in the cerebral cortex in multiple sclerosis. Human Brain Mapping, 40(15), 4417-4431.
    DOI Scopus19 WoS15 Europe PMC20
    2019 Sundaresan, V., Griffanti, L., Kindalova, P., Alfaro-Almagro, F., Zamboni, G., Rothwell, P. M., . . . Jenkinson, M. (2019). Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference. NeuroImage, 185, 434-445.
    DOI Scopus10 WoS8 Europe PMC8
    2019 Nobis, L., Manohar, S. G., Smith, S. M., Alfaro-Almagro, F., Jenkinson, M., Mackay, C. E., & Husain, M. (2019). Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank. NeuroImage: Clinical, 23, 101904.
    DOI Scopus137 WoS86 Europe PMC97
    2019 Mollink, J., Hiemstra, M., Miller, K. L., Huszar, I. N., Jenkinson, M., Raaphorst, J., . . . van Cappellen van Walsum, A. M. (2019). White matter changes in the perforant path area in patients with amyotrophic lateral sclerosis. Neuropathology and Applied Neurobiology, 45(6), 570-585.
    DOI Scopus22 WoS15 Europe PMC19
    2019 Saillant, A., Armstrong, I., Shah, V., Zuehlsdorff, S., Hayden, C., Declerck, J., . . . Chappell, M. A. (2019). Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework. IEEE Transactions on Medical Imaging, 38(5), 1216-1226.
    DOI Scopus3 WoS3
    2019 Baxter, L., Fitzgibbon, S., Moultrie, F., Goksan, S., Jenkinson, M., Smith, S., . . . Slater, R. (2019). Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants. NeuroImage, 186, 286-300.
    DOI Scopus15 WoS16 Europe PMC15
    2019 Chye, Y., Lorenzetti, V., Suo, C., Batalla, A., Cousijn, J., Goudriaan, A. E., . . . Solowij, N. (2019). Alteration to hippocampal volume and shape confined to cannabis dependence: a multi-site study. Addiction Biology, 24(4), 822-834.
    DOI Scopus33 WoS24 Europe PMC23
    2018 Schmid, A. B., Campbell, J., Hurley, S. A., Jbabdi, S., Andersson, J. L., Jenkinson, M., . . . Clare, S. (2018). Feasibility of diffusion tensor and morphologic imaging of peripheral nerves at ultra-high field strength. Investigative Radiology, 53(12), 705-713.
    DOI Scopus13 WoS7 Europe PMC8
    2018 Sundaresan, V., Zamboni, G., Le Heron, C., Rothwell, P., Husain, M., Battaglini, M., . . . Griffanti, L. (2018). Automated lesion segmentation with BIANCA: impact of population-level features, classification algorithm and locally adaptive thresholding.
    DOI
    2018 Sundaresan, V., Griffanti, L., Kindalova, P., Alfaro-Almagro, F., Zamboni, G., Rothwell, P., . . . Jenkinson, M. (2018). Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
    DOI
    2018 Harston, G. W. J., Carone, D., Sheerin, F., Jenkinson, M., & Kennedy, J. (2018). Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures. Stroke, 49(7), 1647-1655.
    DOI Scopus18 WoS13 Europe PMC16
    2018 Bozek, J., Makropoulos, A., Schuh, A., Fitzgibbon, S., Wright, R., Glasser, M. F., . . . Robinson, E. C. (2018). Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage, 179, 11-29.
    DOI Scopus62 WoS42 Europe PMC59
    2018 Zsoldos, E., Filippini, N., Mahmood, A., Mackay, C. E., Singh-Manoux, A., Kivimäki, M., . . . Ebmeier, K. P. (2018). Allostatic load as a predictor of grey matter volume and white matter integrity in old age: the Whitehall II MRI study. Scientific Reports, 8(1), 6411.
    DOI Scopus31 WoS21 Europe PMC29
    2018 Connally, E. L., Ward, D., Pliatsikas, C., Finnegan, S., Jenkinson, M., Boyles, R., & Watkins, K. E. (2018). Separation of trait and state in stuttering. Human Brain Mapping, 39(8), 3109-3126.
    DOI Scopus22 WoS15 Europe PMC16
    2018 Williamson, W., Lewandowski, A. J., Forkert, N. D., Griffanti, L., Okell, T. W., Betts, J., . . . Leeson, P. (2018). Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults. JAMA - Journal of the American Medical Association, 320(7), 665-673.
    DOI Scopus112 WoS89 Europe PMC97
    2018 Pallebage-Gamarallage, M., Foxley, S., Menke, R. A. L., Huszar, I. N., Jenkinson, M., Tendler, B. C., . . . Ansorge, O. (2018). Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology. BMC Neuroscience, 19(1), 11.
    DOI Scopus42 WoS33 Europe PMC38
    2018 Makropoulos, A., Robinson, E. C., Schuh, A., Wright, R., Fitzgibbon, S., Bozek, J., . . . Rueckert, D. (2018). The developing human connectome project: a minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage, 173, 88-112.
    DOI Scopus321 WoS146 Europe PMC270
    2018 Battaglini, M., Jenkinson, M., & De Stefano, N. (2018). SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI. Human Brain Mapping, 39(3), 1063-1077.
    DOI Scopus24 WoS19 Europe PMC18
    2018 Robinson, E. C., Garcia, K., Glasser, M. F., Chen, Z., Coalson, T. S., Makropoulos, A., . . . Rueckert, D. (2018). Multimodal surface matching with higher-order smoothness constraints. NeuroImage, 167, 453-465.
    DOI Scopus175 WoS127 Europe PMC186
    2018 Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L. R., Griffanti, L., Douaud, G., . . . Smith, S. M. (2018). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. NeuroImage, 166, 400-424.
    DOI Scopus915 WoS547 Europe PMC852
    2018 Griffanti, L., Jenkinson, M., Suri, S., Zsoldos, E., Mahmood, A., Filippini, N., . . . Zamboni, G. (2018). Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults. NeuroImage, 170, 174-181.
    DOI Scopus203 WoS149 Europe PMC175
    2017 Rocca, M. A., Battaglini, M., Benedict, R. H. B., De Stefano, N., Geurts, J. J. G., Henry, R. G., . . . Filippi, M. (2017). Brain MRI atrophy quantification in MS. Neurology, 88(4), 403-413.
    DOI Scopus207 WoS152 Europe PMC139
    2017 Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., . . . Jenkinson, M. (2017). Novel genetic loci associated with hippocampal volume. Nature Communications, 8(1), 13624.
    DOI Scopus222 WoS174 Europe PMC200
    2017 Mollink, J., Kleinnijenhuis, M., Cappellen van Walsum, A. M. V., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., . . . Miller, K. L. (2017). Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. NeuroImage, 157, 561-574.
    DOI Scopus127 WoS100 Europe PMC104
    2017 Eippert, F., Kong, Y., Jenkinson, M., Tracey, I., & Brooks, J. C. W. (2017). Denoising spinal cord fMRI data: approaches to acquisition and analysis. NeuroImage, 154, 255-266.
    DOI Scopus46 WoS35 Europe PMC42
    2017 Fabes, J., Matthews, L., Filippini, N., Talbot, K., Jenkinson, M., & Turner, M. R. (2017). Quantitative FLAIR MRI in amyotrophic lateral sclerosis. Academic Radiology, 24(10), 1187-1194.
    DOI Scopus37 WoS23 Europe PMC22
    2017 Keltner, J. R., Connolly, C. G., Vaida, F., Jenkinson, M., Fennema-Notestine, C., Archibald, S., . . . Ellis, R. J. (2017). HIV distal neuropathic pain is associated with smaller ventral posterior cingulate cortex. Pain Medicine (United States), 18(3), 428-440.
    DOI Scopus19 WoS17 Europe PMC17
    2017 Zamboni, G., Griffanti, L., Jenkinson, M., Mazzucco, S., Li, L., Küker, W., . . . Rothwell, P. M. (2017). White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment after Transient Ischemic Attack and Minor Stroke. Stroke, 48(6), 1539-1547.
    DOI Scopus40 WoS34 Europe PMC35
    2017 Graham, M. S., Drobnjak, I., Jenkinson, M., & Zhang, H. (2017). Quantitative assessment of the susceptibility artefact and its interaction with motion in diffusion MRI. PLoS ONE, 12(10), e0185647.
    DOI Scopus65 WoS49 Europe PMC59
    2017 Wartolowska, K., Bulte, D., Chappell, M., Jenkinson, M., Okell, T., Webster, M., & Carr, A. (2017). Using arterial spin labelling to investigate spontaneous and evoked ongoing musculoskeletal pain. BioRxiv, 11 pages.
    DOI
    2017 Alfaro-Almagro, F., Jenkinson, M., Bangerter, N., Andersson, J., Griffanti, L., Douaud, G., . . . Smith, S. (2017). Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank.
    DOI Europe PMC3
    2017 Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., . . . Poldrack, R. A. (2017). BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Computational Biology, 13(3), e1005209.
    DOI Scopus188 WoS137 Europe PMC174
    2017 Goksan, S., Hartley, C., Hurley, S. A., Winkler, A. M., Duff, E. P., Jenkinson, M., . . . Slater, R. (2017). Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation. Magnetic Resonance in Medicine, 78(2), 625-631.
    DOI Scopus18 WoS12 Europe PMC16
    2017 Harston, G. W. J., Minks, D., Sheerin, F., Payne, S. J., Chappell, M., Jezzard, P., . . . Kennedy, J. (2017). Optimizing image registration and infarct definition in stroke research. ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 4(3), 166-174.
    DOI WoS15 Europe PMC12
    2016 Adams, H. H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Rentería, M. E., . . . Satizabal, C. L. (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nature Neuroscience, 19(12), 1569-1582.
    DOI Scopus173 Europe PMC167
    2016 Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., . . . Smith, S. M. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19(11), 1523-1536.
    DOI Scopus1227 WoS810 Europe PMC1160
    2016 Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., . . . Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature Neuroscience, 19(9), 1175-1187.
    DOI Scopus696 WoS516 Europe PMC613
    2016 Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., . . . Van Essen, D. C. (2016). A multi-modal parcellation of human cerebral cortex. Nature, 536(7615), 171-178.
    DOI Scopus3120 WoS2203 Europe PMC2771
    2016 Griffanti, L., Zamboni, G., Khan, A., Li, L., Bonifacio, G., Sundaresan, V., . . . Jenkinson, M. (2016). BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. NeuroImage, 141, 191-205.
    DOI Scopus302 WoS210 Europe PMC256
    2016 Franke, B., van Hulzen, K. J. E., Arias-Vasquez, A., Bralten, J., Hoogman, M., Klein, M., . . . Jenkinson, M. (2016). Genetic influences on schizophrenia and subcortical brain volumes: Large-scale proof of concept. Nature Neuroscience, 19(3), 420-431.
    DOI Scopus170 Europe PMC144
    2016 Visser, E., Keuken, M. C., Forstmann, B. U., & Jenkinson, M. (2016). Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7 T data at young and old age. NeuroImage, 139, 324-336.
    DOI Scopus55 WoS43 Europe PMC43
    2016 Griffanti, L., Wilcock, G. K., Voets, N., Bonifacio, G., MacKay, C. E., Jenkinson, M., & Zamboni, G. (2016). Donepezil Enhances Frontal Functional Connectivity in Alzheimer's Disease: A Pilot Study. Dementia and Geriatric Cognitive Disorders Extra, 6(3), 518-528.
    DOI Scopus25 WoS16 Europe PMC19
    2016 Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., . . . Johansen-Berg, H. (2016). Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise. NeuroImage, 131, 162-170.
    DOI Scopus116 WoS88 Europe PMC93
    2016 Visser, E., Keuken, M. C., Douaud, G., Gaura, V., Bachoud-Levi, A. C., Remy, P., . . . Jenkinson, M. (2016). Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool. NeuroImage, 125, 479-497.
    DOI Scopus53 WoS45 Europe PMC49
    2016 Griffanti, L., Rolinski, M., Szewczyk-Krolikowski, K., Menke, R. A., Filippini, N., Zamboni, G., . . . Mackay, C. E. (2016). Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease. NeuroImage, 124(Pt A), 704-713.
    DOI Scopus65 WoS56 Europe PMC48
    2016 Faull, O. K., Jenkinson, M., Ezra, M., & Pattinson, K. T. S. (2016). Conditioned respiratory threat in the subdivisions of the human periaqueductal gray. eLife, 5, 19 pages.
    DOI Scopus65 WoS50 Europe PMC45
    2016 Maumet, C., Auer, T., Bowring, A., Chen, G., Das, S., Flandin, G., . . . Nichols, T. E. (2016). Sharing brain mapping statistical results with the neuroimaging data model. Scientific Data, 3(1), 1-15.
    DOI Scopus39 WoS28 Europe PMC30
    2015 Faull, O. K., Jenkinson, M., Clare, S., & Pattinson, K. T. S. (2015). Functional subdivision of the human periaqueductal grey in respiratory control using 7tesla fMRI. NeuroImage, 113, 356-364.
    DOI Scopus60 WoS52 Europe PMC47
    2015 Goksan, S., Hartley, C., Emery, F., Cockrill, N., Poorun, R., Moultrie, F., . . . Slater, R. (2015). fMRI reveals neural activity overlap between adult and infant pain. eLife, 4(4), 1-13.
    DOI Scopus81 WoS92 Europe PMC91
    2015 Hibar, D. P., Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., Jahanshad, N., . . . Czisch, M. (2015). Common genetic variants influence human subcortical brain structures. Nature, 520(7546), 224-229.
    DOI Scopus643 WoS549 Europe PMC560
    2015 Harrison, S. J., Woolrich, M. W., Robinson, E. C., Glasser, M. F., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2015). Large-scale probabilistic functional modes from resting state fMRI. NeuroImage, 109, 217-231.
    DOI Scopus71 WoS65 Europe PMC68
    2015 Poynton, C. B., Jenkinson, M., Adalsteinsson, E., Sullivan, E. V., Pfefferbaum, A., & Wells, W. (2015). Quantitative susceptibility mapping by inversion of a perturbation field model: Correlation with brain iron in normal aging. IEEE Transactions on Medical Imaging, 34(1), 339-353.
    DOI Scopus26 WoS21 Europe PMC21
    2015 Matthews, L., Kolind, S., Brazier, A., Leite, M. I., Brooks, J., Traboulsee, A., . . . Palace, J. (2015). Imaging surrogates of disease activity in neuromyelitis optica allow distinction from multiple sclerosis. PLoS ONE, 10(9), e0137715.
    DOI Scopus46 WoS39 Europe PMC31
    2014 Dargan, D., Jenkinson, M. J., & Acton, J. D. (2014). A retrospective review of the Dall-Miles plate for periprosthetic femoral fractures: Twenty-seven cases and a review of the literature. INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 45(12), 1958-1963.
    DOI WoS13 Europe PMC18
    2014 Levy, A. A. L., Jenkinson, M., Ingram, W., & Allen, M. (2014). Correcting precipitation feature location in general circulation models. Journal of Geophysical Research, 119(23), 13-369.
    DOI Scopus4 WoS4
    2014 Abdollahi, R. O., Kolster, H., Glasser, M. F., Robinson, E. C., Coalson, T. S., Dierker, D., . . . Orban, G. A. (2014). Correspondences between retinotopic areas and myelin maps in human visual cortex. NeuroImage, 99(100), 509-524.
    DOI Scopus98 WoS85 Europe PMC83
    2014 Sampaio-Baptista, C., Scholz, J., Jenkinson, M., Thomas, A. G., Filippini, N., Smit, G., . . . Johansen-Berg, H. (2014). Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention. NeuroImage, 96, 158-166.
    DOI Scopus72 WoS56 Europe PMC63
    2014 Tziortzi, A. C., Haber, S. N., Searle, G. E., Tsoumpas, C., Long, C. J., Shotbolt, P., . . . Gunn, R. N. (2014). Connectivity-based functional analysis of dopamine release in the striatum using diffusion-weighted MRI and positron emission tomography. Cerebral Cortex, 24(5), 1165-1177.
    DOI Scopus256 WoS232 Europe PMC210
    2014 Menke, R. A. L., Szewczyk-Krolikowski, K., Jbabdi, S., Jenkinson, M., Talbot, K., Mackay, C. E., & Hu, M. (2014). Comprehensive morphometry of subcortical grey matter structures in early-stage Parkinson's disease. Human Brain Mapping, 35(4), 1681-1690.
    DOI Scopus85 WoS70 Europe PMC66
    2014 Tijssen, R. H. N., Jenkinson, M., Brooks, J. C. W., Jezzard, P., & Miller, K. L. (2014). Optimizing RetroICor and RetroKCor corrections for multi-shot 3D FMRI acquisitions. NeuroImage, 84, 394-405.
    DOI Scopus12 WoS10 Europe PMC13
    2014 Levy, A. A. L., Jenkinson, M., Ingram, W., Lambert, F. H., Huntingford, C., & Allen, M. (2014). Increasing the detectability of external influence on precipitation by correcting feature location in GCMs. Journal of Geophysical Research Atmospheres, 119(22), 12-478.
    DOI Scopus5 WoS5
    2014 Mennes, M., Jenkinson, M., Valabregue, R., Buitelaar, J. K., Beckmann, C., & Smith, S. (2014). Optimizing full-brain coverage in human brain MRI through population distributions of brain size. NeuroImage, 98, 513-520.
    DOI Scopus34 WoS25 Europe PMC28
    2014 Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., . . . Jenkinson, M. (2014). MSM: A new flexible framework for multimodal surface matching. NeuroImage, 100, 414-426.
    DOI Scopus402 WoS323 Europe PMC412
    2014 Millington, R. S., Yasuda, C. L., Jindahra, P., Jenkinson, M., Barbur, J. L., Kennard, C., . . . Bridge, H. (2014). Quantifying the pattern of optic tract degeneration in human hemianopia. Journal of Neurology, Neurosurgery and Psychiatry, 85(4), 379-386.
    DOI Scopus32 WoS24 Europe PMC27
    2014 Filippini, N., Zsoldos, E., Haapakoski, R., Sexton, C. E., Mahmood, A., Allan, C. L., . . . Ebmeier, K. P. (2014). Study protocol: The Whitehall II imaging sub-study. BMC Psychiatry, 14(1), 16 pages.
    DOI Scopus66 WoS59 Europe PMC65
    2014 Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., . . . Jenkinson, M. (2014). The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior, 8(2), 153-182.
    DOI Scopus599 WoS474 Europe PMC474
    2013 Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., . . . Behrens, T. E. J. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80, 125-143.
    DOI Scopus701 WoS585 Europe PMC598
    2013 Matthews, L., Marasco, R., Jenkinson, M., Küker, W., Luppe, S., Leite, M. I., . . . Palace, J. (2013). Distinction of seropositive NMO spectrum disorder and MS brain lesion distribution. Neurology, 80(14), 1330-1337.
    DOI Scopus187 WoS147 Europe PMC129
    2013 Levy, A. A. L., Ingram, W., Jenkinson, M., Huntingford, C., Lambert, F. H., & Allen, M. (2013). Can correcting feature location in simulated mean climate improve agreement on projected changes?. Geophysical Research Letters, 40(2), 354-358.
    DOI Scopus22 WoS22
    2013 Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., . . . Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, 105-124.
    DOI Scopus3482 WoS2541 Europe PMC3205
    2013 Stagg, C. J., Knight, S., Jenkinson, M., Maudsley, A. A., & Turner, M. R. (2013). Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS. Neurology, 80(7), 610-615.
    DOI Scopus49 WoS42 Europe PMC40
    2013 Arun, T., Tomassini, V., Sbardella, E., De Ruiter, M. B., Matthews, L., Leite, M. I., . . . Palace, J. (2013). Targeting ASIC1 in primary progressive multiple sclerosis: Evidence of neuroprotection with amiloride. Brain, 136(1), 106-115.
    DOI Scopus119 WoS102 Europe PMC91
    2013 Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., . . . Van Essen, D. C. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, 17(12), 666-682.
    DOI Scopus735 WoS581 Europe PMC599
    2013 Brooks, J. C. W., Faull, O. K., Pattinson, K. T. S., & Jenkinson, M. (2013). Physiological noise in brainstem fMRI. Frontiers in Human Neuroscience, 7(OCT), 13 pages.
    DOI Scopus171 WoS148 Europe PMC145
    2013 Vrenken, H., Jenkinson, M., Horsfield, M. A., Battaglini, M., Van Schijndel, R. A., Rostrup, E., . . . De Stefano, N. (2013). Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis. Journal of Neurology, 260(10), 2458-2471.
    DOI Scopus98 WoS89 Europe PMC74
    2013 Zamboni, G., Wilcock, G. K., Douaud, G., Drazich, E., McCulloch, E., Filippini, N., . . . MacKay, C. E. (2013). Resting functional connectivity reveals residual functional activity in Alzheimer's disease. Biological Psychiatry, 74(5), 375-383.
    DOI Scopus61 WoS51 Europe PMC44
    2013 Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., . . . Van Essen, D. C. (2013). Human Connectome Project informatics: Quality control, database services, and data visualization. NeuroImage, 80, 202-219.
    DOI Scopus319 WoS241 Europe PMC293
    2013 Heinrich, M. P., Jenkinson, M., Brady, M., & Schnabel, J. A. (2013). MRF-Based deformable registration and ventilation estimation of lung CT. IEEE Transactions on Medical Imaging, 32(7), 1239-1248.
    DOI Scopus241 WoS148 Europe PMC85
    2013 Zamboni, G., Drazich, E., McCulloch, E., Filippini, N., Mackay, C. E., Jenkinson, M., . . . Wilcock, G. K. (2013). Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment. Cortex, 49(3), 668-678.
    DOI Scopus84 WoS72 Europe PMC60
    2013 Zamboni, G., de Jager, C. A., Drazich, E., Douaud, G., Jenkinson, M., Smith, A. D., . . . Wilcock, G. K. (2013). Structural and functional bases of visuospatial associative memory in older adults. Neurobiology of Aging, 34(3), 961-972.
    DOI Scopus17 WoS15 Europe PMC13
    2013 Robinson, E. C., Jbabdi, S., Andersson, J., Smith, S., Glasser, M. F., Van Essen, D. C., . . . Jenkinson, M. (2013). Multimodal surface matching: Fast and generalisable cortical registration using discrete optimisation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7917 LNCS, 475-486.
    DOI Scopus32 Europe PMC30
    2012 Kolasinski, J., Stagg, C. J., Chance, S. A., Deluca, G. C., Esiri, M. M., Chang, E. H., . . . Johansen-Berg, H. (2012). A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology. Brain, 135(10), 2938-2951.
    DOI Scopus126 WoS115 Europe PMC100
    2012 Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782-790.
    DOI Scopus8384 WoS6558 Europe PMC7086
    2012 Kong, Y., Jenkinson, M., Andersson, J., Tracey, I., & Brooks, J. C. W. (2012). Assessment of physiological noise modelling methods for functional imaging of the spinal cord. NeuroImage, 60(2), 1538-1549.
    DOI Scopus71 WoS62 Europe PMC62
    2012 Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., . . . Ugurbil, K. (2012). Temporally-independent functional modes of spontaneous brain activity. Proceedings of the National Academy of Sciences of the United States America, 109(8), 3131-3136.
    DOI Scopus603 WoS556 Europe PMC508
    2012 Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, S. M., & Schnabel, J. A. (2012). MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Analysis, 16(7), 1423-1435.
    DOI Scopus576 WoS400 Europe PMC217
    2012 Battaglini, M., Jenkinson, M., & De Stefano, N. (2012). Evaluating and reducing the impact of white matter lesions on brain volume measurements. Human Brain Mapping, 33(9), 2062-2071.
    DOI Scopus276 WoS243 Europe PMC220
    2012 Sexton, C. E., Le Masurier, M., Allan, C. L., Jenkinson, M., McDermott, L., Kalu, U. G., . . . Ebmeier, K. P. (2012). Magnetic resonance imaging in late-life depression: Vascular and glucocorticoid cascade hypotheses. British Journal of Psychiatry, 201(1), 46-51.
    DOI Scopus45 WoS30 Europe PMC27
    2012 Popescu, V., Battaglini, M., Hoogstrate, W. S., Verfaillie, S. C. J., Sluimer, I. C., van Schijndel, R. A., . . . Yousry, T. (2012). Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis. NeuroImage, 61(4), 1484-1494.
    DOI Scopus145 WoS121 Europe PMC104
    2012 Stein, J. L., Medland, S. E., Vasquez, A. A., Hibar, D. P., Senstad, R. E., Winkler, A. M., . . . Mühleisen, T. W. (2012). Identification of common variants associated with human hippocampal and intracranial volumes. Nature Genetics, 44(5), 552-561.
    DOI Scopus527 WoS477 Europe PMC462
    2012 Brooks, J. C. W., Kong, Y., Lee, M. C., Warnaby, C. E., Wanigasekera, V., Jenkinson, M., & Tracey, I. (2012). Stimulus site and modality dependence of functional activity within the human spinal cord. Journal of Neuroscience, 32(18), 6231-6239.
    DOI Scopus40 WoS35 Europe PMC38
    2012 Tondelli, M., Wilcock, G. K., Nichelli, P., de Jager, C. A., Jenkinson, M., & Zamboni, G. (2012). Structural MRI changes detectable up to ten years before clinical Alzheimer's disease. Neurobiology of Aging, 33(4), 825.e25-825.e36.
    DOI Scopus199 WoS173 Europe PMC145
    2012 Wartolowska, K., Hough, M. G., Jenkinson, M., Andersson, J., Wordsworth, B. P., & Tracey, I. (2012). Structural changes of the brain in rheumatoid arthritis. Arthritis and Rheumatism, 64(2), 371-379.
    DOI Scopus87 WoS77 Europe PMC67
    2012 Kincses, Z. T., Szabó, N., Valálik, I., Kopniczky, Z., Dézsi, L., Klivényi, P., . . . Vécsei, L. (2012). Target identification for stereotactic thalamotomy using diffusion tractography. PLoS ONE, 7(1), 7 pages.
    DOI Scopus31 WoS29 Europe PMC23
    2012 Gelineau-Morel, R., Tomassini, V., Jenkinson, M., Johansen-Berg, H., Matthews, P. M., & Palace, J. (2012). The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis. Human Brain Mapping, 33(12), 2802-2814.
    DOI Scopus113 WoS100 Europe PMC94
    2011 Sallet, J., Mars, R. B., Noonan, M. P., Andersson, J. L., O'Reilly, J. X., Jbabdi, S., . . . Rushworth, M. F. S. (2011). Social network size affects neural circuits in Macaques. Science, 334(6056), 697-700.
    DOI Scopus362 WoS316 Europe PMC267
    2011 Murphy, K., Van Ginneken, B., Reinhardt, J. M., Kabus, S., Ding, K., Deng, X., . . . Pluim, J. P. W. (2011). Evaluation of registration methods on thoracic CT: The EMPIRE10 challenge. IEEE Transactions on Medical Imaging, 30(11), 1901-1920.
    DOI Scopus373 WoS313 Europe PMC231
    2011 Kincses, Z. T., Ropele, S., Jenkinson, M., Khalil, M., Petrovic, K., Loitfelder, M., . . . Enzinger, C. (2011). Lesion probability mapping to explain clinical deficits and cognitive performance in multiple sclerosis. Multiple Sclerosis Journal, 17(6), 681-689.
    DOI Scopus79 WoS69 Europe PMC56
    2011 Tziortzi, A. C., Searle, G. E., Tzimopoulou, S., Salinas, C., Beaver, J. D., Jenkinson, M., . . . Gunn, R. N. (2011). Imaging dopamine receptors in humans with [<sup>11</sup>C]-(+)-PHNO: Dissection of D3 signal and anatomy. NeuroImage, 54(1), 264-277.
    DOI Scopus354 WoS301 Europe PMC299
    2011 Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. NeuroImage, 56(3), 907-922.
    DOI Scopus1875 WoS1628 Europe PMC1510
    2011 Miller, K. L., Stagg, C. J., Douaud, G., Jbabdi, S., Smith, S. M., Behrens, T. E. J., . . . McNab, J. A. (2011). Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner. NeuroImage, 57(1), 167-181.
    DOI Scopus220 WoS191 Europe PMC186
    2011 Nunes, R. G., Drobnjak, I., Clare, S., Jezzard, P., & Jenkinson, M. (2011). Performance of single spin-echo and doubly refocused diffusion-weighted sequences in the presence of eddy current fields with multiple components. Magnetic Resonance Imaging, 29(5), 659-667.
    DOI Scopus7 WoS5 Europe PMC5
    2011 Bishop, C. A., Jenkinson, M., Andersson, J., Declerck, J., & Merhof, D. (2011). Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data. NeuroImage, 55(3), 1009-1019.
    DOI Scopus23 WoS20 Europe PMC14
    2011 Marcus, D. S., Harwell, J., Olsen, T., Hodge, M., Glasser, M. F., Prior, F., . . . Van Essen, D. C. (2011). Informatics and data mining tools and strategies for the human connectome project. Frontiers in Neuroinformatics, 5.
    DOI Scopus431
    2010 Zarei, M., Patenaude, B., Damoiseaux, J., Morgese, C., Smith, S., Matthews, P. M., . . . Jenkinson, M. (2010). Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease. NeuroImage, 49(1), 1-8.
    DOI Scopus146 WoS133 Europe PMC107
    2010 Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2010). Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447] (DOI:10.1016/j.neuroimage.2009.05.029). NeuroImage, 49(1), 1152.
    DOI Scopus1 WoS2
    2010 Gallichan, D., Andersson, J. L. R., Jenkinson, M., Robson, M. D., & Miller, K. L. (2010). Reducing distortions in diffusion-weighted echo planar imaging with a dual-echo blip-reversed sequence. Magnetic Resonance in Medicine, 64(2), 382-390.
    DOI Scopus47 WoS44 Europe PMC37
    2010 Drobnjak, I., Pell, G. S., & Jenkinson, M. (2010). Simulating the effects of time-varying magnetic fields with a realistic simulated scanner. Magnetic Resonance Imaging, 28(7), 1014-1021.
    DOI Scopus31 WoS26 Europe PMC21
    2010 Zarei, M., Patenaude, B., Damoiseaux, J., Morgese, C., Smith, S., Matthews, P. M., . . . Jenkinson, M. (2010). Erratum to Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease [NeuroImage, 49, (2010), 1-8]. NeuroImage, 51(2), 940.
    DOI Scopus1 WoS1
    2009 Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., . . . Smith, S. M. (2009). Bayesian analysis of neuroimaging data in FSL.. NeuroImage, 45(1 Suppl), S173-S186.
    DOI Scopus1976 WoS1383 Europe PMC1641
    2009 Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2009). An evaluation of four automatic methods of segmenting the subcortical structures in the brain. NeuroImage, 47(4), 1435-1447.
    DOI Scopus179 WoS151 Europe PMC91
    2009 Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M. C., . . . Parsey, R. V. (2009). Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. NeuroImage, 46(3), 786-802.
    DOI Scopus1830 WoS1583 Europe PMC1344
    2009 Sun, D., Stuart, G. W., Jenkinson, M., Wood, S. J., McGorry, P. D., Velakoulis, D., . . . Pantelis, C. (2009). Brain surface contraction mapped in first-episode schizophrenia: A longitudinal magnetic resonance imaging study. Molecular Psychiatry, 14(10), 976-986.
    DOI Scopus114 WoS99 Europe PMC85
    2008 Brooks, J. C. W., Beckmann, C. F., Miller, K. L., Wise, R. G., Porro, C. A., Tracey, I., & Jenkinson, M. (2008). Physiological noise modelling for spinal functional magnetic resonance imaging studies. NeuroImage, 39(2), 680-692.
    DOI Scopus180 WoS156 Europe PMC158
    2008 Harvey, A. K., Pattinson, K. T. S., Brooks, J. C. W., Mayhew, S. D., Jenkinson, M., & Wise, R. G. (2008). Brainstem functional magnetic resonance imaging: Disentangling signal from physiological noise. Journal of Magnetic Resonance Imaging, 28(6), 1337-1344.
    DOI Scopus139 WoS128 Europe PMC132
    2007 Smith, S. M., Johansen-Berg, H., Jenkinson, M., Nichols, T. E., Miller, K. L., Klein, J. C., . . . Behrens, T. E. J. (2007). Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nature Protocols, 2(3), 499-503.
    DOI Scopus516 WoS474 Europe PMC433
    2007 Bartsch, A. J., Homola, G., Biller, A., Smith, S. M., Weijers, H. G., Wiesbeck, G. A., . . . Bendszus, M. (2007). Manifestations of early brain recovery associated with abstinence from alcoholism. Brain, 130(1), 36-47.
    DOI Scopus177 WoS145 Europe PMC123
    2007 Smith, S., Jenkinson, M., Beckmann, C., Miller, K., & Woolrich, M. (2007). Meaningful design and contrast estimability in FMRI. NeuroImage, 34(1), 127-136.
    DOI Scopus53 WoS47 Europe PMC45
    2007 Smith, S. M., Rao, A., De Stefano, N., Jenkinson, M., Schott, J. M., Matthews, P. M., & Fox, N. C. (2007). Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX. NeuroImage, 36(4), 1200-1206.
    DOI Scopus99 WoS91 Europe PMC77
    2007 Douaud, G., Smith, S., Jenkinson, M., Behrens, T., Johansen-Berg, H., Vickers, J., . . . James, A. (2007). Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain, 130(9), 2375-2386.
    DOI Scopus667 WoS610 Europe PMC594
    2007 Smith, S. M., Johansen-Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., . . . Behrens, T. E. J. (2007). Erratum: Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (Nature Protocols (2007) (499-503) 10.1038/nprot.2007.45). Nature Protocols, 2(3).
    2007 Zarei, M., Johansen-Berg, H., Jenkinson, M., Ciccarelli, O., Thompson, A. J., & Matthews, P. M. (2007). Two-dimensional population map of cortical connections in the human internal capsule. Journal of Magnetic Resonance Imaging, 25(1), 48-54.
    DOI Scopus55 WoS51 Europe PMC44
    2007 Bannister, P. R., Michael Brady, J., & Jenkinson, M. (2007). Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images. Image and Vision Computing, 25(3), 311-320.
    DOI Scopus19 WoS14
    2006 Drobnjak, I., Gavaghan, D., Süli, E., Pitt-Francis, J., & Jenkinson, M. (2006). Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts. Magnetic Resonance in Medicine, 56(2), 364-380.
    DOI Scopus81 WoS74 Europe PMC56
    2006 Beckmann, C. F., Jenkinson, M., Woolrich, M. W., Behrens, T. E. J., Flitney, D. E., Devlin, J. T., & Smith, S. M. (2006). Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming. Human Brain Mapping, 27(5), 380-391.
    DOI Scopus56 WoS53 Europe PMC46
    2006 Behrens, T. E. J., Jenkinson, M., Robson, M. D., Smith, S. M., & Johansen-Berg, H. (2006). A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex. NeuroImage, 30(1), 220-227.
    DOI Scopus50 WoS47 Europe PMC38
    2006 Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., . . . Behrens, T. E. J. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487-1505.
    DOI Scopus5539 WoS4916 Europe PMC4618
    2005 Smith, S. M., Beckmann, C. F., Ramnani, N., Woolrich, M. W., Bannister, P. R., Jenkinson, M., . . . McGonigle, D. J. (2005). Variability in fMRI: A re-examination of inter-session differences. Human Brain Mapping, 24(3), 248-257.
    DOI Scopus156 WoS142 Europe PMC122
    2005 Österbauer, R. A., Matthews, P. M., Jenkinson, M., Beckmann, C. F., Hansen, P. C., & Calvert, G. A. (2005). Color of scents: Chromatic stimuli modulate odor responses in the human brain. Journal of Neurophysiology, 93(6), 3434-3441.
    DOI Scopus139 WoS112 Europe PMC65
    2005 Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A. J., & Matthews, P. M. (2005). Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex. Journal of Vision, 5(2), 93-102.
    DOI Scopus84 WoS78 Europe PMC69
    2004 Woolrich, M. W., Jenkinson, M., Brady, J. M., & Smith, S. M. (2004). Fully Bayesian Spatio-Temporal Modeling of FMRI Data. IEEE Transactions on Medical Imaging, 23(2), 213-231.
    DOI Scopus204 WoS190 Europe PMC117
    2004 Bannister, P. R., Michael Brady, J., & Jenkinson, M. (2004). TIGER - A new model for spatio-temporal realignment of FMRI data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3117, 292-303.
    DOI Scopus5 WoS5
    2004 Freire, L., Orchard, J., Jenkinson, M., & Mangin, J. F. (2004). Reducing Activation-Related Bias in FMRI Registration. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3150, 278-285.
    DOI Scopus3 WoS2
    2004 Jenkinson, M., Wilson, J. L., & Jezzard, P. (2004). Perturbation method for magnetic field calculations of nonconductive objects. Magnetic Resonance in Medicine, 52(3), 471-477.
    DOI Scopus59 WoS47 Europe PMC42
    2004 Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004). Multilevel linear modelling for FMRI group analysis using Bayesian inference. NeuroImage, 21(4), 1732-1747.
    DOI Scopus1350 WoS1207 Europe PMC1200
    2003 Wilson, J. L., Jenkinson, M., & Jezzard, P. (2003). Protocol to determine the optimal intraoral passive shim for minimisation of susceptibility artifact in human inferior frontal cortex. NeuroImage, 19(4), 1802-1811.
    DOI Scopus22 WoS23 Europe PMC15
    2003 Walters, N. B., Egan, G. F., Kril, J. J., Kean, M., Waley, P., Jenkinson, M., & Watson, J. D. G. (2003). In vivo identification of human cortical areas using high-resolution MRI: An approach to cerebral structure-function correlation. Proceedings of the National Academy of Sciences of the United States of America, 100(5), 2981-2986.
    DOI Scopus128 WoS119 Europe PMC104
    2003 Freire, L., & Jenkinson, M. (2003). A gradient-informed robust motion correction method for FMRI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2717, 377-386.
    DOI Scopus1 WoS1
    2003 Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003). General multilevel linear modeling for group analysis in FMRI. NeuroImage, 20(2), 1052-1063.
    DOI Scopus1234 WoS1160 Europe PMC1042
    2003 Jenkinson, M. (2003). Fast, automated, N-dimensional phase-unwrapping algorithm. Magnetic Resonance in Medicine, 49(1), 193-197.
    DOI Scopus596 WoS540 Europe PMC486
    2003 Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2003). MRI brain T1 relaxation time changes in MS patients increase over time in both the white matter and the cortex. Journal of Neuroimaging, 13(3), 234-239.
    DOI Scopus43 WoS36 Europe PMC37
    2003 Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., . . . Smith, S. M. (2003). Characterization and Propagation of Uncertainty in Diffusion-Weighted MR Imaging. Magnetic Resonance in Medicine, 50(5), 1077-1088.
    DOI Scopus2484 WoS2210 Europe PMC2028
    2003 Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2003). MRI Brain T1 Relaxation Time Changes in MS Patients Increase Over Time in Both the White Matter and the Cortex. Journal of Neuroimaging, 13(3), 234-239.
    DOI
    2002 Wilson, J. (2002). Fast, Fully Automated Global and Local Magnetic Field Optimization for fMRI of the Human Brain. NeuroImage, 17(2), 967-976.
    DOI
    2002 Jenkinson, M. (2002). Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images. NeuroImage, 17(2), 825-841.
    DOI
    2002 Wilson, J. L., Jenkinson, M., & Jezzard, P. (2002). Optimization of static field homogeneity in human brain using diamagnetic passive shims. Magnetic Resonance in Medicine, 48(5), 906-914.
    DOI Scopus84 WoS79 Europe PMC69
    2002 Wilson, J. L., Jenkinson, M., De Araujo, I., Kringelbach, M. L., Rolls, E. T., & Jezzard, P. (2002). Fast, fully automated global and local magnetic field optimization for fMRI of the human brain. NeuroImage, 17(2), 967-976.
    DOI Scopus133 WoS131 Europe PMC111
    2002 Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J., Matthews, P. M., Federico, A., & De Stefano, N. (2002). Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. NeuroImage, 17(1), 479-489.
    DOI Scopus1768 WoS1610 Europe PMC1450
    2002 Jenkinson, M., & Brady, M. (2002). A saliency-based hierarchy for local symmetries. Image and Vision Computing, 20(2), 85-101.
    DOI Scopus5 WoS5
    2002 Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2002). White matter and lesion T1 relaxation times increase in parallel and correlate with disability in multiple sclerosis. Journal of Neurology, 249(9), 1279-1286.
    DOI Scopus96 WoS75 Europe PMC78
    2002 Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2), 825-841.
    DOI Scopus9239 WoS7984 Europe PMC8179
    2001 Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5(2), 143-156.
    DOI Scopus5596 WoS5013 Europe PMC4725
    2001 Smith, S. M., De Stefano, N., Jenkinson, M., & Matthews, P. M. (2001). Normalized accurate measurement of longitudinal brain change. Journal of Computer Assisted Tomography, 25(3), 466-475.
    DOI Scopus446 WoS406 Europe PMC345
    2000 Reddy, H., Narayanan, S., Arnoutelis, R., Jenkinson, M., Antel, J., Matthews, P. M., & Arnold, D. L. (2000). Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis. Brain, 123(11), 2314-2320.
    DOI Scopus272 WoS246 Europe PMC183
    2000 Jenkinson, M., & Smith, S. M. (2000). Global optimisation for robust affine registration. NeuroImage, 11(5 PART II), S479.
    DOI Scopus4
    2000 Matthews, P. M., Piniero, R., Johannssen-Berg, H., Pendlebury, S., Lee, M., Reddy, H., . . . Arnold, D. L. (2000). Adaptive local reorganisation of primary motor cortex after brain injury. NeuroImage, 11(5 PART II), S149.
    DOI
    2000 Lee, M., Reddy, H., Johansen-Berg, H., Pendlebury, S., Jenkinson, M., Smith, S., . . . Matthews, P. M. (2000). The motor cortex shows adaptive functional changes to brain injury from multiple sclerosis. Annals of Neurology, 47(5), 606-613.
    DOI Scopus256 WoS228 Europe PMC168
    1997 MonWilliams, M., Wann, J. P., Jenkinson, M., & Rushton, K. (1997). Synaesthesia in the normal limb. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 264(1384), 1007-1010.
    DOI WoS69 Europe PMC49
    1994 DANBURY, R., & JENKINSON, M. (1994). SYNCHRONIZED SERVOMECHANISMS - THE SCALAR-FIELD APPROACH. IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 141(4), 261-273.
    DOI WoS7
    - Levy, A. A. L., Ingram, W. J., Jenkinson, M., Huntingford, C., Lambert, F. H., & Allen, M. (n.d.). Can correcting feature location in simulated mean climate improve agreement on projected changes?. Geophysical Research Letters.
    DOI

  • Books
    Year Citation
    2023 ESOC 2023 Abstract Book (2023). (Vol. 8). SAGE Publications.
    DOI
    2017 Arbel, T., Cardoso, M., Chung, A., Jenkinson, M., Ribbens, A., & Wells, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Vol. 10081 LNCS). H. Muller, B. Kelm, T. Arbel, W. CaI, M. Cardoso, G. Langs, . . . A. Ribbens (Eds.), Springer International Publishing AG.
    2017 Arbel, T., Cardoso, M., Chung, A., Jenkinson, M., Ribbens, A., & Wells, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Vol. 10081 LNCS). H. Muller, B. Kelm, T. Arbel, W. CaI, M. Cardoso, G. Langs, . . . A. Ribbens (Eds.), Springer International Publishing AG.

  • Book Chapters
    Year Citation
    2022 Drobnjak, I., Graham, M., Zhang, H., & Jenkinson, M. (2022). Optimization of the MR imaging pipeline using simulation. In Biomedical Image Synthesis and Simulation: Methods and Applications (pp. 165-193). Elsevier.
    DOI
    2022 Mehta, O., Liao, Z., Jenkinson, M., Carneiro, G., & Verjans, J. (2022). Machine Learning in Medical Imaging - Clinical Applications and Challenges in Computer Vision. In Artificial Intelligence in Medicine: Applications, Limitations and Future Directions (pp. 79-99). Springer Nature Singapore.
    DOI Scopus3
    2022 Pedersen, M., Verspoor, K., Abbott, D. F., Jenkinson, M., Sinclair, B., Law, M., & Jackson, G. D. (2022). Deep learning for reliable detection of epileptogenic lesions. In Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence (pp. 163-175). Elsevier.
    DOI
    2021 Sundaresan, V., Griffanti, L., & Jenkinson, M. (2021). Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. In A. Crimi, & S. Bakas (Eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Vol. 12658 LNCS, pp. 340-353). Switzerland: Springer International Publishing.
    DOI Scopus21 WoS8
    2012 Jenkinson, M. (2012). Registration, atlases and cortical flattening. In Functional Magnetic Resonance Imaging: An Introduction to Methods (pp. 271-295). Oxford University PressOxford.
    DOI
    2001 Jenkinson, M., & Smith, S. (2001). The role of registration in functional magnetic resonance imaging. In Medical Image Registration (pp. 183-198).
    Scopus8

  • Conference Papers
    Year Citation
    2024 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024). SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. In Proceedings of the IEEE International Conference on Computer Vision (pp. 11460-11471). Online: IEEE.
    DOI Scopus2
    2024 Costigan-Dwyer, R. A., Stuckey, S. M., Hood, R. J., Joubert, S. L., Farr, T. D., Almuqbel, M., . . . Turner, R. J. (2024). Exploring the long-term blood-brain-barrier alterations associated with post-stroke secondary neurodegeneration in an ovine model. In Abstracts of the Asia Pacific Stroke Conference Combined Australian and New Zealand Stroke Organisation Conference (2024) as published in Cerebrovascular Diseases Vol. 53 (pp. 231). Adelaide, South Australia: Karger Publishers.
    DOI
    2024 Collins-Praino, L., McNamara, A., Ellul, B., Baetu, I., Lau, S., & Jenkinson, M. (2024). Beyond Clinical Presentation: Incorporating Neuroimaging and Biofluid Markers to Predict Progression of Parkinson's disease (PD). In MOVEMENT DISORDERS Vol. 39 (pp. S63-S64). PA, Philadelphia: WILEY.
    2023 Zeng, M., Xie, Y., To, M. S., Oakden-Rayner, L., Whitbread, L., Bacchi, S., . . . Jenkinson, M. (2023). Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14224 LNCS (pp. 696-705). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI Scopus2
    2023 Mayles, H., Haylock, B., & Jenkinson, M. (2023). ROAM (EORTC 1308) trial - impact of prospective trial reviews on protocol adherence. In RADIOTHERAPY AND ONCOLOGY Vol. 182 (pp. S327-S328). AUSTRIA, Vienna: ELSEVIER IRELAND LTD.
    2023 Jenkinson, M., Meek, D., MacMillan, S., Tate, R., Grant, M. H., & Currie, S. (2023). Cardiac function is compromised in patients with elevated blood cobalt levels secondary to metal-on-metal hip implants. In HEART Vol. 109 (pp. A5). SCOTLAND, Univ of Aberdeen, Aberdeen: BMJ PUBLISHING GROUP.
    DOI Scopus3
    2023 Lau, S., Sharma, D., Rao, S., Snel, M., Milton, A., Edwards, S., . . . Hamilton-Bruce, A. (2023). Proteomics-based classification of transient ischaemic attacks, mimics and healthy controls using machine learning. In European Stroke Journal Vol. 8 (pp. 624-625). Munich, Germany.
    DOI
    2022 Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.. In EMBC (pp. 3510-3513). IEEE.
    2022 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2022). FedHarmony: Unlearning Scanner Bias with Distributed Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13438 LNCS (pp. 695-704). Online: Springer.
    DOI Scopus10
    2022 Whitbread, L., & Jenkinson, M. (2022). Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity. In C. H. Sudre, C. F. Baumgartner, A. Dalca, C. Qin, R. Tanno, K. Van Leemput, & W. M. Wells III (Eds.), International Workshop, UNSURE 2022 Held in Conjunction with MICCAI 2022. Proceedings Vol. 13563 LNCS (pp. 26-35). Singapore: Springer Verlag.
    DOI Scopus4
    2022 Sundaresan, V., Dinsdale, N. K., Jenkinson, M., & Griffanti, L. (2022). Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. In Proceedings - International Symposium on Biomedical Imaging Vol. 2022-March (pp. 4 pages). Online: IEEE.
    DOI
    2022 Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual information neural estimation for unsupervised multi-modal registration of brain images. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2022-July (pp. 3510-3513). Online: IEEE.
    DOI Scopus7
    2021 Gentile, G., Jenkinson, M., Griffanti, L., Lucchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2021). BIANCA-MS: A novel artificial intelligence tool for multiple sclerosis automated lesions segmentation. In JOURNAL OF THE NEUROLOGICAL SCIENCES Vol. 429 (pp. 2 pages). Rome, ITALY: ELSEVIER.
    DOI
    2021 Jurynczyk, M., Klimiec-Moskal, E., Kong, Y., Hurley, S., Messina, S., Yeo, T., . . . Palace, J. (2021). Clinical, radiological and quantitative imaging analysis reveals distinct subgroups in the antibody-negative neuromyelitis optica/multiple sclerosis overlap cohort. In MULTIPLE SCLEROSIS JOURNAL Vol. 27 (pp. 443). SAGE PUBLICATIONS LTD.
    2021 Fiondella, L., Mattioli, I., Vinceti, G., Chiari, A., Tondelli, M., Arya, Z., . . . Zamboni, G. (2021). THE BRAIN CORRELATES OF BEHAVIORAL DISTURBANCES IN FRONTOTEMPORAL DEMENTIA. In EUROPEAN JOURNAL OF NEUROLOGY Vol. 28 (pp. 92). WILEY.
    2021 To, M. S., Sarno, I. G., Chong, C., Jenkinson, M., & Carneiro, G. (2021). Self-supervised lesion change detection and localisation in longitudinal multiple sclerosis brain imaging. In Proceedings of the 24th International Conference on Medical Image Computing and Computer - Assisted Intervention as published in Image Processing, Computer Vision, Pattern Recognition, and Graphics Vol. 12907 LNCS (pp. 670-680). online: Springer International Publishing.
    DOI Scopus6
    2021 Wyburd, M. K., Dinsdale, N. K., Namburete, A. I. L., & Jenkinson, M. (2021). TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12901 LNCS (pp. 250-260). Switzerland: Springer International Publishing.
    DOI Scopus16 WoS5
    2021 Corral Acero, J., Sundaresan, V., Dinsdale, N., Grau, V., & Jenkinson, M. (2021). A 2-step deep learning method with domain adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. In Proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2020), as published in Lecture Notes in Computer Science Vol. 12592 (pp. 196-207). Cham, Switzerland: Springer International Publishing.
    DOI Scopus11
    2021 Wyburd, M. K., Hesse, L. S., Aliasi, M., Jenkinson, M., Papageorghiou, A. T., Haak, M. C., & Namburete, A. I. L. (2021). Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12959 LNCS (pp. 242-252). Switzerland: Springer International Publishing.
    DOI Scopus13 WoS3
    2020 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2020). Unlearning Scanner Bias for MRI Harmonisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12262 LNCS (pp. 369-378). Switzerland: Springer Nature.
    DOI Scopus13
    2020 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2020). Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. In Communications in Computer and Information Science Vol. 1248 CCIS (pp. 15-25). Switzerland: Springer Nature.
    DOI Scopus5
    2020 Wyburd, M. K., Jenkinson, M., & Namburete, A. I. L. (2020). Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound. In Communications in Computer and Information Science Vol. 1248 CCIS (pp. 56-68). Switzerland: Springer Nature.
    DOI Scopus13 WoS5
    2019 Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2019). Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11766 LNCS (pp. 284-291). Switzerland: Springer.
    DOI Scopus20 WoS11
    2018 Saillant, A., Platsch, G., Shah, V., Zuehlsdorff, S., Jenkinson, M., & Chappell, M. (2018). Reliability of myocardial blood flow estimates in abnormal scans. In JOURNAL OF NUCLEAR MEDICINE Vol. 59 (pp. 2 pages). Philadelphia, PA: SOC NUCLEAR MEDICINE INC.
    2018 Williamson, W., Lewandowski, A. J., Huckstep, O., Visse, E., Betts, J., Jenkinson, M., . . . Leeson, P. (2018). Thalamic Volume is a Predictor of Cardiac Function at Rest and During Exercise in Young Adults. In CIRCULATION Vol. 138 (pp. 2 pages). LIPPINCOTT WILLIAMS & WILKINS.
    2017 Saillant, A., Saint, K., Memmott, M., Armstrong, I., Shah, V., Zuehlsdorff, S., . . . Chappell, M. (2017). Estimation and reliability of myocardial blood flow after motion correction with dynamic PET using a Bayesian framework. In EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING Vol. 44 (pp. S356). SPRINGER.
    WoS1
    2016 Battaglini, M., Jenkinson, M., & De Stefano, N. (2016). SIENA-XL for the assessment of gray matter and white matter volume changes in clinical studies of patients with multiple sclerosis.. In MULTIPLE SCLEROSIS JOURNAL Vol. 22 (pp. 841). London, ENGLAND: SAGE PUBLICATIONS LTD.
    2016 Bozek, J., Fitzgibbon, S., Wright, R., Rueckert, D., Jenkinson, M., & Robinson, E. C. (2016). Construction of a neonatal cortical surface atlas using multimodal surface matching. In Proceedings - International Symposium on Biomedical Imaging Vol. 2016-June (pp. 775-778). online: IEEE.
    DOI Scopus7 WoS4
    2016 Arya, Z., Griffanti, L., Mackay, C. E., & Jenkinson, M. (2016). Iterative dual LDA: A novel classification algorithm for resting state fMRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10019 LNCS (pp. 279-286). Netherlands: Springer.
    DOI Scopus1 WoS1
    2015 Battaglini, M., Jenkinson, M., & De Stefano, N. (2015). Improving measurement errors in the assessment of GM and WM volume changes using a new sienax procedure. In MULTIPLE SCLEROSIS JOURNAL Vol. 21 (pp. 495). Barcelona, SPAIN: SAGE PUBLICATIONS LTD.
    2015 Zamboni, G., Griffanti, L., Bonifacio, G., Mazzucco, S., Khan, A., Pendlebury, S., . . . Rothwell, P. (2015). Association between macroscopic and microstructural white matter damage and cognition in vascular cognitive impairment. In INTERNATIONAL JOURNAL OF STROKE Vol. 10 (pp. 381). WILEY-BLACKWELL.
    2015 Griffanti, L., Zamboni, G., Khan, A., Bonifacio, G., Li, L., Mazzucco, S., . . . Jenkinson, M. (2015). Validation of automated segmentation of white matter hyperintensities on MRI: Correlation with cognitive function after TIA and stroke. In INTERNATIONAL JOURNAL OF STROKE Vol. 10 (pp. 62). WILEY-BLACKWELL.
    2014 Matthews, L., Kolind, S., Brazier, A., Leite, M. I., Brooks, J., Jenkinson, M., . . . Palace, J. (2014). Inflammation does not cause chronic global neurodegeneration in NMO? A longitudinal multimodel quantitative MRI study comparing NMO and MS. In MULTIPLE SCLEROSIS JOURNAL Vol. 20 (pp. 282). Boston, MA: SAGE PUBLICATIONS LTD.
    2013 Battaglini, M., Jenkinson, M., Giorgio, A., Rocca, M. A., Filippi, M., Palace, J., & De Stefano, N. (2013). Improved MRI-derived assessment of grey and white matter volumes by using SIENAX. In MULTIPLE SCLEROSIS JOURNAL Vol. 19 (pp. 424-425). Copenhagen, DENMARK: SAGE PUBLICATIONS LTD.
    2013 Arun, T., Tomassini, V., Sbardella, E., de Ruiter, M., Matthews, L., Leite, M., . . . Palace, J. (2013). ASIC1 Blockade in Primary Progressive Multiple Sclerosis: Evidence of Neuroprotection with Amiloride. In NEUROLOGY Vol. 80 (pp. 1 page). San Diego, CA: LIPPINCOTT WILLIAMS & WILKINS.
    WoS1
    2013 Heinrich, M. P., Jenkinson, M., Papiez, B. W., Glesson, F. V., Brady, S. M., & Schnabel, J. A. (2013). Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7917 LNCS (pp. 463-474). Germany: Springer Berlin Heidelberg.
    DOI Scopus19 Europe PMC4
    2013 Heinrich, M. P., Jenkinson, M., Papiez, B. W., Brady, S. M., & Schnabel, J. A. (2013). Towards realtime multimodal fusion for image-guided interventions using self-similarities. In K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8149 LNCS (pp. 187-194). Nagoya Univ, Nagoya, JAPAN: SPRINGER-VERLAG BERLIN.
    DOI Scopus141 WoS107 Europe PMC42
    2013 Bhushan, M., Schnabel, J. A., Chappell, M., Gleeson, F., Anderson, M., Franklin, J., . . . Jenkinson, M. (2013). The impact of heterogeneity and uncertainty on prediction of response to therapy using dynamic MRI data.. In K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 16 (pp. 316-323). Nagoya Univ, Nagoya, JAPAN: SPRINGER-VERLAG BERLIN.
    DOI Scopus3 WoS2 Europe PMC1
    2012 Heinrich, M. P., Jenkinson, M., Brady, S. M., & Schnabel, J. A. (2012). Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7512 LNCS (pp. 115-122). Nice, FRANCE: SPRINGER-VERLAG BERLIN.
    DOI Scopus46 WoS30 Europe PMC10
    2012 Heinrich, M. P., Jenkinson, M., Brady, S. M., & Schnabel, J. A. (2012). Textural mutual information based on cluster trees for multimodal deformable registration. In Proceedings - International Symposium on Biomedical Imaging (pp. 1471-1474). Barcelona, SPAIN: IEEE.
    DOI Scopus8 WoS5
    2012 Gunn, R. N., Jenkinson, M., Rabinner, E. A., Behrens, T., Shotbolt, P., Long, C., . . . Tziortzi, A. C. (2012). Quantification of dopamine release within the connectivity-derived functional subdivision of striatum. In JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM Vol. 32 (pp. S166). Baltimore, MD: NATURE PUBLISHING GROUP.
    WoS1
    2012 Matthews, L. A. E., Marasco, R., Jenkinson, M., Kuker, W., Leite, M. I., Giorgio, A., . . . Palace, J. (2012). Neuromyelitis optica spectrum disorder and multiple sclerosis can be distinguished on the basis of MRI brain lesion characteristics. In MULTIPLE SCLEROSIS JOURNAL Vol. 18 (pp. 9-10). Lyon, FRANCE: SAGE PUBLICATIONS LTD.
    2012 Fabes, J., Matthews, L., Fillipini, N., Talbot, K., Jenkinson, M., & Turner, M. R. (2012). Quantitative Analysis of FLAIR Images in ALS Has Diagnostic Potential. In ANNALS OF NEUROLOGY Vol. 72 (pp. S79). Boston, MA: WILEY-BLACKWELL.
    2012 Kolasinski, J., Stagg, C. J., Chance, S., Esiri, M., Chang, E., Palace, J. A., . . . Johansen-Berg, H. (2012). COMPARISON OF HISTOLOGICAL AND DIFFUSION-WEIGHTED MRI TECHNIQUES IN THE ANALYSIS OF POST MORTEM MULTIPLE SCLEROSIS BRAINS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 83 (pp. 1 page). Newcastle, ENGLAND: BMJ PUBLISHING GROUP.
    DOI
    2012 Arun, T., Sbdarella, E., Ruiter, M., Tomassini, V., Leite, M. I., Craner, M., . . . Palace, J. (2012). AMILORIDE TREATMENT AMELIORATES MRI SURROGATE MARKERS OF NEURODEGENERATION IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 83 (pp. 1 page). Gateshead, ENGLAND: B M J PUBLISHING GROUP.
    DOI
    2011 Matthews, L., Kolind, S., Jenkinson, M., Leite, M., Johansen-Berg, H., & Palace, J. (2011). Distinction of aquaporin-4 antibody positive neuromyelitis optica from multiple sclerosis using diffusion tensor and myelin water imaging. In MULTIPLE SCLEROSIS JOURNAL Vol. 17 (pp. S165). SAGE PUBLICATIONS LTD.
    2011 Tziortzi, A., Searle, G., Long, C., Shotbolt, P., Rabiner, E., Jenkinson, M., & Gunn, R. (2011). A diffusion tensor imaging (DTI) and [11C]PHNO PET study to measure dopamine release in the functional subdivisions of the basal ganglia. In JOURNAL OF NUCLEAR MEDICINE Vol. 52 (pp. 2 pages). SOC NUCLEAR MEDICINE INC.
    2011 de Ruiter, M. B., Tomassini, V., Arun, T., Jbabdi, S., Matthews, L. A., Sbardella, E., . . . Palace, J. (2011). Acid-sensing ion channel 1 blockade preserves brain microstructural integrity in patients with multiple sclerosis. In MULTIPLE SCLEROSIS JOURNAL Vol. 17 (pp. S205). SAGE PUBLICATIONS LTD.
    2011 Bhushan, M., Schnabel, J. A., Risser, L., Heinrich, M. P., Brady, J. M., & Jenkinson, M. (2011). Motion correction and parameter estimation in dceMRI sequences: Application to colorectal cancer. In G. Fichtinger, A. Martel, & T. Peters (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6891 LNCS (pp. 476-483). Toronto, CANADA: SPRINGER-VERLAG BERLIN.
    DOI Scopus38 WoS33 Europe PMC13
    2011 Tziortzi, A., Searle, G., Tsoumpas, C., Long, C., Shotbolt, P., Rabiner, E., . . . Gunn, R. N. (2011). MR-DTI and PET multimodal imaging of dopamine release within subdivisions of basal ganglia. In Journal of Physics: Conference Series Vol. 317 (pp. 3 pages). CYPRUS: IOP PUBLISHING LTD.
    DOI Scopus2 WoS1
    2011 Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, J. M., & Schnabel, J. A. (2011). Non-local shape descriptor: A new similarity metric for deformable multi-modal registration. In G. Fichtinger, A. Martel, & T. Peters (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6892 LNCS (pp. 541-548). Toronto, CANADA: SPRINGER-VERLAG BERLIN.
    DOI Scopus22 WoS19 Europe PMC3
    2010 Bishopy, C. A., Jenkinson, M., Declerck, J., & Merhof, D. (2010). Evaluation of hippocampal segmentation methods for healthy and pathological subjects. In EG VCBM 2010 - Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 17-24).
    DOI Scopus3
    2010 Tarunya, A., Smith, S., Jenkinson, M., Palace, J. A., & Beckmann, C. (2010). PREDICTING BRAIN ATROPHY AT 1 YEAR BY BASELINE MULTIMODAL MRI DATA. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 81 (pp. E42). Bournemouth, ENGLAND: B M J PUBLISHING GROUP.
    DOI
    2010 Tziortzi, A. C., Douaud, G., Shotbolt, P., Bishop, C., Searle, G., Laruelle, M., . . . Gunn, R. N. (2010). A combined diffusion tensor imaging (DTI) and [11C]-(+)-PHNO positron emission tomography (PET) study to quantify dopamine D3/D2 receptors in pallidum. In NEUROIMAGE Vol. 52 (pp. S23). Glasgow, SCOTLAND: ACADEMIC PRESS INC ELSEVIER SCIENCE.
    DOI WoS6
    2010 Arun, T., Smith, S., Weir, A. P., Palace, J., & Jenkinson, M. (2010). DIRECT COMPARISON OF MULTIPLE NONLESIONAL IMAGING MEASURES TO ASSESS THEIR POWER TO MEASURE TREATMENT EFFECTS OVER 1 YEAR IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 81 (pp. E52-E53). Bournemouth, ENGLAND: B M J PUBLISHING GROUP.
    DOI
    2009 Poynton, C., Jenkinson, M., & Wells, W. (2009). Atlas-based improved prediction of magnetic field inhomogeneity for distortion correction of EPI data. In G. Z. Yang, D. Hawkes, D. Rueckert, A. Nobel, & C. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5762 LNCS (pp. 951-959). Imperial Coll, London, ENGLAND: SPRINGER-VERLAG BERLIN.
    DOI Scopus6 WoS6 Europe PMC4
    2009 Petrović, A., Smith, S. M., Menke, R. A., & Jenkinson, M. (2009). Methods for tractography-driven surface registration of brain structures.. In G. Z. Yang, D. Hawkes, D. Rueckert, A. Nobel, & C. Taylor (Eds.), Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 12 (pp. 705-712). Imperial Coll, London, ENGLAND: SPRINGER-VERLAG BERLIN.
    DOI Scopus8 WoS6 Europe PMC3
    2008 Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2008). Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI. In D. Metaxas, L. Axel, G. Fichtinger, & G. Szekely (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5241 LNCS (pp. 409-416). New York, NY: SPRINGER-VERLAG BERLIN.
    DOI Scopus67 WoS53 Europe PMC18
    2008 Poynton, C., Jenkinson, M., Whalen, S., Golby, A. J., & Wells, W. (2008). Fieldmap-free retrospective registration and distortion correction for EPI-based functional imaging. In D. Metaxas, L. Axel, G. Fichtinger, & G. Szekely (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5242 LNCS (pp. 271-279). New York, NY: SPRINGER-VERLAG BERLIN.
    DOI Scopus6 WoS3 Europe PMC2
    2008 Glahn, D. C., Jenkinson, M., Monkul, E. S., Robinson, J. L., Bearden, C. E., Escamilla, M. A., . . . Patenaude, B. (2008). Amygdala enlargement and shape distortion in bipolar disorder. In BIOLOGICAL PSYCHIATRY Vol. 63 (pp. 232S-233S). Washington, DC: ELSEVIER SCIENCE INC.
    WoS1
    2007 Zöllei, L., Jenkinson, M., Timoner, S., & Wells, W. (2007). A marginalized MAP approach and EM optimization for pair-wise registration. In N. Karssemeijer, & B. Lelieveldt (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4584 LNCS (pp. 662-674). NETHERLANDS, Kerkrade: SPRINGER-VERLAG BERLIN.
    DOI Scopus14 WoS5 Europe PMC8
    2006 Patenaude, B., Smith, S., & Jenkinson, M. (2006). A Bayesian cost function applied to model-based registration of sub-cortical brain structures. In J. P. W. Pluim, B. Likar, & F. A. Gerritsen (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4057 LNCS (pp. 9-17). Utrecht Univ, Utrecht, NETHERLANDS: SPRINGER-VERLAG BERLIN.
    DOI
    2006 Babalola, K. O., Cootes, T. F., Patenaude, B., Rao, A., & Jenkinson, M. (2006). Comparing the similarity of statistical shape models using the bhattacharya metric. In R. Larsen, M. Nielsen, & J. Sporring (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4190 LNCS - I (pp. 142-150). Copenhagen, DENMARK: SPRINGER-VERLAG BERLIN.
    DOI Scopus8 WoS6 Europe PMC3
    2005 Crum, W. R., Camara, O., Rueckert, D., Bhatia, K. K., Jenkinson, M., & Hill, D. L. G. (2005). Generalised overlap measures for assessment of pairwise and groupwise image registration and segmentation. In J. S. Duncan, & G. Gerig (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 3749 LNCS (pp. 99-106). Palm Springs, CA: SPRINGER-VERLAG BERLIN.
    DOI Scopus31 WoS25 Europe PMC20
    2004 Crum, W. R., Rueckert, D., Jenkinson, M., Kennedy, D., & Smith, S. M. (2004). A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging. In C. Barillot, D. R. Haynor, & P. Hellier (Eds.), Lecture Notes in Computer Science Vol. 3216 (pp. 679-686). St Malo, FRANCE: SPRINGER-VERLAG BERLIN.
    DOI Scopus50 WoS39
    2004 Bannister, P. R., Brady, J. M., & Jenkinson, M. (2004). Non-rigid motion estimation and spatiooral realignment in FMRI. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2004-January (pp. 4). IEEE.
    DOI
    2004 Loftus, C., Jenkinson, M., & Egan, G. F. (2004). High resolution boundary element forward models for sensor arrays: An application to electroencephalography. In M. Palaniswami, B. Krishnamachari, & S. Challa (Eds.), Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 (pp. 599-604). Melbourne, AUSTRALIA: IEEE.
    2004 Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., . . . Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. In NeuroImage Vol. 23 (pp. S208-S219). Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA: ACADEMIC PRESS INC ELSEVIER SCIENCE.
    DOI Scopus10891 WoS9355 Europe PMC9192
    2003 Jenkinson, M., Wilson, J., & Jezzard, P. (2003). Modelling B0 induced artifacts in fMRI using perturbation calculations. In AUSTRALIAN JOURNAL OF PSYCHOLOGY Vol. 55 (pp. 21). AUSTRALIAN PSYCHOLOGICAL SOC.
    WoS1
    2003 Loftus, C. M., Jenkinson, M., Wright, M., Sergejew, A. A., & Egan, G. F. (2003). Recovering simulated EEG source time series using independent component analysis. In AUSTRALIAN JOURNAL OF PSYCHOLOGY Vol. 55 (pp. 23). AUSTRALIAN PSYCHOLOGICAL SOC.
    2002 Walters, N., Jenkinson, M., Kean, M., Watson, J. D., & Egan, G. F. (2002). Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. In L. Wang, J. C. Rajapakse, K. Fukushima, S. Y. Lee, & X. Yao (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age Vol. 1 (pp. 193-196). SINGAPORE, SINGAPORE: NANYANG TECHNOLOGICAL UNIV.
    DOI Scopus1 WoS1
    2001 Smith, S., Zhang, Y. Y., Jenkinson, M., Matthews, P. M., & De Stefano, N. (2001). SIENA: Single and multiple time point brain atrophy analysis. In NEUROIMAGE Vol. 13 (pp. S250). ACADEMIC PRESS INC.
    WoS1
    2001 Jenkinson, M. (2001). Improved unwarping of EPI images using regularised B0 maps. In NEUROIMAGE Vol. 13 (pp. S165). ACADEMIC PRESS INC.
    WoS20
    2001 Hall, D., Gonçalves, M., Smith, S., Jezzard, P., Jenkinson, M., & Haggard, M. (2001). Venous contribution to high magnitude BOLD contrast activation. In NEUROIMAGE Vol. 13 (pp. S143). ACADEMIC PRESS INC.
    2001 Bannister, P. R., & Jenkinson, M. (2001). Robust affine motion correction in fMRI time series. In NEUROIMAGE Vol. 13 (pp. S70). ACADEMIC PRESS INC.
    WoS6
    2001 Bannister, P. R., Beckmann, C., & Jenkinson, M. (2001). Exploratory motion analysis in fMRI using ICA. In NEUROIMAGE Vol. 13 (pp. S69). ACADEMIC PRESS INC.
    WoS3
    2001 Smith, S., Bannister, P. R., Beckmann, C., Brady, M., Clare, S., Flitney, D., . . . Zhang, Y. Y. (2001). FSL: New tools for functional and structural brain image analysis. In NEUROIMAGE Vol. 13 (pp. S249). ACADEMIC PRESS INC.
    WoS38
    1999 Smith, S., & Jenkinson, M. (1999). Accurate robust symmetry estimation. In C. Taylor, & A. Colchester (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1679 (pp. 308-317). CAMBRIDGE, ENGLAND: SPRINGER-VERLAG BERLIN.
    DOI Scopus24 WoS18
    1997 Jenkinson, M., & Brady, M. (1997). Feature saliency from noise variations in invariants. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1352 (pp. 41-48). Springer Berlin Heidelberg.
    DOI

  • Conference Items
    Year Citation
    2023 Sharma, D., Snel, M., Trim, P., Lau, S., Jenkinson, M., Edwards, S., . . . Hamilton-Bruce, A. (2023). Discovery Lipidomics to Differentiate between Transient Ischaemic Attacks (TIAs), TIA Mimics, and Minor Stroke: A Clinical Study at the Royal Adelaide Hospital. Poster session presented at the meeting of Abstracts of Stroke 2023 - The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, as published in International Journal of Stroke. Melbourne, Australia: SAGE Publications.
    DOI
    2023 Kenyon, G., Lau, S., Chappell, M., & Jenkinson, M. (2023). Open Access Automated Segmentation of Cerebral Blood Vessels from MRA using Hysteresis. Poster session presented at the meeting of INTERNATIONAL JOURNAL OF STROKE. SAGE PUBLICATIONS LTD.
    2023 McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Utility of Baseline Pathological, Neuroimaging and Clinical Markers for Progression Prognosis and Subtype Classification in Early Parkinson's Disease: Implications for Cognitive Impairment. Poster session presented at the meeting of Abstracts of the Alzheimer's Association International Conference (AAIC 2023), as published in Alzheimer's & Dementia Journal. Amsterdam, The Netherlands: Wiley.
    DOI
    2023 McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers. Poster session presented at the meeting of Abstracts of the 6th World Parkinson Congress, as published in Journal of Parkinson's Disease. Barcelona, Spain: IOS Press.
    DOI
    2023 Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting longitudinal cognition and mood changes in newly diagnosed Parkinson's Disease from substantia nigra imaging (Oral Presentation). Poster session presented at the meeting of ACNS Conference Sydney 2023. https://drive.google.com/drive/folders/1Ixovo4O6LZNfSrf4S0Ds6vkbmyayHHEt.
    2022 McNamara, A., Ellul, B., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). Predicting Progression of Parkinson’s Disease Motor Outcomes Using a Multimodal Combination of Baseline Clinical Measures, Neuroimaging and Biofluid Markers in Early PD. Poster session presented at the meeting of Australasian Neuroscience Conference 2022. Melbourne.
    2022 Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). The role of the substantia nigra in predicting longitudinal cognitive and mood changes in newly diagnosed Parkinson’s Disease. Poster session presented at the meeting of Australasian Neuroscience Conferences 2022. Melbourne, Australia.
    2022 Waldman, A. D., Catania, C., Pisa, M., Jenkinson, M., Lenardo, M., & De Luca, G. C. (2022). The prevalence and topography of spinal cord demyelination and inflammatory activity in multiple sclerosis. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD.
    2022 Messina, S., Mariano, R., Roca-Fernandez, A., Leite, M. I., Calabrese, M., Jenkinson, M., . . . Palace, J. (2022). Cognitive function and imaging correlates in MOGAD: a comparison with MS and NMOSD-AQP4. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD.
    2022 Gentile, G., Jenkinson, M., Griffanti, L., Luchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2022). Improving automated lesion segmentation using intensity constraints: the cleaning step. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD.
    2020 Milton, A. G., Kremer, K. L., Rao, S. R., Mas, E., Snel, M. F., Trim, P. J., . . . Hamilton-Bruce, M. A. (2020). A Prospective Cohort Study to Develop and Validate a Multivariable Prediction Model for Transient Ischaemic Attack (TIA) Diagnosis Using Proteomic Discovery and Candidate Lipid Mass Spectrometry, Neuroimaging and Machine Learning: Study Protocol. Poster session presented at the meeting of Abstracts of the Annual Conference of the Asia Pacific Stroke Organization (APSO 2020), as published in Cerebrovascular Diseases. Korea: Karger.
    DOI
    2019 Gentile, G., Battaglini, M., Luchetti, L., Giorgio, A., Griffanti, L., Sundaresan, V., . . . De Stefano, N. (2019). BIANCA for an automatic detection of multiple sclerosis lesions using machine learning. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Stockholm, SWEDEN: SAGE PUBLICATIONS LTD.
    2019 Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Everett, R., Reeve, S., . . . Palace, J. (2019). Normal appearing white matter and lesional integrity in MOG-Ab disease and MS: a diffusion-weighted imaging study. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. SWEDEN, Stockholm: SAGE PUBLICATIONS LTD.

  • Preprint
    Year Citation
    2024 Whitbread, L., Laurenz, S., Palmer, L., Jenkinson, M., & the Alzheimer’s Disease Neuroimaging Initiative. (2024). Deep-diffeomorphic networks for conditional brain templates.
    DOI
  • 2023       MRFF (investigator) - Spatial navigation assessment: pathway to clinical translation and early diagnosis of dementia (total funds $2m)
  • 2023       MRFF (investigator) - The feasibility and potential of a novel robotic gait bioprosthesis for people with severe gait impairment post-stroke (total funds $513k)
  • 2020       MRFF (investigator) - Traumatic Brain Injury Mission: Forecasting Impairment and Neurodegenerative Disease risk following Traumatic Brain Injury (FIND-TBI): A computational neurology-driven method to predict long-term prognosis (total funds $2m)
  • 2019        Wellcome Trust Collaborative Award (co-investigator) - Integrative imaging of brain structure and function in populations and individuals (total funds £3.8m)
  • 2017        Wellcome Trust Centre for Integrative Neuroimaging (co-investigator) - Wellcome Trust Centre Grant (total funds £11m)
  • 2013        Cancer Research UK - Oxford Cancer Imaging Centre (applicants in the Image Analysis Programme: Mike Brady, Michael Chappell, Vicente Grau, Mark Jenkinson, Peter Jezzard, and Julia Schnabel) (total funds of £16m across 6 Programmes)
  • 2012        Wellcome Trust Strategic Award (co-investigator) - Integrated multimodal brain imaging for neuroscience research and clinical practice (total funds £2m)
  • 2011        NERC Grant (co-investigator) - Constraining the response of the hydrological cycle, land surface and regional weather to global change (HYDRA) (total funds £121K)
  • 2010        NIH Grant (co-investigator) - Mapping the Human Connectome: Structure, Function and Heritability (total funds US$30m)
  • 2009        EPSRC Grant (co-applicant) - New Tools for Understanding White Matter Disease using Diffusion MRI (total funds £555K)
  • 2006        GlaxoSmithKline Grant (co-applicant) - Integrated structural and diffusion imaging for Alzheimer's (total funds £121K)
  • 2005        David Phillips Fellowship (principal investigator) from the UK BBSRC (total funds £395K)
  • 2005        DTI Grant (co-applicant) - Functional brain imaging: Relating patient data to the population (total funds £150K)
  • 2004        EPSRC Grant (co-applicant) - Integrated Brain Image Modelling (total funds £750K)
  • 2003        EPSRC Grant (co-author) - Information eXtraction from Images (total funds £555K)
  • 2002        GlaxoSmithKline Grant (co-author) - FMRI Group Statistics (total funds £190K)
  • University of Adelaide: Using Machine Learning Tools
  • International: FSL Courses
  • University of Oxford: MRI Graduate Programme

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-Supervisor Development of a New Cognitive Reserve Measure: Implications for Parkinson’s Disease and Traumatic Brain Injury Doctor of Philosophy Doctorate Full Time Mr Isaac Calvin Saywell
    2024 Principal Supervisor Using Explainable Machine Learning to Explore Risk Signatures for Parkinson's Disease in Integrated Medical Imaging and Clinical Data Doctor of Philosophy Doctorate Full Time Mr Ankush Gajanan Arudkar
    2022 Principal Supervisor Using AI to predict clinical outcomes in dementia Doctor of Philosophy Doctorate Full Time Luke Thomas Whitbread
    2021 Principal Supervisor Anatomically-based Deep Learning Models for Improved Neuroimaging Analysis Doctor of Philosophy under a Jointly-awarded Degree Agreement with Doctorate Full Time Miss Georgia Kenyon

  • Past Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 - 2025 Co-Supervisor Bridging the Gap Between Parkinson’s Disease and Traumatic Brain Injury: The Role of Biological Assessments for Early Detection of Neurodegenerative Disease Risk and Prognosis of Clinical Outcomes Doctor of Philosophy Doctorate Full Time Mr Angus McNamara
    2021 - 2025 Co-Supervisor Prediction of cognitive and mood trajectories and clinical awareness of neurodegenerative disease risk following traumatic brain injury Doctor of Philosophy Doctorate Full Time Mr Benjamin Paul Ellul
    2020 - 2024 Co-Supervisor Weakly-supervised learning in Computer Vision and Medical Imaging Doctor of Philosophy Doctorate Full Time Mr Fengbei Liu
    2020 - 2024 Co-Supervisor Prognostication of large-vessel ischaemic stroke treated with endovascular thrombectomy Doctor of Philosophy Doctorate Full Time Miss Minyan Zeng

  • Committee Memberships
    Date Role Committee Institution Country
    2015 - ongoing Member INCF Human Atlas Working Group INCF United States
    2005 - 2008 Member ISMRM Scientific Annual Meeting Program Committee ISMRM United States
    2004 - 2007 Member NIH Data Format Working Group (NIfTI) NIH United States
  • Position: Professor of Neuro-Imaging
  • Email: mark.jenkinson@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 1
  • Org Unit: Computer Science
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