![Mark Jenkinson](/sites/default/files/styles/profile_large/public/profile-images/22525.jpeg?itok=9ROYgTe1)
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.
- My Research
- Career
- Publications
- Grants and Funding
- Teaching
- Supervision
- Professional Activities
- Contact
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.
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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)
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Journals
Year Citation 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, 14 pages.
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 Neurology Open, 6(1), 8 pages.
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), 14 pages.
2023 Evangelisti, S., Boessenkool, S., Patrick Pflanz, C., 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.
Scopus1 Europe PMC12023 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.
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.
Scopus42023 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.
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.
Scopus5 WoS1 Europe PMC52023 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.
Scopus2 Europe PMC12023 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.
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, 21 pages.
Europe PMC12023 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.
Scopus2 Europe PMC32023 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.
Scopus5 WoS1 Europe PMC52023 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.
Scopus4 WoS1 Europe PMC42022 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.
Scopus32 WoS12 Europe PMC282022 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.
Scopus7 WoS1 Europe PMC22022 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.
Scopus7 WoS3 Europe PMC22022 Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2022). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.
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.
Scopus16 WoS5 Europe PMC62022 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.
Scopus15 WoS9 Europe PMC62022 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.
Scopus10 WoS3 Europe PMC72022 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.
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.
Scopus4 WoS3 Europe PMC32022 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.
Scopus29 WoS19 Europe PMC122021 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.
Scopus4 WoS4 Europe PMC22021 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.
Scopus7 WoS6 Europe PMC112021 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.
Scopus33 WoS13 Europe PMC112021 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.
Scopus11 WoS5 Europe PMC42021 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.
Europe PMC22021 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.
Scopus8 WoS6 Europe PMC52021 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.
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.
Scopus13 WoS7 Europe PMC102021 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.
Scopus8 WoS6 Europe PMC52021 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.
Scopus24 WoS14 Europe PMC172021 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.
Scopus76 WoS52 Europe PMC382021 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.
Scopus73 WoS54 Europe PMC432021 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.
Scopus408 WoS346 Europe PMC3182021 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.
Scopus18 WoS10 Europe PMC142021 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.
Scopus16 WoS5 Europe PMC32021 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.
Scopus12 WoS8 Europe PMC82020 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.
Scopus54 WoS40 Europe PMC382020 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.
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.
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.
Scopus7 WoS5 Europe PMC42020 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.
Scopus13 WoS11 Europe PMC82020 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.
Scopus54 WoS42 Europe PMC432020 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.
Scopus7 WoS6 Europe PMC62020 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.
Scopus61 WoS52 Europe PMC462020 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.
Scopus13 WoS5 Europe PMC82020 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.
Scopus54 WoS21 Europe PMC212019 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.
WoS9 Europe PMC72019 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.
Scopus31 WoS24 Europe PMC152019 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.
Scopus18 WoS15 Europe PMC162019 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.
Scopus10 WoS8 Europe PMC72019 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.
Scopus115 WoS86 Europe PMC652019 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.
Scopus18 WoS15 Europe PMC142019 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.
Scopus3 WoS32019 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.
Scopus15 WoS16 Europe PMC122019 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.
Scopus31 WoS24 Europe PMC152018 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.
Scopus12 WoS7 Europe PMC72018 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.
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.
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.
Scopus16 WoS13 Europe PMC122018 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.
Scopus54 WoS42 Europe PMC412018 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.
Scopus26 WoS21 Europe PMC202018 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.
Scopus18 WoS15 Europe PMC102018 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.
Scopus100 WoS89 Europe PMC692018 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.
Scopus39 WoS33 Europe PMC322018 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.
Scopus263 WoS146 Europe PMC1792018 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.
Scopus22 WoS19 Europe PMC122018 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.
Scopus154 WoS127 Europe PMC1252018 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.
Scopus760 WoS547 Europe PMC5622018 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.
Scopus171 WoS149 Europe PMC1262017 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.
Scopus193 WoS152 Europe PMC1052017 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.
Scopus211 WoS174 Europe PMC1662017 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.
Scopus114 WoS100 Europe PMC862017 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.
Scopus46 WoS35 Europe PMC362017 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.
Scopus32 WoS23 Europe PMC172017 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.
Scopus18 WoS17 Europe PMC162017 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.
Scopus38 WoS34 Europe PMC302017 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.
Scopus60 WoS49 Europe PMC442017 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.
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.
Europe PMC12017 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.
Scopus169 WoS137 Europe PMC1262017 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.
Scopus16 WoS12 Europe PMC122017 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.
WoS15 Europe PMC92016 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.
Scopus166 Europe PMC1332016 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.
Scopus1046 WoS810 Europe PMC7482016 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.
Scopus633 WoS516 Europe PMC4372016 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.
Scopus2765 WoS2203 Europe PMC18452016 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.
Scopus260 WoS210 Europe PMC1892016 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.
Scopus166 Europe PMC1212016 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.
Scopus49 WoS43 Europe PMC352016 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.
Scopus21 WoS16 Europe PMC142016 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.
Scopus103 WoS88 Europe PMC662016 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.
Scopus52 WoS45 Europe PMC412016 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.
Scopus62 WoS56 Europe PMC412016 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.
Scopus61 WoS50 Europe PMC362016 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.
Scopus36 WoS28 Europe PMC242015 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.
Scopus59 WoS52 Europe PMC402015 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.
Scopus76 WoS92 Europe PMC572015 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.
Scopus606 WoS549 Europe PMC4552015 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.
Scopus69 WoS65 Europe PMC572015 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.
Scopus25 WoS21 Europe PMC152015 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.
Scopus43 WoS39 Europe PMC252014 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.
WoS13 Europe PMC132014 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.
Scopus4 WoS42014 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.
Scopus96 WoS85 Europe PMC692014 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.
Scopus70 WoS56 Europe PMC572014 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.
Scopus242 WoS232 Europe PMC1742014 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.
Scopus79 WoS70 Europe PMC552014 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.
Scopus12 WoS10 Europe PMC112014 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.
Scopus5 WoS52014 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.
Scopus30 WoS25 Europe PMC192014 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.
Scopus372 WoS323 Europe PMC3072014 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.
Scopus30 WoS24 Europe PMC212014 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.
Scopus63 WoS59 Europe PMC502014 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.
Scopus561 WoS474 Europe PMC3752013 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.
Scopus665 WoS585 Europe PMC4852013 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.
Scopus181 WoS147 Europe PMC1052013 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.
Scopus21 WoS222013 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.
Scopus3100 WoS2541 Europe PMC22892013 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.
Scopus47 WoS42 Europe PMC342013 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.
Scopus114 WoS102 Europe PMC802013 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.
Scopus672 WoS581 Europe PMC4662013 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.
Scopus166 WoS148 Europe PMC1242013 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.
Scopus96 WoS89 Europe PMC652013 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.
Scopus60 WoS51 Europe PMC402013 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.
Scopus283 WoS241 Europe PMC2172013 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.
Scopus212 WoS148 Europe PMC572013 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.
Scopus83 WoS72 Europe PMC542013 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.
Scopus16 WoS15 Europe PMC112013 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.
Scopus32 Europe PMC162012 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.
Scopus122 WoS115 Europe PMC892012 Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782-790.
Scopus7610 WoS6558 Europe PMC54482012 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.
Scopus70 WoS62 Europe PMC532012 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.
Scopus593 WoS556 Europe PMC4102012 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.
Scopus519 WoS400 Europe PMC1682012 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.
Scopus264 WoS243 Europe PMC1872012 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.
Scopus45 WoS30 Europe PMC252012 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.
Scopus140 WoS121 Europe PMC912012 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.
Scopus512 WoS477 Europe PMC4072012 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.
Scopus40 WoS35 Europe PMC322012 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.
Scopus191 WoS173 Europe PMC1082012 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.
Scopus86 WoS77 Europe PMC582012 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.
Scopus30 WoS29 Europe PMC172012 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.
Scopus111 WoS100 Europe PMC852011 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.
Scopus350 WoS316 Europe PMC2322011 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.
Scopus362 WoS313 Europe PMC1902011 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.
Scopus77 WoS69 Europe PMC472011 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.
Scopus342 WoS301 Europe PMC2542011 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.
Scopus1793 WoS1628 Europe PMC13222011 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.
Scopus205 WoS191 Europe PMC1632011 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.
Scopus7 WoS5 Europe PMC42011 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.
Scopus23 WoS20 Europe PMC142011 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.
Scopus3772010 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.
Scopus140 WoS133 Europe PMC952010 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.
Scopus1 WoS22010 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.
Scopus46 WoS44 Europe PMC362010 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.
Scopus29 WoS26 Europe PMC152010 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.
Scopus1 WoS12009 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.
Scopus1876 WoS1383 Europe PMC13522009 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.
Scopus177 WoS151 Europe PMC822009 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.
Scopus1778 WoS1583 Europe PMC11842009 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.
Scopus113 WoS99 Europe PMC762008 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.
Scopus178 WoS156 Europe PMC1372008 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.
Scopus137 WoS128 Europe PMC1052007 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.
Scopus504 WoS474 Europe PMC4012007 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.
Scopus175 WoS145 Europe PMC1122007 Smith, S., Jenkinson, M., Beckmann, C., Miller, K., & Woolrich, M. (2007). Meaningful design and contrast estimability in FMRI. NeuroImage, 34(1), 127-136.
Scopus50 WoS47 Europe PMC402007 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.
Scopus98 WoS91 Europe PMC712007 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.
Scopus647 WoS610 Europe PMC5262007 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.
Scopus53 WoS51 Europe PMC392007 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.
Scopus18 WoS142006 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.
Scopus78 WoS74 Europe PMC462006 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.
Scopus53 WoS53 Europe PMC432006 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.
Scopus50 WoS47 Europe PMC372006 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.
Scopus5324 WoS4916 Europe PMC41352005 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.
Scopus155 WoS142 Europe PMC1112005 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.
Scopus135 WoS112 Europe PMC592005 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.
Scopus83 WoS78 Europe PMC582004 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.
Scopus202 WoS190 Europe PMC912004 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.
Scopus5 WoS52004 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.
Scopus3 WoS22004 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.
Scopus56 WoS47 Europe PMC362004 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.
Scopus1302 WoS1207 Europe PMC10562003 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.
Scopus22 WoS23 Europe PMC142003 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.
Scopus127 WoS119 Europe PMC952003 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.
Scopus1 WoS12003 Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003). General multilevel linear modeling for group analysis in FMRI. NeuroImage, 20(2), 1052-1063.
Scopus1211 WoS1160 Europe PMC9702003 Jenkinson, M. (2003). Fast, automated, N-dimensional phase-unwrapping algorithm. Magnetic Resonance in Medicine, 49(1), 193-197.
Scopus579 WoS540 Europe PMC4302003 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.
Scopus42 WoS36 Europe PMC322003 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.
Scopus2415 WoS2210 Europe PMC18082003 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.
2002 Wilson, J. (2002). Fast, Fully Automated Global and Local Magnetic Field Optimization for fMRI of the Human Brain. NeuroImage, 17(2), 967-976.
2002 Jenkinson, M. (2002). Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images. NeuroImage, 17(2), 825-841.
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.
Scopus83 WoS79 Europe PMC682002 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.
Scopus132 WoS131 Europe PMC1082002 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.
Scopus1723 WoS1610 Europe PMC12962002 Jenkinson, M., & Brady, M. (2002). A saliency-based hierarchy for local symmetries. Image and Vision Computing, 20(2), 85-101.
Scopus5 WoS52002 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.
Scopus92 WoS75 Europe PMC692002 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.
Scopus8774 WoS7984 Europe PMC68562001 Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5(2), 143-156.
Scopus5397 WoS5013 Europe PMC41282001 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.
Scopus443 WoS406 Europe PMC3202000 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.
Scopus270 WoS246 Europe PMC1732000 Jenkinson, M., & Smith, S. M. (2000). Global optimisation for robust affine registration. NeuroImage, 11(5 PART II), S479.
Scopus42000 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.
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.
Scopus255 WoS228 Europe PMC1601997 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.
WoS69 Europe PMC351994 DANBURY, R., & JENKINSON, M. (1994). SYNCHRONIZED SERVOMECHANISMS - THE SCALAR-FIELD APPROACH. IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 141(4), 261-273.
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.
- Rorden, C., Webster, M., Drake, C., Jenkinson, M., Clayden, J. D., Li, N., & Hanayik, T. (n.d.). niimath and fslmaths: replication as a method to enhance popular neuroimaging tools. Aperture Neuro, 4.
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Books
Year Citation 2023 ESOC 2023 Abstract Book (2023). (Vol. 8). SAGE Publications.
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.
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.
Scopus22022 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.
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.
Scopus20 WoS82012 Jenkinson, M. (2012). Registration, atlases and cortical flattening. In Functional Magnetic Resonance Imaging: An Introduction to Methods (pp. 271-295). Oxford University PressOxford.
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.
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.
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.
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. In Accepted for publication in Alzheimer's & Dementia Journal in June 2024 (pp. 2 pages). Amsterdam, The Netherlands: Alzheimer's Association. 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.
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.
Scopus42022 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.
Scopus22022 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.
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.
Scopus22021 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.
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.
Scopus42021 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.
Scopus14 WoS52021 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.
Scopus82021 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.
Scopus10 WoS32020 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.
Scopus122020 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.
Scopus32020 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.
Scopus12 WoS52019 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.
Scopus18 WoS112018 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.
WoS12016 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.
Scopus7 WoS42016 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.
Scopus1 WoS12015 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.
WoS12013 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.
Scopus19 Europe PMC32013 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.
Scopus130 WoS107 Europe PMC232013 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.
Scopus3 WoS22012 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.
Scopus41 WoS30 Europe PMC32012 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.
Scopus8 WoS52012 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.
WoS12012 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.
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.
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.
Scopus38 WoS33 Europe PMC72011 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.
Scopus2 WoS12011 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.
Scopus22 WoS19 Europe PMC22010 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).
Scopus32010 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.
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.
WoS62010 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.
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.
Scopus6 WoS6 Europe PMC32009 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.
Scopus8 WoS6 Europe PMC12008 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.
Scopus66 WoS53 Europe PMC82008 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.
Scopus6 WoS32008 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.
WoS12007 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). Kerkrade, NETHERLANDS: SPRINGER-VERLAG BERLIN.
Scopus14 WoS5 Europe PMC32006 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.
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.
Scopus8 WoS6 Europe PMC12005 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.
Scopus31 WoS25 Europe PMC92004 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.
Scopus50 WoS392004 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. IEEE.
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.
Scopus10402 WoS9355 Europe PMC75242003 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.
WoS12003 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.
Scopus1 WoS12001 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.
WoS12001 Jenkinson, M. (2001). Improved unwarping of EPI images using regularised B0 maps. In NEUROIMAGE Vol. 13 (pp. S165). ACADEMIC PRESS INC.
WoS202001 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.
WoS62001 Bannister, P. R., Beckmann, C., & Jenkinson, M. (2001). Exploratory motion analysis in fMRI using ICA. In NEUROIMAGE Vol. 13 (pp. S69). ACADEMIC PRESS INC.
WoS32001 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.
WoS381999 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.
Scopus24 WoS181997 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.
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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.
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 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. 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.
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.
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. Stockholm, SWEDEN: SAGE PUBLICATIONS LTD. -
Preprint
Year Citation 2024 Whitbread, L., Lau, S., Palmer, L. J., & Jenkinson, M. (2024). Deep-diffeomorphic networks for conditional brain templates.
- 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
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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 Co-Supervisor “Utility of Inflammatory Biomarkers to Predict Brainstem Imaging Changes in Parkinson’s Disease and TBI” Doctor of Philosophy Doctorate Full Time Mr Angus McNamara 2024 Principal Supervisor Integrating Multi-Modal MRI Data for Predictive Modeling of Disease Progression in Alzheimers Doctor of Philosophy Doctorate Full Time Mrs Lokesha Rasanjalee De Seram Thennakoon Mudiyanselage 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 2021 Co-Supervisor The Role of the Substantia Nigra in predicting longitudinal non-motor changes in Parkinson's Disease Doctor of Philosophy Doctorate Full Time Mr Benjamin Paul Ellul 2020 Co-Supervisor Prognostic prediction of large-vessel stroke using machine learning methods Doctor of Philosophy Doctorate Full Time Miss Minyan Zeng -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2020 - 2024 Co-Supervisor Weakly-supervised learning in Computer Vision and Medical Imaging Doctor of Philosophy Doctorate Full Time Mr Fengbei Liu
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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
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