Prof Mark Jenkinson
Professor of Neuroimaging
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Medical image analysis methodology - particularly applied to MRI brain imaging data. Development of deep learning, statistics and model-based image analysis techniques. Particular specialties include: Segmentation of Anatomy and Pathology; Big Data Analysis; Normative Modelling; Registration and Motion Correction of MRI Brain Images; Modelling and Reduction of MR Artefacts.
| Date | Position | Institution name |
|---|---|---|
| 2019 - ongoing | Professor of Neuroimaging | University of Adelaide |
| 2014 - ongoing | Professor of Neuroimaging | University of Oxford |
| 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) |
| Year | Citation |
|---|---|
| 2025 | Sghirripa, S., Bhalerao, G., Griffanti, L., Gillis, G., Mackay, C., Voets, N., . . . Jenkinson, M. (2025). Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI. Human Brain Mapping, 46(5), e70200-1-e70200-20. Scopus2 WoS2 Europe PMC1 |
| 2025 | Warrington, S., Torchi, A., Mougin, O., Campbell, J., Ntata, A., Craig, M., . . . Sotiropoulos, S. N. (2025). A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation. Scientific data, 12(1), 609. Scopus4 WoS4 Europe PMC4 |
| 2025 | Whitbread, L., Laurenz, S., Palmer, L. J., & Jenkinson, M. (2025). Deep-Diffeomorphic Networks for Conditional Brain Templates. Human Brain Mapping, 46(8), e70229-1-e70229-18. |
| 2025 | Sundaresan, V., Zamboni, G., Dineen, R. A., Auer, D. P., Sotiropoulos, S. N., Sprigg, N., . . . Griffanti, L. (2025). Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI. European Radiology Experimental, 9(1), 5-1-5-8. Scopus2 WoS1 Europe PMC2 |
| 2025 | McNamara, A., Ellul, B. P., Baetu, I., Jenkinson, M., Lau, S., & Collins-Praino, L. (2025). Utility of Baseline Pathological, Neuroimaging and Clinical Markers for Prognosis in Early Parkinson's Disease.. J Geriatr Psychiatry Neurol, 8919887251397641. |
| 2025 | Ellul, B., McNamara, A., Laurenz, S., Baetu, I., Jenkinson, M., & Collins-Praino, L. E. (2025). Predicting Cognition and Affective Changes in Newly Diagnosed Parkinson’s Disease Through Longitudinal Data-Driven Clustering. Journal of Geriatric Psychiatry and Neurology, 17 pages. Scopus1 WoS1 Europe PMC1 |
| 2024 | Zamboni, G., Mattioli, I., Arya, Z., Tondelli, M., Vinceti, G., Chiari, A., . . . Grafman, J. (2024). Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia. Brain Imaging and Behavior, 18(5), 1226-1238. WoS1 Europe PMC2 |
| 2024 | Wyburd, M. K., Consortium, I., Jenkinson, M., & Namburete, A. (2024). Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 64(S1), 18. |
| 2024 | Boyd, C., Brown, G. C., Kleinig, T. J., Mayer, W., Dawson, J., Jenkinson, M., & Bezak, E. (2024). Hyperparameter selection for dataset-constrained semantic segmentation: Practical machine learning optimization. Journal of Applied Clinical Medical Physics, 25(12, article no. e14542), 1-14. Scopus4 WoS3 Europe PMC1 |
| 2024 | Wyburd, M. K., Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024). Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Medical Image Analysis, 97, 103222. Scopus2 WoS2 |
| 2024 | Zeng, M., Smith, L., Bird, A., Trinh, V. Q. -N., Bacchi, S., Harvey, J., . . . Palmer, L. J. (2024). Predictions for functional outcome and mortality in acute ischaemic stroke following successful endovascular thrombectomy.. BMJ Neurol Open, 6(1), e000707. Scopus3 WoS3 Europe PMC2 |
| 2024 | Rorden, C., Webster, M., Drake, C., Jenkinson, M., Clayden, J. D., Li, N., & Hanayik, T. (2024). niimath and fslmaths: replication as a method to enhance popular neuroimaging tools.. Aperture neuro, 4. Europe PMC4 |
| 2024 | Waldman, A. D., Catania, C., Pisa, M., Jenkinson, M., Lenardo, M. J., & DeLuca, G. C. (2024). The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study.. Acta neuropathologica, 147(1), 51. Scopus7 WoS7 Europe PMC7 |
| 2023 | Evangelisti, S., Boessenkool, S., Pflanz, C. P., Basting, R., Betts, J. F., Jenkinson, M., . . . Douaud, G. (2023). Subthalamic nucleus shows opposite functional connectivity pattern in Huntington’s and Parkinson’s disease. Brain Communications, 5(6), 15 pages. Scopus7 WoS7 Europe PMC8 |
| 2023 | Zamboni, G., Mattioli, I., Arya, Z., Tondelli, M., Vinceti, G., Chiari, A., . . . Grafman, J. (2023). Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia.. Res Sq. |
| 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. Scopus28 WoS30 Europe PMC27 |
| 2023 | Kenyon, G., Lau, S., Chappell, M. A., & Jenkinson, M. (2023). Segmentation method for cerebral blood vessels from MRA using hysteresis. |
| 2023 | Wartolowska, K., Jenkinson, M., Andersson, J., Wordsworth, P., & Tracey, I. (2023). Imaging the effects of tumour necrosis factor inhibition on pain processing in severe rheumatoid arthritis. |
| 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. Scopus10 WoS11 Europe PMC12 |
| 2023 | de Zoete, R. M. J., Berryman, C. F., Nijs, J., Walls, A., & Jenkinson, M. (2023). Differential Structural Brain Changes Between Responders and Nonresponders After Physical Exercise Therapy for Chronic Nonspecific Neck Pain. Clinical Journal of Pain, 39(6), 270-277. Scopus6 WoS5 Europe PMC5 |
| 2023 | Warrington, S., Ntata, A., Mougin, O., Campbell, J., Torchi, A., Craig, M., . . . Sotiropoulos, S. N. (2023). A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches. |
| 2023 | Sundaresan, V., Arthofer, C., Zamboni, G., Murchison, A. G., Dineen, R. A., Rothwell, P. M., . . . Jenkinson, M. (2023). Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. Frontiers in Neuroinformatics, 17, 1204186. Scopus10 WoS8 Europe PMC11 |
| 2023 | Gentile, G., Jenkinson, M., Griffanti, L., Luchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2023). BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.. Hum Brain Mapp, 44(14), 4893-4913. Scopus8 WoS7 Europe PMC10 |
| 2023 | Huszar, I. N., Pallebage-Gamarallage, M., Bangerter-Christensen, S., Brooks, H., Fitzgibbon, S., Foxley, S., . . . Jenkinson, M. (2023). Tensor image registration library: Deformable registration of stand-alone histology images to whole-brain post-mortem MRI data.. Neuroimage, 265, 18 pages. Scopus15 WoS13 Europe PMC16 |
| 2023 | Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2023). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria. NeuroImage, 268, 13 pages. Scopus20 WoS18 Europe PMC28 |
| 2023 | Warrington, S., Ntata, A., Mougin, O., Campbell, J., Torchi, A., Craig, M., . . . Sotiropoulos, S. N. (2023). A resource for development and comparison of multimodal brain 3 T MRI harmonisation approaches. Imaging Neuroscience, 1, 1-27. Scopus5 WoS4 Europe PMC3 |
| 2022 | Edwards, A. D., Rueckert, D., Smith, S. M., Abo Seada, S., Alansary, A., Almalbis, J., . . . Hajnal, J. V. (2022). The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience, 16, 886772. Scopus108 WoS95 Europe PMC108 |
| 2022 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2022). STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation. Medical Image Analysis, 81, 15 pages. Scopus20 WoS17 Europe PMC8 |
| 2022 | Zeng, M., Oakden-Rayner, L., Bird, A., Smith, L., Wu, Z., Scroop, R., . . . Palmer, L. J. (2022). Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis. Frontiers in Neurology, 13, 14 pages. Scopus13 WoS14 Europe PMC10 |
| 2022 | 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. Scopus45 WoS37 Europe PMC30 |
| 2022 | Hesse, L. S., Aliasi, M., Moser, F., Haak, M. C., Xie, W., Jenkinson, M., & Namburete, A. I. L. (2022). Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning. NeuroImage, 254, 19 pages. Scopus32 WoS27 Europe PMC22 |
| 2022 | Balboni, E., Nocetti, L., Carbone, C., Dinsdale, N., Genovese, M., Guidi, G., . . . Zamboni, G. (2022). The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects. Human Brain Mapping, 43(11), 3427-3438. Scopus21 WoS18 Europe PMC11 |
| 2022 | Milton, A. G., Lau, S., Kremer, K. L., Rao, S. R., MAS, E., Snel, M. F., . . . Koblar, S. A. (2022). FAST-IT: Find A Simple Test - In TIA (Transient Ischaemic Attack) - a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass-spectrometry, neuroimaging and machine learning - study protocol. BMJ Open, 12(4), 1-9. Scopus1 WoS1 Europe PMC1 |
| 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. Scopus7 WoS7 Europe PMC4 |
| 2022 | Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Jurynczyk, M., Leite, M. I., . . . Palace, J. (2022). Contrasting the brain imaging features of MOG-antibody disease, with AQP4-antibody NMOSD and multiple sclerosis. Multiple Sclerosis Journal, 28(2), 217-227. Scopus50 WoS48 Europe PMC36 |
| 2021 | Juryńczyk, M., Klimiec-Moskal, E., Kong, Y., Hurley, S., Messina, S., Yeo, T., . . . Palace, J. (2021). Elucidating distinct clinico-radiologic signatures in the borderland between neuromyelitis optica and multiple sclerosis. Journal of Neurology, 269(1), 269-279. Scopus10 WoS10 Europe PMC5 |
| 2021 | Bordin, V., Bertani, I., Mattioli, I., Sundaresan, V., McCarthy, P., Suri, S., . . . Griffanti, L. (2021). Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets. NeuroImage, 237, 118189. Scopus12 WoS11 Europe PMC14 |
| 2021 | Sundaresan, V., Zamboni, G., Rothwell, P. M., Jenkinson, M., & Griffanti, L. (2021). Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.. Med Image Anal, 73, 1-17. Scopus60 WoS48 Europe PMC38 |
| 2021 | Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.. Med Image Anal, 74, 12 pages. Scopus21 WoS19 Europe PMC14 |
| 2021 | Vass, L., Moore, M. J., Hanayik, T., Mair, G., Pendlebury, S. T., Demeyere, N., & Jenkinson, M. (2021). A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients. Neuroinformatics, 20(3), 12 pages. WoS1 Europe PMC2 |
| 2021 | Torso, M., Ridgway, G. R., Jenkinson, M., & Chance, S. (2021). Intracortical diffusion tensor imaging signature of microstructural changes in frontotemporal lobar degeneration. Alzheimer's Research and Therapy, 13(1), 15 pages. Scopus12 WoS13 Europe PMC9 |
| 2021 | Sundaresan, V., Zamboni, G., Dinsdale, N., Rothwell, P., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. |
| 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. Scopus17 WoS17 Europe PMC17 |
| 2021 | Vrenken, H., Jenkinson, M., Pham, D. L., Guttmann, C. R. G., Pareto, D., Paardekooper, M., . . . Barkhof, F. (2021). Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence. Neurology, 97(21), 989-999. Scopus11 WoS9 Europe PMC9 |
| 2021 | Torso, M., Bozzali, M., Zamboni, G., Jenkinson, M., & Chance, S. A. (2021). Detection of Alzheimer's Disease using cortical diffusion tensor imaging. Human Brain Mapping, 42(4), 967-977. Scopus28 WoS29 Europe PMC25 |
| 2021 | Dinsdale, N. K., Bluemke, E., Smith, S. M., Arya, Z., Vidaurre, D., Jenkinson, M., & Namburete, A. I. L. (2021). Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage, 224, 1-16. Scopus106 WoS93 Europe PMC72 |
| 2021 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2021). Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage, 228, 1-16. Scopus124 WoS110 Europe PMC92 |
| 2021 | Raman, B., Cassar, M. P., Tunnicliffe, E. M., Filippini, N., Griffanti, L., Alfaro-Almagro, F., . . . Neubauer, S. (2021). Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge. EClinicalMedicine, 31, 1-13. Scopus464 WoS430 Europe PMC419 |
| 2021 | Hordacre, B., Lotze, M., Jenkinson, M., Lazari, A., Barras, C. D., Boyd, L., & Hillier, S. (2021). Fronto-parietal involvement in chronic stroke motor performance when corticospinal tract integrity is compromised. NeuroImage: Clinical, 29, 1-11. Scopus22 WoS20 Europe PMC17 |
| 2021 | Boyd, C., Brown, G., Kleinig, T., Dawson, J., McDonnell, M. D., Jenkinson, M., & Bezak, E. (2021). Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications. Diagnostics, 11(3), 1-23. Scopus24 WoS18 Europe PMC10 |
| 2021 | Torso, M., Ahmed, S., Butler, C., Zamboni, G., Jenkinson, M., & Chance, S. (2021). Cortical diffusivity investigation in posterior cortical atrophy and typical Alzheimer’s disease. Journal of Neurology, 268(1), 227-239. Scopus15 WoS13 Europe PMC14 |
| 2020 | Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., . . . Andersson, J. (2020). The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage, 223, 117303. Scopus94 WoS89 Europe PMC112 |
| 2020 | Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Jurynczyk, M., Leite, M. I., . . . Palace, J. (2020). Contrasting the brain imaging features of MOG-Antibody disease, with AQP4-Antibody NMOSD and Multiple Sclerosis. |
| 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 WoS6 Europe PMC5 |
| 2020 | Wang, C., Zhang, Y., Du, J., Huszár, I. N., Liu, S., Chen, Y., . . . Yang, Q. (2020). Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease. Journal of Magnetic Resonance Imaging, 52(2), 534-541. Scopus17 WoS16 Europe PMC18 |
| 2020 | Eichert, N., Robinson, E. C., Bryant, K. L., Jbabdi, S., Jenkinson, M., Li, L., . . . Mars, R. B. (2020). Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe.. Elife, 9, 1-30. Scopus74 WoS68 Europe PMC76 |
| 2020 | Keltner, J. R., Tong, A., Visser, E., Jenkinson, M., Connolly, C. G., Dasca, A., . . . Ellis, R. J. (2020). Evidence for a novel subcortical mechanism for posterior cingulate cortex atrophy in HIV peripheral neuropathy. Journal of NeuroVirology, 26(4), 530-543. Scopus7 WoS7 Europe PMC6 |
| 2020 | Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizabal, C. L., . . . Wright, C. B. (2020). Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. Stroke, 51(7), 2111-2121. Scopus86 WoS84 Europe PMC85 |
| 2020 | Torso, M., Bozzali, M., Cercignani, M., Jenkinson, M., & Chance, S. A. (2020). Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes. Scientific Reports, 10(1), 11 pages. Scopus19 WoS13 Europe PMC16 |
| 2020 | Pedersen, M., Verspoor, K., Jenkinson, M., Law, M., Abbott, D. F., & Jackson, G. D. (2020). Artificial intelligence for clinical decision support in neurology.. Brain Commun, 2(2), fcaa096. Scopus74 WoS47 Europe PMC39 |
| 2019 | Walton, E., Hibar, D., Yilmaz, Z., Jahanshad, N., Cheung, J., Batury, V. -L., . . . Bulik, C. M. (2019). Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa. MOLECULAR NEUROBIOLOGY, 56(7), 5146-5156. WoS16 Europe PMC15 |
| 2019 | Sundaresan, V., Zamboni, G., Le Heron, C., Rothwell, P. M., Husain, M., Battaglini, M., . . . Griffanti, L. (2019). Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding. NeuroImage, 202, 18 pages. Scopus36 WoS33 Europe PMC28 |
| 2019 | McKavanagh, R., Torso, M., Jenkinson, M., Kolasinski, J., Stagg, C. J., Esiri, M. M., . . . Chance, S. A. (2019). Relating diffusion tensor imaging measurements to microstructural quantities in the cerebral cortex in multiple sclerosis. Human Brain Mapping, 40(15), 4417-4431. Scopus22 WoS23 Europe PMC25 |
| 2019 | Sundaresan, V., Griffanti, L., Kindalova, P., Alfaro-Almagro, F., Zamboni, G., Rothwell, P. M., . . . Jenkinson, M. (2019). Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference. NeuroImage, 185, 434-445. Scopus12 WoS10 Europe PMC9 |
| 2019 | Nobis, L., Manohar, S. G., Smith, S. M., Alfaro-Almagro, F., Jenkinson, M., Mackay, C. E., & Husain, M. (2019). Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank. NeuroImage: Clinical, 23, 101904. Scopus159 WoS150 Europe PMC141 |
| 2019 | Mollink, J., Hiemstra, M., Miller, K. L., Huszar, I. N., Jenkinson, M., Raaphorst, J., . . . van Cappellen van Walsum, A. M. (2019). White matter changes in the perforant path area in patients with amyotrophic lateral sclerosis. Neuropathology and Applied Neurobiology, 45(6), 570-585. Scopus26 WoS25 Europe PMC27 |
| 2019 | Saillant, A., Armstrong, I., Shah, V., Zuehlsdorff, S., Hayden, C., Declerck, J., . . . Chappell, M. A. (2019). Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework. IEEE Transactions on Medical Imaging, 38(5), 1216-1226. Scopus5 WoS5 Europe PMC3 |
| 2019 | Baxter, L., Fitzgibbon, S., Moultrie, F., Goksan, S., Jenkinson, M., Smith, S., . . . Slater, R. (2019). Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants. NeuroImage, 186, 286-300. Scopus18 WoS17 Europe PMC18 |
| 2019 | Chye, Y., Lorenzetti, V., Suo, C., Batalla, A., Cousijn, J., Goudriaan, A. E., . . . Solowij, N. (2019). Alteration to hippocampal volume and shape confined to cannabis dependence: a multi-site study. Addiction Biology, 24(4), 822-834. Scopus38 WoS36 Europe PMC30 |
| 2018 | Schmid, A. B., Campbell, J., Hurley, S. A., Jbabdi, S., Andersson, J. L., Jenkinson, M., . . . Clare, S. (2018). Feasibility of diffusion tensor and morphologic imaging of peripheral nerves at ultra-high field strength. Investigative Radiology, 53(12), 705-713. Scopus16 WoS10 Europe PMC10 |
| 2018 | Sundaresan, V., Zamboni, G., Le Heron, C., Rothwell, P., Husain, M., Battaglini, M., . . . Griffanti, L. (2018). Automated lesion segmentation with BIANCA: impact of population-level features, classification algorithm and locally adaptive thresholding. |
| 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. Scopus19 WoS19 Europe PMC19 |
| 2018 | Bozek, J., Makropoulos, A., Schuh, A., Fitzgibbon, S., Wright, R., Glasser, M. F., . . . Robinson, E. C. (2018). Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage, 179, 11-29. Scopus71 WoS67 Europe PMC83 |
| 2018 | Zsoldos, E., Filippini, N., Mahmood, A., Mackay, C. E., Singh-Manoux, A., Kivimäki, M., . . . Ebmeier, K. P. (2018). Allostatic load as a predictor of grey matter volume and white matter integrity in old age: the Whitehall II MRI study. Scientific Reports, 8(1), 6411. Scopus35 WoS33 Europe PMC34 |
| 2018 | Connally, E. L., Ward, D., Pliatsikas, C., Finnegan, S., Jenkinson, M., Boyles, R., & Watkins, K. E. (2018). Separation of trait and state in stuttering. Human Brain Mapping, 39(8), 3109-3126. Scopus24 WoS23 Europe PMC22 |
| 2018 | Williamson, W., Lewandowski, A. J., Forkert, N. D., Griffanti, L., Okell, T. W., Betts, J., . . . Leeson, P. (2018). Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults. JAMA - Journal of the American Medical Association, 320(7), 665-673. Scopus120 WoS119 Europe PMC117 |
| 2018 | Pallebage-Gamarallage, M., Foxley, S., Menke, R. A. L., Huszar, I. N., Jenkinson, M., Tendler, B. C., . . . Ansorge, O. (2018). Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology. BMC Neuroscience, 19(1), 11. Scopus47 WoS46 Europe PMC46 |
| 2018 | Makropoulos, A., Robinson, E. C., Schuh, A., Wright, R., Fitzgibbon, S., Bozek, J., . . . Rueckert, D. (2018). The developing human connectome project: a minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage, 173, 88-112. Scopus377 WoS355 Europe PMC344 |
| 2018 | Battaglini, M., Jenkinson, M., & De Stefano, N. (2018). SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI. Human Brain Mapping, 39(3), 1063-1077. Scopus28 WoS26 Europe PMC23 |
| 2018 | Robinson, E. C., Garcia, K., Glasser, M. F., Chen, Z., Coalson, T. S., Makropoulos, A., . . . Rueckert, D. (2018). Multimodal surface matching with higher-order smoothness constraints. NeuroImage, 167, 453-465. Scopus202 WoS204 Europe PMC254 |
| 2018 | Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L. R., Griffanti, L., Douaud, G., . . . Smith, S. M. (2018). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. NeuroImage, 166, 400-424. Scopus1059 WoS1027 Europe PMC1172 |
| 2018 | Griffanti, L., Jenkinson, M., Suri, S., Zsoldos, E., Mahmood, A., Filippini, N., . . . Zamboni, G. (2018). Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults. NeuroImage, 170, 174-181. Scopus231 WoS228 Europe PMC215 |
| 2017 | Rocca, M. A., Battaglini, M., Benedict, R. H. B., De Stefano, N., Geurts, J. J. G., Henry, R. G., . . . Filippi, M. (2017). Brain MRI atrophy quantification in MS. Neurology, 88(4), 403-413. Scopus218 WoS191 Europe PMC175 |
| 2017 | Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., . . . Jenkinson, M. (2017). Novel genetic loci associated with hippocampal volume. Nature Communications, 8(1), 13624. Scopus232 WoS220 Europe PMC227 |
| 2017 | Mollink, J., Kleinnijenhuis, M., Cappellen van Walsum, A. M. V., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., . . . Miller, K. L. (2017). Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. NeuroImage, 157, 561-574. Scopus140 WoS134 Europe PMC133 |
| 2017 | Eippert, F., Kong, Y., Jenkinson, M., Tracey, I., & Brooks, J. C. W. (2017). Denoising spinal cord fMRI data: approaches to acquisition and analysis. NeuroImage, 154, 255-266. Scopus54 WoS52 Europe PMC55 |
| 2017 | Fabes, J., Matthews, L., Filippini, N., Talbot, K., Jenkinson, M., & Turner, M. R. (2017). Quantitative FLAIR MRI in amyotrophic lateral sclerosis. Academic Radiology, 24(10), 1187-1194. Scopus38 WoS36 Europe PMC32 |
| 2017 | Keltner, J. R., Connolly, C. G., Vaida, F., Jenkinson, M., Fennema-Notestine, C., Archibald, S., . . . Ellis, R. J. (2017). HIV distal neuropathic pain is associated with smaller ventral posterior cingulate cortex. Pain Medicine (United States), 18(3), 428-440. Scopus19 WoS19 Europe PMC17 |
| 2017 | Zamboni, G., Griffanti, L., Jenkinson, M., Mazzucco, S., Li, L., Küker, W., . . . Rothwell, P. M. (2017). White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment after Transient Ischemic Attack and Minor Stroke. Stroke, 48(6), 1539-1547. Scopus41 WoS41 Europe PMC38 |
| 2017 | Graham, M. S., Drobnjak, I., Jenkinson, M., & Zhang, H. (2017). Quantitative assessment of the susceptibility artefact and its interaction with motion in diffusion MRI. PLoS ONE, 12(10), e0185647. Scopus72 WoS65 Europe PMC70 |
| 2017 | Wartolowska, K., Bulte, D., Chappell, M., Jenkinson, M., Okell, T., Webster, M., & Carr, A. (2017). Using arterial spin labelling to investigate spontaneous and evoked ongoing musculoskeletal pain. BioRxiv, 11 pages. |
| 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 PMC4 |
| 2017 | Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., . . . Poldrack, R. A. (2017). BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Computational Biology, 13(3), e1005209. Scopus214 WoS197 Europe PMC213 |
| 2017 | Goksan, S., Hartley, C., Hurley, S. A., Winkler, A. M., Duff, E. P., Jenkinson, M., . . . Slater, R. (2017). Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation. Magnetic Resonance in Medicine, 78(2), 625-631. Scopus18 WoS16 Europe PMC18 |
| 2017 | Harston, G. W. J., Minks, D., Sheerin, F., Payne, S. J., Chappell, M., Jezzard, P., . . . Kennedy, J. (2017). Optimizing image registration and infarct definition in stroke research. ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 4(3), 166-174. WoS16 Europe PMC15 |
| 2016 | Adams, H. H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Rentería, M. E., . . . Satizabal, C. L. (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nature Neuroscience, 19(12), 1569-1582. Scopus179 Europe PMC186 |
| 2016 | Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., . . . Smith, S. M. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19(11), 1523-1536. Scopus1374 WoS1320 Europe PMC1491 |
| 2016 | Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., . . . Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature Neuroscience, 19(9), 1175-1187. Scopus777 WoS724 Europe PMC780 |
| 2016 | Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., . . . Van Essen, D. C. (2016). A multi-modal parcellation of human cerebral cortex. Nature, 536(7615), 171-178. Scopus3484 WoS3272 Europe PMC3432 |
| 2016 | Griffanti, L., Zamboni, G., Khan, A., Li, L., Bonifacio, G., Sundaresan, V., . . . Jenkinson, M. (2016). BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. NeuroImage, 141, 191-205. Scopus330 WoS322 Europe PMC325 |
| 2016 | Franke, B., van Hulzen, K. J. E., Arias-Vasquez, A., Bralten, J., Hoogman, M., Klein, M., . . . Jenkinson, M. (2016). Genetic influences on schizophrenia and subcortical brain volumes: Large-scale proof of concept. Nature Neuroscience, 19(3), 420-431. Scopus171 Europe PMC170 |
| 2016 | Visser, E., Keuken, M. C., Forstmann, B. U., & Jenkinson, M. (2016). Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7 T data at young and old age. NeuroImage, 139, 324-336. Scopus59 WoS53 Europe PMC48 |
| 2016 | Griffanti, L., Wilcock, G. K., Voets, N., Bonifacio, G., MacKay, C. E., Jenkinson, M., & Zamboni, G. (2016). Donepezil Enhances Frontal Functional Connectivity in Alzheimer's Disease: A Pilot Study. Dementia and Geriatric Cognitive Disorders Extra, 6(3), 518-528. Scopus25 WoS22 Europe PMC23 |
| 2016 | Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., . . . Johansen-Berg, H. (2016). Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise. NeuroImage, 131, 162-170. Scopus124 WoS112 Europe PMC113 |
| 2016 | Visser, E., Keuken, M. C., Douaud, G., Gaura, V., Bachoud-Levi, A. C., Remy, P., . . . Jenkinson, M. (2016). Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool. NeuroImage, 125, 479-497. Scopus57 WoS55 Europe PMC57 |
| 2016 | Griffanti, L., Rolinski, M., Szewczyk-Krolikowski, K., Menke, R. A., Filippini, N., Zamboni, G., . . . Mackay, C. E. (2016). Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease. NeuroImage, 124(Pt A), 704-713. Scopus71 WoS67 Europe PMC56 |
| 2016 | Faull, O. K., Jenkinson, M., Ezra, M., & Pattinson, K. T. S. (2016). Conditioned respiratory threat in the subdivisions of the human periaqueductal gray. eLife, 5, 19 pages. Scopus67 WoS61 Europe PMC55 |
| 2016 | Maumet, C., Auer, T., Bowring, A., Chen, G., Das, S., Flandin, G., . . . Nichols, T. E. (2016). Sharing brain mapping statistical results with the neuroimaging data model. Scientific Data, 3(1), 1-15. Scopus44 WoS39 Europe PMC40 |
| 2015 | Faull, O. K., Jenkinson, M., Clare, S., & Pattinson, K. T. S. (2015). Functional subdivision of the human periaqueductal grey in respiratory control using 7tesla fMRI. Neuroimage, 113, 356-364. Scopus63 WoS59 Europe PMC59 |
| 2015 | Goksan, S., Hartley, C., Emery, F., Cockrill, N., Poorun, R., Moultrie, F., . . . Slater, R. (2015). fMRI reveals neural activity overlap between adult and infant pain. eLife, 4(4), 1-13. Scopus84 WoS112 Europe PMC103 |
| 2015 | Hibar, D. P., Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., Jahanshad, N., . . . Czisch, M. (2015). Common genetic variants influence human subcortical brain structures. Nature, 520(7546), 224-229. Scopus669 WoS648 Europe PMC649 |
| 2015 | Harrison, S. J., Woolrich, M. W., Robinson, E. C., Glasser, M. F., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2015). Large-scale probabilistic functional modes from resting state fMRI. Neuroimage, 109, 217-231. Scopus75 WoS75 Europe PMC77 |
| 2015 | Poynton, C. B., Jenkinson, M., Adalsteinsson, E., Sullivan, E. V., Pfefferbaum, A., & Wells, W. (2015). Quantitative susceptibility mapping by inversion of a perturbation field model: Correlation with brain iron in normal aging. IEEE Transactions on Medical Imaging, 34(1), 339-353. Scopus27 WoS24 Europe PMC22 |
| 2015 | Matthews, L., Kolind, S., Brazier, A., Leite, M. I., Brooks, J., Traboulsee, A., . . . Palace, J. (2015). Imaging surrogates of disease activity in neuromyelitis optica allow distinction from multiple sclerosis. PLoS ONE, 10(9), e0137715. Scopus48 WoS47 Europe PMC42 |
| 2014 | Dargan, D., Jenkinson, M. J., & Acton, J. D. (2014). A retrospective review of the Dall-Miles plate for periprosthetic femoral fractures: Twenty-seven cases and a review of the literature. INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 45(12), 1958-1963. WoS15 Europe PMC18 |
| 2014 | Levy, A. A. L., Jenkinson, M., Ingram, W., & Allen, M. (2014). Correcting precipitation feature location in general circulation models. Journal of Geophysical Research, 119(23), 13-369. Scopus4 WoS4 |
| 2014 | Abdollahi, R. O., Kolster, H., Glasser, M. F., Robinson, E. C., Coalson, T. S., Dierker, D., . . . Orban, G. A. (2014). Correspondences between retinotopic areas and myelin maps in human visual cortex. Neuroimage, 99(100), 509-524. Scopus104 WoS93 Europe PMC98 |
| 2014 | Sampaio-Baptista, C., Scholz, J., Jenkinson, M., Thomas, A. G., Filippini, N., Smit, G., . . . Johansen-Berg, H. (2014). Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention. Neuroimage, 96, 158-166. Scopus76 WoS69 Europe PMC76 |
| 2014 | Tziortzi, A. C., Haber, S. N., Searle, G. E., Tsoumpas, C., Long, C. J., Shotbolt, P., . . . Gunn, R. N. (2014). Connectivity-based functional analysis of dopamine release in the striatum using diffusion-weighted MRI and positron emission tomography. Cerebral Cortex, 24(5), 1165-1177. Scopus264 WoS263 Europe PMC248 |
| 2014 | Menke, R. A. L., Szewczyk-Krolikowski, K., Jbabdi, S., Jenkinson, M., Talbot, K., Mackay, C. E., & Hu, M. (2014). Comprehensive morphometry of subcortical grey matter structures in early-stage Parkinson's disease. Human Brain Mapping, 35(4), 1681-1690. Scopus87 WoS86 Europe PMC76 |
| 2014 | Tijssen, R. H. N., Jenkinson, M., Brooks, J. C. W., Jezzard, P., & Miller, K. L. (2014). Optimizing RetroICor and RetroKCor corrections for multi-shot 3D FMRI acquisitions. Neuroimage, 84, 394-405. Scopus14 WoS12 Europe PMC15 |
| 2014 | Levy, A. A. L., Jenkinson, M., Ingram, W., Lambert, F. H., Huntingford, C., & Allen, M. (2014). Increasing the detectability of external influence on precipitation by correcting feature location in GCMs. Journal of Geophysical Research Atmospheres, 119(22), 12-478. Scopus5 WoS5 |
| 2014 | Mennes, M., Jenkinson, M., Valabregue, R., Buitelaar, J. K., Beckmann, C., & Smith, S. (2014). Optimizing full-brain coverage in human brain MRI through population distributions of brain size. NeuroImage, 98, 513-520. Scopus35 WoS32 Europe PMC34 |
| 2014 | Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., . . . Jenkinson, M. (2014). MSM: A new flexible framework for multimodal surface matching. Neuroimage, 100, 414-426. Scopus452 WoS444 Europe PMC512 |
| 2014 | Millington, R. S., Yasuda, C. L., Jindahra, P., Jenkinson, M., Barbur, J. L., Kennard, C., . . . Bridge, H. (2014). Quantifying the pattern of optic tract degeneration in human hemianopia. Journal of Neurology, Neurosurgery and Psychiatry, 85(4), 379-386. Scopus34 WoS30 Europe PMC31 |
| 2014 | Filippini, N., Zsoldos, E., Haapakoski, R., Sexton, C. E., Mahmood, A., Allan, C. L., . . . Ebmeier, K. P. (2014). Study protocol: The Whitehall II imaging sub-study. BMC Psychiatry, 14(1), 16 pages. Scopus70 WoS68 Europe PMC74 |
| 2014 | Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., . . . Jenkinson, M. (2014). The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior, 8(2), 153-182. Scopus636 WoS559 Europe PMC565 |
| 2013 | Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., . . . Behrens, T. E. J. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80, 125-143. Scopus734 WoS695 Europe PMC674 |
| 2013 | Matthews, L., Marasco, R., Jenkinson, M., Küker, W., Luppe, S., Leite, M. I., . . . Palace, J. (2013). Distinction of seropositive NMO spectrum disorder and MS brain lesion distribution. Neurology, 80(14), 1330-1337. Scopus195 WoS173 Europe PMC152 |
| 2013 | Levy, A. A. L., Ingram, W., Jenkinson, M., Huntingford, C., Lambert, F. H., & Allen, M. (2013). Can correcting feature location in simulated mean climate improve agreement on projected changes?. Geophysical Research Letters, 40(2), 354-358. Scopus22 WoS25 |
| 2013 | Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., . . . Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, 105-124. Scopus3805 WoS3671 Europe PMC4069 |
| 2013 | Stagg, C. J., Knight, S., Jenkinson, M., Maudsley, A. A., & Turner, M. R. (2013). Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS. Neurology, 80(7), 610-615. Scopus50 WoS47 Europe PMC43 |
| 2013 | Arun, T., Tomassini, V., Sbardella, E., De Ruiter, M. B., Matthews, L., Leite, M. I., . . . Palace, J. (2013). Targeting ASIC1 in primary progressive multiple sclerosis: Evidence of neuroprotection with amiloride. Brain, 136(1), 106-115. Scopus122 WoS107 Europe PMC102 |
| 2013 | Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., . . . Van Essen, D. C. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, 17(12), 666-682. Scopus778 WoS733 Europe PMC710 |
| 2013 | Brooks, J. C. W., Faull, O. K., Pattinson, K. T. S., & Jenkinson, M. (2013). Physiological noise in brainstem fMRI. Frontiers in Human Neuroscience, 7(OCT), 13 pages. Scopus177 WoS167 Europe PMC165 |
| 2013 | Vrenken, H., Jenkinson, M., Horsfield, M. A., Battaglini, M., Van Schijndel, R. A., Rostrup, E., . . . De Stefano, N. (2013). Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis. Journal of Neurology, 260(10), 2458-2471. Scopus100 WoS93 Europe PMC80 |
| 2013 | Zamboni, G., Wilcock, G. K., Douaud, G., Drazich, E., McCulloch, E., Filippini, N., . . . MacKay, C. E. (2013). Resting functional connectivity reveals residual functional activity in Alzheimer's disease. Biological Psychiatry, 74(5), 375-383. Scopus64 WoS59 Europe PMC53 |
| 2013 | Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., . . . Van Essen, D. C. (2013). Human Connectome Project informatics: Quality control, database services, and data visualization. Neuroimage, 80, 202-219. Scopus353 WoS334 Europe PMC366 |
| 2013 | Heinrich, M. P., Jenkinson, M., Brady, M., & Schnabel, J. A. (2013). MRF-Based deformable registration and ventilation estimation of lung CT. IEEE Transactions on Medical Imaging, 32(7), 1239-1248. Scopus261 WoS220 Europe PMC110 |
| 2013 | Zamboni, G., Drazich, E., McCulloch, E., Filippini, N., Mackay, C. E., Jenkinson, M., . . . Wilcock, G. K. (2013). Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment. Cortex, 49(3), 668-678. Scopus85 WoS79 Europe PMC70 |
| 2013 | Zamboni, G., de Jager, C. A., Drazich, E., Douaud, G., Jenkinson, M., Smith, A. D., . . . Wilcock, G. K. (2013). Structural and functional bases of visuospatial associative memory in older adults. Neurobiology of Aging, 34(3), 961-972. Scopus19 WoS18 Europe PMC17 |
| 2013 | Robinson, E. C., Jbabdi, S., Andersson, J., Smith, S., Glasser, M. F., Van Essen, D. C., . . . Jenkinson, M. (2013). Multimodal surface matching: Fast and generalisable cortical registration using discrete optimisation. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 7917 LNCS, 475-486. Scopus33 Europe PMC32 |
| 2012 | Kolasinski, J., Stagg, C. J., Chance, S. A., Deluca, G. C., Esiri, M. M., Chang, E. H., . . . Johansen-Berg, H. (2012). A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology. Brain, 135(10), 2938-2951. Scopus130 WoS129 Europe PMC115 |
| 2012 | Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. Neuroimage, 62(2), 782-790. Scopus9116 WoS8887 Europe PMC8749 |
| 2012 | Kong, Y., Jenkinson, M., Andersson, J., Tracey, I., & Brooks, J. C. W. (2012). Assessment of physiological noise modelling methods for functional imaging of the spinal cord. Neuroimage, 60(2), 1538-1549. Scopus75 WoS68 Europe PMC75 |
| 2012 | Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., . . . Ugurbil, K. (2012). Temporally-independent functional modes of spontaneous brain activity. Proceedings of the National Academy of Sciences of the United States America, 109(8), 3131-3136. Scopus618 WoS593 Europe PMC553 |
| 2012 | Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, S. M., & Schnabel, J. A. (2012). MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Analysis, 16(7), 1423-1435. Scopus624 WoS553 Europe PMC268 |
| 2012 | Battaglini, M., Jenkinson, M., & De Stefano, N. (2012). Evaluating and reducing the impact of white matter lesions on brain volume measurements. Human Brain Mapping, 33(9), 2062-2071. Scopus289 WoS287 Europe PMC253 |
| 2012 | Sexton, C. E., Le Masurier, M., Allan, C. L., Jenkinson, M., McDermott, L., Kalu, U. G., . . . Ebmeier, K. P. (2012). Magnetic resonance imaging in late-life depression: Vascular and glucocorticoid cascade hypotheses. British Journal of Psychiatry, 201(1), 46-51. Scopus45 WoS33 Europe PMC31 |
| 2012 | Popescu, V., Battaglini, M., Hoogstrate, W. S., Verfaillie, S. C. J., Sluimer, I. C., van Schijndel, R. A., . . . Yousry, T. (2012). Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis. Neuroimage, 61(4), 1484-1494. Scopus148 WoS137 Europe PMC116 |
| 2012 | Stein, J. L., Medland, S. E., Vasquez, A. A., Hibar, D. P., Senstad, R. E., Winkler, A. M., . . . Mühleisen, T. W. (2012). Identification of common variants associated with human hippocampal and intracranial volumes. Nature Genetics, 44(5), 552-561. Scopus537 WoS509 Europe PMC493 |
| 2012 | Brooks, J. C. W., Kong, Y., Lee, M. C., Warnaby, C. E., Wanigasekera, V., Jenkinson, M., & Tracey, I. (2012). Stimulus site and modality dependence of functional activity within the human spinal cord. Journal of Neuroscience, 32(18), 6231-6239. Scopus44 WoS40 Europe PMC45 |
| 2012 | Tondelli, M., Wilcock, G. K., Nichelli, P., de Jager, C. A., Jenkinson, M., & Zamboni, G. (2012). Structural MRI changes detectable up to ten years before clinical Alzheimer's disease. Neurobiology of Aging, 33(4), 825-825.e36. Scopus211 WoS196 Europe PMC160 |
| 2012 | Wartolowska, K., Hough, M. G., Jenkinson, M., Andersson, J., Wordsworth, B. P., & Tracey, I. (2012). Structural changes of the brain in rheumatoid arthritis. Arthritis and Rheumatism, 64(2), 371-379. Scopus92 WoS88 Europe PMC81 |
| 2012 | Kincses, Z. T., Szabó, N., Valálik, I., Kopniczky, Z., Dézsi, L., Klivényi, P., . . . Vécsei, L. (2012). Target identification for stereotactic thalamotomy using diffusion tractography. Plos One, 7(1), 7 pages. Scopus31 WoS30 Europe PMC26 |
| 2012 | Gelineau-Morel, R., Tomassini, V., Jenkinson, M., Johansen-Berg, H., Matthews, P. M., & Palace, J. (2012). The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis. Human Brain Mapping, 33(12), 2802-2814. Scopus116 WoS116 Europe PMC108 |
| 2011 | Sallet, J., Mars, R. B., Noonan, M. P., Andersson, J. L., O'Reilly, J. X., Jbabdi, S., . . . Rushworth, M. F. S. (2011). Social network size affects neural circuits in Macaques. Science, 334(6056), 697-700. Scopus374 WoS351 Europe PMC297 |
| 2011 | Murphy, K., Van Ginneken, B., Reinhardt, J. M., Kabus, S., Ding, K., Deng, X., . . . Pluim, J. P. W. (2011). Evaluation of registration methods on thoracic CT: The EMPIRE10 challenge. IEEE Transactions on Medical Imaging, 30(11), 1901-1920. Scopus381 WoS341 Europe PMC266 |
| 2011 | Kincses, Z. T., Ropele, S., Jenkinson, M., Khalil, M., Petrovic, K., Loitfelder, M., . . . Enzinger, C. (2011). Lesion probability mapping to explain clinical deficits and cognitive performance in multiple sclerosis. Multiple Sclerosis Journal, 17(6), 681-689. Scopus79 WoS73 Europe PMC63 |
| 2011 | Tziortzi, A. C., Searle, G. E., Tzimopoulou, S., Salinas, C., Beaver, J. D., Jenkinson, M., . . . Gunn, R. N. (2011). Imaging dopamine receptors in humans with [11C]-(+)-PHNO: Dissection of D3 signal and anatomy. Neuroimage, 54(1), 264-277. Scopus371 WoS349 Europe PMC358 |
| 2011 | Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage, 56(3), 907-922. Scopus1951 WoS1891 Europe PMC1777 |
| 2011 | Miller, K. L., Stagg, C. J., Douaud, G., Jbabdi, S., Smith, S. M., Behrens, T. E. J., . . . McNab, J. A. (2011). Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner. Neuroimage, 57(1), 167-181. Scopus225 WoS217 Europe PMC210 |
| 2011 | Nunes, R. G., Drobnjak, I., Clare, S., Jezzard, P., & Jenkinson, M. (2011). Performance of single spin-echo and doubly refocused diffusion-weighted sequences in the presence of eddy current fields with multiple components. Magnetic Resonance Imaging, 29(5), 659-667. Scopus7 WoS5 Europe PMC5 |
| 2011 | Bishop, C. A., Jenkinson, M., Andersson, J., Declerck, J., & Merhof, D. (2011). Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data. Neuroimage, 55(3), 1009-1019. Scopus23 WoS20 Europe PMC15 |
| 2011 | Marcus, D. S., Harwell, J., Olsen, T., Hodge, M., Glasser, M. F., Prior, F., . . . Van Essen, D. C. (2011). Informatics and data mining tools and strategies for the human connectome project. Frontiers in Neuroinformatics, 5. Scopus472 |
| 2010 | Zarei, M., Patenaude, B., Damoiseaux, J., Morgese, C., Smith, S., Matthews, P. M., . . . Jenkinson, M. (2010). Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease. Neuroimage, 49(1), 1-8. Scopus148 WoS142 Europe PMC120 |
| 2010 | Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2010). Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447] (DOI:10.1016/j.neuroimage.2009.05.029). Neuroimage, 49(1), 1152. Scopus1 WoS2 |
| 2010 | Gallichan, D., Andersson, J. L. R., Jenkinson, M., Robson, M. D., & Miller, K. L. (2010). Reducing distortions in diffusion-weighted echo planar imaging with a dual-echo blip-reversed sequence. Magnetic Resonance in Medicine, 64(2), 382-390. Scopus49 WoS49 Europe PMC42 |
| 2010 | Drobnjak, I., Pell, G. S., & Jenkinson, M. (2010). Simulating the effects of time-varying magnetic fields with a realistic simulated scanner. Magnetic Resonance Imaging, 28(7), 1014-1021. Scopus31 WoS28 Europe PMC23 |
| 2010 | Zarei, M., Patenaude, B., Damoiseaux, J., Morgese, C., Smith, S., Matthews, P. M., . . . Jenkinson, M. (2010). Erratum to Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease [NeuroImage, 49, (2010), 1-8]. Neuroimage, 51(2), 940. Scopus1 WoS1 |
| 2009 | Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., . . . Smith, S. M. (2009). Bayesian analysis of neuroimaging data in FSL.. Neuroimage, 45(1 Suppl), S173-S186. Scopus2073 WoS1695 Europe PMC1910 |
| 2009 | Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2009). An evaluation of four automatic methods of segmenting the subcortical structures in the brain. Neuroimage, 47(4), 1435-1447. Scopus179 WoS157 Europe PMC99 |
| 2009 | Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M. C., . . . Parsey, R. V. (2009). Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage, 46(3), 786-802. Scopus1885 WoS1751 Europe PMC1496 |
| 2009 | Sun, D., Stuart, G. W., Jenkinson, M., Wood, S. J., McGorry, P. D., Velakoulis, D., . . . Pantelis, C. (2009). Brain surface contraction mapped in first-episode schizophrenia: A longitudinal magnetic resonance imaging study. Molecular Psychiatry, 14(10), 976-986. Scopus116 WoS102 Europe PMC96 |
| 2008 | Brooks, J. C. W., Beckmann, C. F., Miller, K. L., Wise, R. G., Porro, C. A., Tracey, I., & Jenkinson, M. (2008). Physiological noise modelling for spinal functional magnetic resonance imaging studies. Neuroimage, 39(2), 680-692. Scopus188 WoS172 Europe PMC188 |
| 2008 | Harvey, A. K., Pattinson, K. T. S., Brooks, J. C. W., Mayhew, S. D., Jenkinson, M., & Wise, R. G. (2008). Brainstem functional magnetic resonance imaging: Disentangling signal from physiological noise. Journal of Magnetic Resonance Imaging, 28(6), 1337-1344. Scopus148 WoS148 Europe PMC156 |
| 2007 | Smith, S. M., Johansen-Berg, H., Jenkinson, M., Nichols, T. E., Miller, K. L., Klein, J. C., . . . Behrens, T. E. J. (2007). Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nature Protocols, 2(3), 499-503. Scopus520 WoS502 Europe PMC474 |
| 2007 | Bartsch, A. J., Homola, G., Biller, A., Smith, S. M., Weijers, H. G., Wiesbeck, G. A., . . . Bendszus, M. (2007). Manifestations of early brain recovery associated with abstinence from alcoholism. Brain, 130(1), 36-47. Scopus177 WoS153 Europe PMC131 |
| 2007 | Smith, S., Jenkinson, M., Beckmann, C., Miller, K., & Woolrich, M. (2007). Meaningful design and contrast estimability in FMRI. Neuroimage, 34(1), 127-136. Scopus56 WoS53 Europe PMC50 |
| 2007 | Smith, S. M., Rao, A., De Stefano, N., Jenkinson, M., Schott, J. M., Matthews, P. M., & Fox, N. C. (2007). Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX. Neuroimage, 36(4), 1200-1206. Scopus99 WoS94 Europe PMC84 |
| 2007 | Douaud, G., Smith, S., Jenkinson, M., Behrens, T., Johansen-Berg, H., Vickers, J., . . . James, A. (2007). Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain, 130(9), 2375-2386. Scopus676 WoS664 Europe PMC647 |
| 2007 | Smith, S. M., Johansen-Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., . . . Behrens, T. E. J. (2007). Erratum: Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (Nature Protocols (2007) (499-503) 10.1038/nprot.2007.45). Nature Protocols, 2(3). |
| 2007 | Zarei, M., Johansen-Berg, H., Jenkinson, M., Ciccarelli, O., Thompson, A. J., & Matthews, P. M. (2007). Two-dimensional population map of cortical connections in the human internal capsule. Journal of Magnetic Resonance Imaging, 25(1), 48-54. Scopus55 WoS55 Europe PMC50 |
| 2007 | Bannister, P. R., Michael Brady, J., & Jenkinson, M. (2007). Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images. Image and Vision Computing, 25(3), 311-320. Scopus19 WoS14 |
| 2006 | Drobnjak, I., Gavaghan, D., Süli, E., Pitt-Francis, J., & Jenkinson, M. (2006). Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts. Magnetic Resonance in Medicine, 56(2), 364-380. Scopus84 WoS81 Europe PMC64 |
| 2006 | Beckmann, C. F., Jenkinson, M., Woolrich, M. W., Behrens, T. E. J., Flitney, D. E., Devlin, J. T., & Smith, S. M. (2006). Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming. Human Brain Mapping, 27(5), 380-391. Scopus56 WoS57 Europe PMC52 |
| 2006 | Behrens, T. E. J., Jenkinson, M., Robson, M. D., Smith, S. M., & Johansen-Berg, H. (2006). A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex. Neuroimage, 30(1), 220-227. Scopus50 WoS47 Europe PMC40 |
| 2006 | Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., . . . Behrens, T. E. J. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. Neuroimage, 31(4), 1487-1505. Scopus5690 WoS5529 Europe PMC5243 |
| 2005 | Smith, S. M., Beckmann, C. F., Ramnani, N., Woolrich, M. W., Bannister, P. R., Jenkinson, M., . . . McGonigle, D. J. (2005). Variability in fMRI: A re-examination of inter-session differences. Human Brain Mapping, 24(3), 248-257. Scopus159 WoS147 Europe PMC135 |
| 2005 | Österbauer, R. A., Matthews, P. M., Jenkinson, M., Beckmann, C. F., Hansen, P. C., & Calvert, G. A. (2005). Color of scents: Chromatic stimuli modulate odor responses in the human brain. Journal of Neurophysiology, 93(6), 3434-3441. Scopus141 WoS123 Europe PMC72 |
| 2005 | Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A. J., & Matthews, P. M. (2005). Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex. Journal of Vision, 5(2), 93-102. Scopus85 WoS80 Europe PMC72 |
| 2004 | Woolrich, M. W., Jenkinson, M., Brady, J. M., & Smith, S. M. (2004). Fully Bayesian Spatio-Temporal Modeling of FMRI Data. IEEE Transactions on Medical Imaging, 23(2), 213-231. Scopus206 WoS195 Europe PMC121 |
| 2004 | Bannister, P. R., Michael Brady, J., & Jenkinson, M. (2004). TIGER - A new model for spatio-temporal realignment of FMRI data. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3117, 292-303. Scopus6 WoS5 |
| 2004 | Freire, L., Orchard, J., Jenkinson, M., & Mangin, J. F. (2004). Reducing Activation-Related Bias in FMRI Registration. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3150, 278-285. Scopus3 WoS2 |
| 2004 | Jenkinson, M., Wilson, J. L., & Jezzard, P. (2004). Perturbation method for magnetic field calculations of nonconductive objects. Magnetic Resonance in Medicine, 52(3), 471-477. Scopus60 WoS53 Europe PMC48 |
| 2004 | Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004). Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage, 21(4), 1732-1747. Scopus1392 WoS1387 Europe PMC1345 |
| 2003 | Wilson, J. L., Jenkinson, M., & Jezzard, P. (2003). Protocol to determine the optimal intraoral passive shim for minimisation of susceptibility artifact in human inferior frontal cortex. Neuroimage, 19(4), 1802-1811. Scopus22 WoS23 Europe PMC15 |
| 2003 | Walters, N. B., Egan, G. F., Kril, J. J., Kean, M., Waley, P., Jenkinson, M., & Watson, J. D. G. (2003). In vivo identification of human cortical areas using high-resolution MRI: An approach to cerebral structure-function correlation. Proceedings of the National Academy of Sciences of the United States of America, 100(5), 2981-2986. Scopus130 WoS122 Europe PMC108 |
| 2003 | Freire, L., & Jenkinson, M. (2003). A gradient-informed robust motion correction method for FMRI. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2717, 377-386. Scopus1 WoS1 |
| 2003 | Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003). General multilevel linear modeling for group analysis in FMRI. Neuroimage, 20(2), 1052-1063. Scopus1261 WoS1238 Europe PMC1127 |
| 2003 | Jenkinson, M. (2003). Fast, automated, N-dimensional phase-unwrapping algorithm. Magnetic Resonance in Medicine, 49(1), 193-197. Scopus613 WoS593 Europe PMC532 |
| 2003 | Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2003). MRI brain T1 relaxation time changes in MS patients increase over time in both the white matter and the cortex. Journal of Neuroimaging, 13(3), 234-239. Scopus43 WoS39 Europe PMC38 |
| 2003 | Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., . . . Smith, S. M. (2003). Characterization and Propagation of Uncertainty in Diffusion-Weighted MR Imaging. Magnetic Resonance in Medicine, 50(5), 1077-1088. Scopus2527 WoS2397 Europe PMC2240 |
| 2003 | Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2003). MRI Brain T1 Relaxation Time Changes in MS Patients Increase Over Time in Both the White Matter and the Cortex. Journal of Neuroimaging, 13(3), 234-239. |
| 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. Scopus84 WoS80 Europe PMC72 |
| 2002 | Wilson, J. L., Jenkinson, M., De Araujo, I., Kringelbach, M. L., Rolls, E. T., & Jezzard, P. (2002). Fast, fully automated global and local magnetic field optimization for fMRI of the human brain. Neuroimage, 17(2), 967-976. Scopus134 WoS132 Europe PMC115 |
| 2002 | Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J., Matthews, P. M., Federico, A., & De Stefano, N. (2002). Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage, 17(1), 479-489. Scopus1804 WoS1753 Europe PMC1598 |
| 2002 | Jenkinson, M., & Brady, M. (2002). A saliency-based hierarchy for local symmetries. Image and Vision Computing, 20(2), 85-101. Scopus5 WoS5 |
| 2002 | Parry, A., Clare, S., Jenkinson, M., Smith, S., Palace, J., & Matthews, P. M. (2002). White matter and lesion T1 relaxation times increase in parallel and correlate with disability in multiple sclerosis. Journal of Neurology, 249(9), 1279-1286. Scopus97 WoS87 Europe PMC82 |
| 2002 | Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage, 17(2), 825-841. Scopus9688 WoS9532 Europe PMC9308 |
| 2001 | Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5(2), 143-156. Scopus5800 WoS5674 Europe PMC5265 |
| 2001 | Smith, S. M., De Stefano, N., Jenkinson, M., & Matthews, P. M. (2001). Normalized accurate measurement of longitudinal brain change. Journal of Computer Assisted Tomography, 25(3), 466-475. Scopus452 WoS423 Europe PMC368 |
| 2000 | Reddy, H., Narayanan, S., Arnoutelis, R., Jenkinson, M., Antel, J., Matthews, P. M., & Arnold, D. L. (2000). Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis. Brain, 123(11), 2314-2320. Scopus274 WoS252 Europe PMC193 |
| 2000 | Jenkinson, M., & Smith, S. M. (2000). Global optimisation for robust affine registration. Neuroimage, 11(5 PART II), S479. Scopus4 |
| 2000 | Matthews, P. M., Piniero, R., Johannssen-Berg, H., Pendlebury, S., Lee, M., Reddy, H., . . . Arnold, D. L. (2000). Adaptive local reorganisation of primary motor cortex after brain injury. Neuroimage, 11(5 PART II), S149. |
| 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. Scopus258 WoS231 Europe PMC176 |
| 1997 | MonWilliams, M., Wann, J. P., Jenkinson, M., & Rushton, K. (1997). Synaesthesia in the normal limb. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 264(1384), 1007-1010. WoS74 Europe PMC52 |
| 1994 | 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. (2012). Can correcting feature location in simulated mean climate improve agreement on projected changes?. Geophysical Research Letters. |
| - | Voets, N. L., Ashtari, M., Beckmann, C. F., Benjamin, C. F., Benzinger, T., Binder, J. R., . . . Bookheimer, S. (2025). Consensus recommendations for clinical functional MRI applied to language mapping. Aperture Neuro, 5. |
| Year | Citation |
|---|---|
| 2023 | ESOC 2023 Abstract Book (2023). (Vol. 8). SAGE Publications. DOI |
| 2017 | Arbel, T., Cardoso, M., Chung, A., Jenkinson, M., Ribbens, A., & Wells, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Vol. 10081 LNCS). H. Muller, B. Kelm, T. Arbel, W. CaI, M. Cardoso, G. Langs, . . . A. Ribbens (Eds.), Springer International Publishing AG. |
| 2017 | Arbel, T., Cardoso, M., Chung, A., Jenkinson, M., Ribbens, A., & Wells, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Vol. 10081 LNCS). H. Muller, B. Kelm, T. Arbel, W. CaI, M. Cardoso, G. Langs, . . . A. Ribbens (Eds.), Springer International Publishing AG. |
| Year | Citation |
|---|---|
| 2022 | Drobnjak, I., Graham, M., Zhang, H., & Jenkinson, M. (2022). Optimization of the MR imaging pipeline using simulation. In Biomedical Image Synthesis and Simulation: Methods and Applications (pp. 165-193). Elsevier. DOI |
| 2022 | Mehta, O., Liao, Z., Jenkinson, M., Carneiro, G., & Verjans, J. (2022). Machine Learning in Medical Imaging - Clinical Applications and Challenges in Computer Vision. In Artificial Intelligence in Medicine: Applications, Limitations and Future Directions (pp. 79-99). Springer Nature Singapore. DOI Scopus5 |
| 2022 | Pedersen, M., Verspoor, K., Abbott, D. F., Jenkinson, M., Sinclair, B., Law, M., & Jackson, G. D. (2022). Deep learning for reliable detection of epileptogenic lesions. In Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence (pp. 163-175). Elsevier. DOI Scopus1 |
| 2021 | Sundaresan, V., Griffanti, L., & Jenkinson, M. (2021). Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. In A. Crimi, & S. Bakas (Eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Vol. 12658 LNCS, pp. 340-353). Switzerland: Springer International Publishing. DOI Scopus23 WoS16 |
| 2012 | Jenkinson, M. (2012). Registration, atlases and cortical flattening. In Functional Magnetic Resonance Imaging: An Introduction to Methods (pp. 271-295). Oxford University PressOxford. DOI |
| 2001 | Jenkinson, M., & Smith, S. (2001). The role of registration in functional magnetic resonance imaging. In Medical Image Registration (pp. 183-198). Scopus8 |
| Year | Citation |
|---|---|
| 2024 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024). SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. In Proceedings of the IEEE International Conference on Computer Vision (pp. 11460-11471). Online: IEEE. DOI Scopus2 WoS2 |
| 2024 | Costigan-Dwyer, R. A., Stuckey, S. M., Hood, R. J., Joubert, S. L., Farr, T. D., Almuqbel, M., . . . Turner, R. J. (2024). Exploring the long-term blood-brain-barrier alterations associated with post-stroke secondary neurodegeneration in an ovine model. In Abstracts of the Asia Pacific Stroke Conference Combined Australian and New Zealand Stroke Organisation Conference (2024) as published in Cerebrovascular Diseases Vol. 53 (pp. 231). Adelaide, South Australia: Karger Publishers. DOI |
| 2024 | Collins-Praino, L., McNamara, A., Ellul, B., Baetu, I., Lau, S., & Jenkinson, M. (2024). Beyond Clinical Presentation: Incorporating Neuroimaging and Biofluid Markers to Predict Progression of Parkinson's disease (PD). In MOVEMENT DISORDERS Vol. 39 (pp. S63-S64). PA, Philadelphia: WILEY. |
| 2023 | Zeng, M., Xie, Y., To, M. S., Oakden-Rayner, L., Whitbread, L., Bacchi, S., . . . Jenkinson, M. (2023). Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 14224 LNCS (pp. 696-705). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus2 WoS2 |
| 2023 | Mayles, H., Haylock, B., & Jenkinson, M. (2023). ROAM (EORTC 1308) trial - impact of prospective trial reviews on protocol adherence. In RADIOTHERAPY AND ONCOLOGY Vol. 182 (pp. S327-S328). AUSTRIA, Vienna: ELSEVIER IRELAND LTD. |
| 2023 | Jenkinson, M., Meek, D., MacMillan, S., Tate, R., Grant, M. H., & Currie, S. (2023). Cardiac function is compromised in patients with elevated blood cobalt levels secondary to metal-on-metal hip implants. In HEART Vol. 109 (pp. A5). SCOTLAND, Univ of Aberdeen, Aberdeen: BMJ PUBLISHING GROUP. DOI Scopus5 |
| 2023 | Lau, S., Sharma, D., Rao, S., Snel, M., Milton, A., Edwards, S., . . . Hamilton-Bruce, A. (2023). Proteomics-based classification of transient ischaemic attacks, mimics and healthy controls using machine learning. In European Stroke Journal Vol. 8 (pp. 624-625). Munich, Germany. DOI |
| 2022 | Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.. In EMBC (pp. 3510-3513). IEEE. |
| 2022 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2022). FedHarmony: Unlearning Scanner Bias with Distributed Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13438 LNCS (pp. 695-704). Online: Springer. DOI Scopus13 WoS14 |
| 2022 | Whitbread, L., & Jenkinson, M. (2022). Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity. In C. H. Sudre, C. F. Baumgartner, A. Dalca, C. Qin, R. Tanno, K. Van Leemput, & W. M. Wells III (Eds.), International Workshop, UNSURE 2022 Held in Conjunction with MICCAI 2022. Proceedings Vol. 13563 LNCS (pp. 26-35). Singapore: Springer Verlag. DOI Scopus4 WoS1 |
| 2022 | Sundaresan, V., Dinsdale, N. K., Jenkinson, M., & Griffanti, L. (2022). Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. In Proceedings - International Symposium on Biomedical Imaging Vol. 2022-March (pp. 4 pages). Online: IEEE. DOI Scopus4 WoS4 |
| 2022 | Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual information neural estimation for unsupervised multi-modal registration of brain images. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2022-July (pp. 3510-3513). Online: IEEE. DOI Scopus8 WoS7 |
| 2021 | Gentile, G., Jenkinson, M., Griffanti, L., Lucchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2021). BIANCA-MS: A novel artificial intelligence tool for multiple sclerosis automated lesions segmentation. In JOURNAL OF THE NEUROLOGICAL SCIENCES Vol. 429 (pp. 2 pages). ITALY, Rome: ELSEVIER. DOI |
| 2021 | Jurynczyk, M., Klimiec-Moskal, E., Kong, Y., Hurley, S., Messina, S., Yeo, T., . . . Palace, J. (2021). Clinical, radiological and quantitative imaging analysis reveals distinct subgroups in the antibody-negative neuromyelitis optica/multiple sclerosis overlap cohort. In MULTIPLE SCLEROSIS JOURNAL Vol. 27 (pp. 443). SAGE PUBLICATIONS LTD. |
| 2021 | Fiondella, L., Mattioli, I., Vinceti, G., Chiari, A., Tondelli, M., Arya, Z., . . . Zamboni, G. (2021). THE BRAIN CORRELATES OF BEHAVIORAL DISTURBANCES IN FRONTOTEMPORAL DEMENTIA. In EUROPEAN JOURNAL OF NEUROLOGY Vol. 28 (pp. 92). WILEY. WoS1 |
| 2021 | To, M. S., Sarno, I. G., Chong, C., Jenkinson, M., & Carneiro, G. (2021). Self-supervised lesion change detection and localisation in longitudinal multiple sclerosis brain imaging. In Proceedings of the 24th International Conference on Medical Image Computing and Computer - Assisted Intervention as published in Image Processing, Computer Vision, Pattern Recognition, and Graphics Vol. 12907 LNCS (pp. 670-680). online: Springer International Publishing. DOI Scopus9 WoS4 |
| 2021 | Wyburd, M. K., Dinsdale, N. K., Namburete, A. I. L., & Jenkinson, M. (2021). TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12901 LNCS (pp. 250-260). Switzerland: Springer International Publishing. DOI Scopus19 WoS18 |
| 2021 | Corral Acero, J., Sundaresan, V., Dinsdale, N., Grau, V., & Jenkinson, M. (2021). A 2-step deep learning method with domain adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. In Proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2020), as published in Lecture Notes in Computer Science Vol. 12592 (pp. 196-207). Cham, Switzerland: Springer International Publishing. DOI Scopus12 |
| 2021 | Wyburd, M. K., Hesse, L. S., Aliasi, M., Jenkinson, M., Papageorghiou, A. T., Haak, M. C., & Namburete, A. I. L. (2021). Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12959 LNCS (pp. 242-252). Switzerland: Springer International Publishing. DOI Scopus13 WoS6 |
| 2020 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2020). Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. In Communications in Computer and Information Science Vol. 1248 CCIS (pp. 15-25). Switzerland: Springer Nature. DOI Scopus6 WoS5 |
| 2020 | Wyburd, M. K., Jenkinson, M., & Namburete, A. I. L. (2020). Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound. In Communications in Computer and Information Science Vol. 1248 CCIS (pp. 56-68). Switzerland: Springer Nature. DOI Scopus14 WoS10 |
| 2020 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2020). Unlearning Scanner Bias for MRI Harmonisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12262 LNCS (pp. 369-378). Switzerland: Springer Nature. DOI Scopus15 |
| 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. In Abstracts of the Annual Conference of the Asia Pacific Stroke Organization (APSO 2020), as published in Cerebrovascular Diseases Vol. 49 (pp. 72). Korea: Karger. DOI |
| 2019 | Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2019). Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11766 LNCS (pp. 284-291). Switzerland: Springer. DOI Scopus22 WoS19 |
| 2018 | Saillant, A., Platsch, G., Shah, V., Zuehlsdorff, S., Jenkinson, M., & Chappell, M. (2018). Reliability of myocardial blood flow estimates in abnormal scans. In JOURNAL OF NUCLEAR MEDICINE Vol. 59 (pp. 2 pages). Philadelphia, PA: SOC NUCLEAR MEDICINE INC. |
| 2018 | Williamson, W., Lewandowski, A. J., Huckstep, O., Visse, E., Betts, J., Jenkinson, M., . . . Leeson, P. (2018). Thalamic Volume is a Predictor of Cardiac Function at Rest and During Exercise in Young Adults. In CIRCULATION Vol. 138 (pp. 2 pages). LIPPINCOTT WILLIAMS & WILKINS. |
| 2017 | Saillant, A., Saint, K., Memmott, M., Armstrong, I., Shah, V., Zuehlsdorff, S., . . . Chappell, M. (2017). Estimation and reliability of myocardial blood flow after motion correction with dynamic PET using a Bayesian framework. In EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING Vol. 44 (pp. S356). SPRINGER. WoS1 |
| 2016 | Battaglini, M., Jenkinson, M., & De Stefano, N. (2016). SIENA-XL for the assessment of gray matter and white matter volume changes in clinical studies of patients with multiple sclerosis.. In MULTIPLE SCLEROSIS JOURNAL Vol. 22 (pp. 841). London, ENGLAND: SAGE PUBLICATIONS LTD. |
| 2016 | Bozek, J., Fitzgibbon, S., Wright, R., Rueckert, D., Jenkinson, M., & Robinson, E. C. (2016). Construction of a neonatal cortical surface atlas using multimodal surface matching. In Proceedings - International Symposium on Biomedical Imaging Vol. 2016-June (pp. 775-778). online: IEEE. DOI Scopus8 WoS5 |
| 2016 | Arya, Z., Griffanti, L., Mackay, C. E., & Jenkinson, M. (2016). Iterative dual LDA: A novel classification algorithm for resting state fMRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10019 LNCS (pp. 279-286). Netherlands: Springer. DOI Scopus1 WoS1 |
| 2015 | Battaglini, M., Jenkinson, M., & De Stefano, N. (2015). Improving measurement errors in the assessment of GM and WM volume changes using a new sienax procedure. In MULTIPLE SCLEROSIS JOURNAL Vol. 21 (pp. 495). Barcelona, SPAIN: SAGE PUBLICATIONS LTD. |
| 2015 | Zamboni, G., Griffanti, L., Bonifacio, G., Mazzucco, S., Khan, A., Pendlebury, S., . . . Rothwell, P. (2015). Association between macroscopic and microstructural white matter damage and cognition in vascular cognitive impairment. In INTERNATIONAL JOURNAL OF STROKE Vol. 10 (pp. 381). WILEY-BLACKWELL. |
| 2015 | Griffanti, L., Zamboni, G., Khan, A., Bonifacio, G., Li, L., Mazzucco, S., . . . Jenkinson, M. (2015). Validation of automated segmentation of white matter hyperintensities on MRI: Correlation with cognitive function after TIA and stroke. In INTERNATIONAL JOURNAL OF STROKE Vol. 10 (pp. 62). WILEY-BLACKWELL. |
| 2014 | Matthews, L., Kolind, S., Brazier, A., Leite, M. I., Brooks, J., Jenkinson, M., . . . Palace, J. (2014). Inflammation does not cause chronic global neurodegeneration in NMO? A longitudinal multimodel quantitative MRI study comparing NMO and MS. In MULTIPLE SCLEROSIS JOURNAL Vol. 20 (pp. 282). Boston, MA: SAGE PUBLICATIONS LTD. |
| 2013 | Battaglini, M., Jenkinson, M., Giorgio, A., Rocca, M. A., Filippi, M., Palace, J., & De Stefano, N. (2013). Improved MRI-derived assessment of grey and white matter volumes by using SIENAX. In MULTIPLE SCLEROSIS JOURNAL Vol. 19 (pp. 424-425). Copenhagen, DENMARK: SAGE PUBLICATIONS LTD. |
| 2013 | Arun, T., Tomassini, V., Sbardella, E., de Ruiter, M., Matthews, L., Leite, M., . . . Palace, J. (2013). ASIC1 Blockade in Primary Progressive Multiple Sclerosis: Evidence of Neuroprotection with Amiloride. In NEUROLOGY Vol. 80 (pp. 1 page). San Diego, CA: LIPPINCOTT WILLIAMS & WILKINS. WoS1 |
| 2013 | Heinrich, M. P., Jenkinson, M., Papiez, B. W., Glesson, F. V., Brady, S. M., & Schnabel, J. A. (2013). Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 7917 LNCS (pp. 463-474). Germany: Springer Berlin Heidelberg. DOI Scopus19 Europe PMC4 |
| 2013 | Heinrich, M. P., Jenkinson, M., Papiez, B. W., Brady, S. M., & Schnabel, J. A. (2013). Towards realtime multimodal fusion for image-guided interventions using self-similarities. In K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 8149 LNCS (pp. 187-194). Nagoya Univ, Nagoya, JAPAN: SPRINGER-VERLAG BERLIN. DOI Scopus151 WoS140 Europe PMC50 |
| 2013 | Bhushan, M., Schnabel, J. A., Chappell, M., Gleeson, F., Anderson, M., Franklin, J., . . . Jenkinson, M. (2013). The impact of heterogeneity and uncertainty on prediction of response to therapy using dynamic MRI data.. In K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 16 (pp. 316-323). Nagoya Univ, Nagoya, JAPAN: SPRINGER-VERLAG BERLIN. DOI Scopus3 WoS2 Europe PMC1 |
| 2012 | Heinrich, M. P., Jenkinson, M., Brady, S. M., & Schnabel, J. A. (2012). Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 7512 LNCS (pp. 115-122). Nice, FRANCE: SPRINGER-VERLAG BERLIN. DOI Scopus49 WoS43 Europe PMC13 |
| 2012 | Heinrich, M. P., Jenkinson, M., Brady, S. M., & Schnabel, J. A. (2012). Textural mutual information based on cluster trees for multimodal deformable registration. In Proceedings International Symposium on Biomedical Imaging (pp. 1471-1474). Barcelona, SPAIN: IEEE. DOI Scopus8 WoS5 |
| 2012 | Gunn, R. N., Jenkinson, M., Rabinner, E. A., Behrens, T., Shotbolt, P., Long, C., . . . Tziortzi, A. C. (2012). Quantification of dopamine release within the connectivity-derived functional subdivision of striatum. In JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM Vol. 32 (pp. S166). Baltimore, MD: NATURE PUBLISHING GROUP. WoS1 |
| 2012 | Matthews, L. A. E., Marasco, R., Jenkinson, M., Kuker, W., Leite, M. I., Giorgio, A., . . . Palace, J. (2012). Neuromyelitis optica spectrum disorder and multiple sclerosis can be distinguished on the basis of MRI brain lesion characteristics. In MULTIPLE SCLEROSIS JOURNAL Vol. 18 (pp. 9-10). Lyon, FRANCE: SAGE PUBLICATIONS LTD. |
| 2012 | Fabes, J., Matthews, L., Fillipini, N., Talbot, K., Jenkinson, M., & Turner, M. R. (2012). Quantitative Analysis of FLAIR Images in ALS Has Diagnostic Potential. In ANNALS OF NEUROLOGY Vol. 72 (pp. S79). Boston, MA: WILEY-BLACKWELL. |
| 2012 | Kolasinski, J., Stagg, C. J., Chance, S., Esiri, M., Chang, E., Palace, J. A., . . . Johansen-Berg, H. (2012). COMPARISON OF HISTOLOGICAL AND DIFFUSION-WEIGHTED MRI TECHNIQUES IN THE ANALYSIS OF POST MORTEM MULTIPLE SCLEROSIS BRAINS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 83 (pp. 1 page). Newcastle, ENGLAND: BMJ PUBLISHING GROUP. DOI |
| 2012 | Arun, T., Sbdarella, E., Ruiter, M., Tomassini, V., Leite, M. I., Craner, M., . . . Palace, J. (2012). AMILORIDE TREATMENT AMELIORATES MRI SURROGATE MARKERS OF NEURODEGENERATION IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 83 (pp. 1 page). Gateshead, ENGLAND: B M J PUBLISHING GROUP. DOI |
| 2011 | Matthews, L., Kolind, S., Jenkinson, M., Leite, M., Johansen-Berg, H., & Palace, J. (2011). Distinction of aquaporin-4 antibody positive neuromyelitis optica from multiple sclerosis using diffusion tensor and myelin water imaging. In MULTIPLE SCLEROSIS JOURNAL Vol. 17 (pp. S165). SAGE PUBLICATIONS LTD. |
| 2011 | Tziortzi, A., Searle, G., Long, C., Shotbolt, P., Rabiner, E., Jenkinson, M., & Gunn, R. (2011). A diffusion tensor imaging (DTI) and [11C]PHNO PET study to measure dopamine release in the functional subdivisions of the basal ganglia. In JOURNAL OF NUCLEAR MEDICINE Vol. 52 (pp. 2 pages). SOC NUCLEAR MEDICINE INC. |
| 2011 | de Ruiter, M. B., Tomassini, V., Arun, T., Jbabdi, S., Matthews, L. A., Sbardella, E., . . . Palace, J. (2011). Acid-sensing ion channel 1 blockade preserves brain microstructural integrity in patients with multiple sclerosis. In MULTIPLE SCLEROSIS JOURNAL Vol. 17 (pp. S205). SAGE PUBLICATIONS LTD. |
| 2011 | Bhushan, M., Schnabel, J. A., Risser, L., Heinrich, M. P., Brady, J. M., & Jenkinson, M. (2011). Motion correction and parameter estimation in dceMRI sequences: Application to colorectal cancer. In G. Fichtinger, A. Martel, & T. Peters (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 6891 LNCS (pp. 476-483). Toronto, CANADA: SPRINGER-VERLAG BERLIN. DOI Scopus38 WoS34 Europe PMC14 |
| 2011 | Tziortzi, A., Searle, G., Tsoumpas, C., Long, C., Shotbolt, P., Rabiner, E., . . . Gunn, R. N. (2011). MR-DTI and PET multimodal imaging of dopamine release within subdivisions of basal ganglia. In Journal of Physics Conference Series Vol. 317 (pp. 3 pages). CYPRUS: IOP PUBLISHING LTD. DOI Scopus2 WoS1 |
| 2011 | Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, J. M., & Schnabel, J. A. (2011). Non-local shape descriptor: A new similarity metric for deformable multi-modal registration. In G. Fichtinger, A. Martel, & T. Peters (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 6892 LNCS (pp. 541-548). Toronto, CANADA: SPRINGER-VERLAG BERLIN. DOI Scopus22 WoS20 Europe PMC4 |
| 2010 | Bishopy, C. A., Jenkinson, M., Declerck, J., & Merhof, D. (2010). Evaluation of hippocampal segmentation methods for healthy and pathological subjects. In Eg Vcbm 2010 Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 17-24). DOI Scopus3 |
| 2010 | Tarunya, A., Smith, S., Jenkinson, M., Palace, J. A., & Beckmann, C. (2010). PREDICTING BRAIN ATROPHY AT 1 YEAR BY BASELINE MULTIMODAL MRI DATA. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 81 (pp. E42). Bournemouth, ENGLAND: B M J PUBLISHING GROUP. DOI |
| 2010 | Tziortzi, A. C., Douaud, G., Shotbolt, P., Bishop, C., Searle, G., Laruelle, M., . . . Gunn, R. N. (2010). A combined diffusion tensor imaging (DTI) and [11C]-(+)-PHNO positron emission tomography (PET) study to quantify dopamine D3/D2 receptors in pallidum. In NEUROIMAGE Vol. 52 (pp. S23). Glasgow, SCOTLAND: ACADEMIC PRESS INC ELSEVIER SCIENCE. DOI WoS6 |
| 2010 | Arun, T., Smith, S., Weir, A. P., Palace, J., & Jenkinson, M. (2010). DIRECT COMPARISON OF MULTIPLE NONLESIONAL IMAGING MEASURES TO ASSESS THEIR POWER TO MEASURE TREATMENT EFFECTS OVER 1 YEAR IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS. In JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY Vol. 81 (pp. E52-E53). Bournemouth, ENGLAND: B M J PUBLISHING GROUP. DOI |
| 2009 | Poynton, C., Jenkinson, M., & Wells, W. (2009). Atlas-based improved prediction of magnetic field inhomogeneity for distortion correction of EPI data. In G. Z. Yang, D. Hawkes, D. Rueckert, A. Nobel, & C. Taylor (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5762 LNCS (pp. 951-959). Imperial Coll, London, ENGLAND: SPRINGER-VERLAG BERLIN. DOI Scopus6 WoS6 Europe PMC5 |
| 2009 | Petrović, A., Smith, S. M., Menke, R. A., & Jenkinson, M. (2009). Methods for tractography-driven surface registration of brain structures.. In G. Z. Yang, D. Hawkes, D. Rueckert, A. Nobel, & C. Taylor (Eds.), Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 12 (pp. 705-712). Imperial Coll, London, ENGLAND: SPRINGER-VERLAG BERLIN. DOI Scopus8 WoS6 Europe PMC5 |
| 2008 | Babalola, K. O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., . . . Rueckert, D. (2008). Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI. In D. Metaxas, L. Axel, G. Fichtinger, & G. Szekely (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5241 LNCS (pp. 409-416). New York, NY: SPRINGER-VERLAG BERLIN. DOI Scopus70 WoS58 Europe PMC20 |
| 2008 | Poynton, C., Jenkinson, M., Whalen, S., Golby, A. J., & Wells, W. (2008). Fieldmap-free retrospective registration and distortion correction for EPI-based functional imaging. In D. Metaxas, L. Axel, G. Fichtinger, & G. Szekely (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 5242 LNCS (pp. 271-279). New York, NY: SPRINGER-VERLAG BERLIN. DOI Scopus6 WoS3 Europe PMC2 |
| 2008 | Glahn, D. C., Jenkinson, M., Monkul, E. S., Robinson, J. L., Bearden, C. E., Escamilla, M. A., . . . Patenaude, B. (2008). Amygdala enlargement and shape distortion in bipolar disorder. In BIOLOGICAL PSYCHIATRY Vol. 63 (pp. 232S-233S). Washington, DC: ELSEVIER SCIENCE INC. WoS1 |
| 2007 | Zöllei, L., Jenkinson, M., Timoner, S., & Wells, W. (2007). A marginalized MAP approach and EM optimization for pair-wise registration. In N. Karssemeijer, & B. Lelieveldt (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4584 LNCS (pp. 662-674). NETHERLANDS, Kerkrade: SPRINGER-VERLAG BERLIN. DOI Scopus14 WoS7 Europe PMC8 |
| 2006 | Patenaude, B., Smith, S., & Jenkinson, M. (2006). A Bayesian cost function applied to model-based registration of sub-cortical brain structures. In J. P. W. Pluim, B. Likar, & F. A. Gerritsen (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4057 LNCS (pp. 9-17). Utrecht Univ, Utrecht, NETHERLANDS: SPRINGER-VERLAG BERLIN. DOI |
| 2006 | Babalola, K. O., Cootes, T. F., Patenaude, B., Rao, A., & Jenkinson, M. (2006). Comparing the similarity of statistical shape models using the bhattacharya metric. In R. Larsen, M. Nielsen, & J. Sporring (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4190 LNCS - I (pp. 142-150). Copenhagen, DENMARK: SPRINGER-VERLAG BERLIN. DOI Scopus8 WoS6 Europe PMC3 |
| 2005 | Crum, W. R., Camara, O., Rueckert, D., Bhatia, K. K., Jenkinson, M., & Hill, D. L. G. (2005). Generalised overlap measures for assessment of pairwise and groupwise image registration and segmentation. In J. S. Duncan, & G. Gerig (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 3749 LNCS (pp. 99-106). CA, Palm Springs: SPRINGER-VERLAG BERLIN. DOI Scopus31 WoS26 Europe PMC21 |
| 2004 | Crum, W. R., Rueckert, D., Jenkinson, M., Kennedy, D., & Smith, S. M. (2004). A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging. In C. Barillot, D. R. Haynor, & P. Hellier (Eds.), Lecture Notes in Computer Science Vol. 3216 (pp. 679-686). St Malo, FRANCE: SPRINGER-VERLAG BERLIN. DOI Scopus50 WoS39 |
| 2004 | Bannister, P. R., Brady, J. M., & Jenkinson, M. (2004). Non-rigid motion estimation and spatiooral realignment in FMRI. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2004-January (pp. 4). IEEE. DOI |
| 2004 | Loftus, C., Jenkinson, M., & Egan, G. F. (2004). High resolution boundary element forward models for sensor arrays: An application to electroencephalography. In M. Palaniswami, B. Krishnamachari, & S. Challa (Eds.), Proceedings of the 2004 Intelligent Sensors Sensor Networks and Information Processing Conference Issnip 04 (pp. 599-604). Melbourne, AUSTRALIA: IEEE. |
| 2004 | Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., . . . Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. In Neuroimage Vol. 23 (pp. S208-S219). CA, Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles: ACADEMIC PRESS INC ELSEVIER SCIENCE. DOI Scopus11324 WoS10843 Europe PMC10313 |
| 2003 | Jenkinson, M., Wilson, J., & Jezzard, P. (2003). Modelling B0 induced artifacts in fMRI using perturbation calculations. In AUSTRALIAN JOURNAL OF PSYCHOLOGY Vol. 55 (pp. 21). AUSTRALIAN PSYCHOLOGICAL SOC. WoS1 |
| 2003 | Loftus, C. M., Jenkinson, M., Wright, M., Sergejew, A. A., & Egan, G. F. (2003). Recovering simulated EEG source time series using independent component analysis. In AUSTRALIAN JOURNAL OF PSYCHOLOGY Vol. 55 (pp. 23). AUSTRALIAN PSYCHOLOGICAL SOC. |
| 2002 | Walters, N., Jenkinson, M., Kean, M., Watson, J. D., & Egan, G. F. (2002). Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. In L. Wang, J. C. Rajapakse, K. Fukushima, S. Y. Lee, & X. Yao (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age Vol. 1 (pp. 193-196). SINGAPORE, SINGAPORE: NANYANG TECHNOLOGICAL UNIV. DOI Scopus1 WoS1 |
| 2001 | Smith, S., Zhang, Y. Y., Jenkinson, M., Matthews, P. M., & De Stefano, N. (2001). SIENA: Single and multiple time point brain atrophy analysis. In NEUROIMAGE Vol. 13 (pp. S250). ACADEMIC PRESS INC. WoS1 |
| 2001 | Jenkinson, M. (2001). Improved unwarping of EPI images using regularised B0 maps. In NEUROIMAGE Vol. 13 (pp. S165). ACADEMIC PRESS INC. WoS21 |
| 2001 | Hall, D., Gonçalves, M., Smith, S., Jezzard, P., Jenkinson, M., & Haggard, M. (2001). Venous contribution to high magnitude BOLD contrast activation. In NEUROIMAGE Vol. 13 (pp. S143). ACADEMIC PRESS INC. |
| 2001 | Bannister, P. R., & Jenkinson, M. (2001). Robust affine motion correction in fMRI time series. In NEUROIMAGE Vol. 13 (pp. S70). ACADEMIC PRESS INC. WoS6 |
| 2001 | Bannister, P. R., Beckmann, C., & Jenkinson, M. (2001). Exploratory motion analysis in fMRI using ICA. In NEUROIMAGE Vol. 13 (pp. S69). ACADEMIC PRESS INC. WoS3 |
| 2001 | Smith, S., Bannister, P. R., Beckmann, C., Brady, M., Clare, S., Flitney, D., . . . Zhang, Y. Y. (2001). FSL: New tools for functional and structural brain image analysis. In NEUROIMAGE Vol. 13 (pp. S249). ACADEMIC PRESS INC. WoS43 |
| 1999 | Smith, S., & Jenkinson, M. (1999). Accurate robust symmetry estimation. In C. Taylor, & A. Colchester (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 1679 (pp. 308-317). CAMBRIDGE, ENGLAND: SPRINGER-VERLAG BERLIN. DOI Scopus25 WoS18 |
| 1997 | Jenkinson, M., & Brady, M. (1997). Feature saliency from noise variations in invariants. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1352 (pp. 41-48). Springer Berlin Heidelberg. DOI |
| Year | Citation |
|---|---|
| 2023 | Sharma, D., Snel, M., Trim, P., Lau, S., Jenkinson, M., Edwards, S., . . . Hamilton-Bruce, A. (2023). Discovery Lipidomics to Differentiate between Transient Ischaemic Attacks (TIAs), TIA Mimics, and Minor Stroke: A Clinical Study at the Royal Adelaide Hospital. Poster session presented at the meeting of Abstracts of Stroke 2023 - The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, as published in International Journal of Stroke. Melbourne, Australia: SAGE Publications. DOI |
| 2023 | Kenyon, G., Lau, S., Chappell, M., & Jenkinson, M. (2023). Open Access Automated Segmentation of Cerebral Blood Vessels from MRA using Hysteresis. Poster session presented at the meeting of INTERNATIONAL JOURNAL OF STROKE. SAGE PUBLICATIONS LTD. |
| 2023 | McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Utility of Baseline Pathological, Neuroimaging and Clinical Markers for Progression Prognosis and Subtype Classification in Early Parkinson's Disease: Implications for Cognitive Impairment. Poster session presented at the meeting of Abstracts of the Alzheimer's Association International Conference (AAIC 2023), as published in Alzheimer's & Dementia Journal. Amsterdam, The Netherlands: Wiley. DOI |
| 2023 | McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers. Poster session presented at the meeting of Abstracts of the 6th World Parkinson Congress, as published in Journal of Parkinson's Disease. Barcelona, Spain: IOS Press. DOI |
| 2023 | Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting longitudinal cognition and mood changes in newly diagnosed Parkinson's Disease from substantia nigra imaging (Oral Presentation). Poster session presented at the meeting of ACNS Conference Sydney 2023. https://drive.google.com/drive/folders/1Ixovo4O6LZNfSrf4S0Ds6vkbmyayHHEt. |
| 2022 | McNamara, A., Ellul, B., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). Predicting Progression of Parkinson’s Disease Motor Outcomes Using a Multimodal Combination of Baseline Clinical Measures, Neuroimaging and Biofluid Markers in Early PD. Poster session presented at the meeting of Australasian Neuroscience Conference 2022. Melbourne. |
| 2022 | Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). The role of the substantia nigra in predicting longitudinal cognitive and mood changes in newly diagnosed Parkinson’s Disease. Poster session presented at the meeting of Australasian Neuroscience Conferences 2022. Melbourne, Australia. |
| 2022 | Waldman, A. D., Catania, C., Pisa, M., Jenkinson, M., Lenardo, M., & De Luca, G. C. (2022). The prevalence and topography of spinal cord demyelination and inflammatory activity in multiple sclerosis. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD. |
| 2022 | Messina, S., Mariano, R., Roca-Fernandez, A., Leite, M. I., Calabrese, M., Jenkinson, M., . . . Palace, J. (2022). Cognitive function and imaging correlates in MOGAD: a comparison with MS and NMOSD-AQP4. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD. |
| 2022 | Gentile, G., Jenkinson, M., Griffanti, L., Luchetti, L., Leoncini, M., Inderyas, M., . . . Battaglini, M. (2022). Improving automated lesion segmentation using intensity constraints: the cleaning step. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Amsterdam, NETHERLANDS: SAGE PUBLICATIONS LTD. |
| 2020 | Milton, A. G., Kremer, K., Roa, S. R., MAS, E., Snel, M., Trim, P., . . . Hamilton-Bruce, 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 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.. Korea. |
| 2019 | Gentile, G., Battaglini, M., Luchetti, L., Giorgio, A., Griffanti, L., Sundaresan, V., . . . De Stefano, N. (2019). BIANCA for an automatic detection of multiple sclerosis lesions using machine learning. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. Stockholm, SWEDEN: SAGE PUBLICATIONS LTD. |
| 2019 | Messina, S., Mariano, R., Roca-Fernandez, A., Cavey, A., Everett, R., Reeve, S., . . . Palace, J. (2019). Normal appearing white matter and lesional integrity in MOG-Ab disease and MS: a diffusion-weighted imaging study. Poster session presented at the meeting of MULTIPLE SCLEROSIS JOURNAL. SWEDEN, Stockholm: SAGE PUBLICATIONS LTD. |
| Year | Citation |
|---|---|
| 2024 | Whitbread, L., Laurenz, S., Palmer, L., Jenkinson, M., & the Alzheimer’s Disease Neuroimaging Initiative. (2024). Deep-diffeomorphic networks for conditional brain templates. DOI |
- 2023 MRFF (investigator) - Spatial navigation assessment: pathway to clinical translation and early diagnosis of dementia (total funds $2m)
- 2023 MRFF (investigator) - The feasibility and potential of a novel robotic gait bioprosthesis for people with severe gait impairment post-stroke (total funds $513k)
- 2020 MRFF (investigator) - Traumatic Brain Injury Mission: Forecasting Impairment and Neurodegenerative Disease risk following Traumatic Brain Injury (FIND-TBI): A computational neurology-driven method to predict long-term prognosis (total funds $2m)
- 2019 Wellcome Trust Collaborative Award (co-investigator) - Integrative imaging of brain structure and function in populations and individuals (total funds £3.8m)
- 2017 Wellcome Trust Centre for Integrative Neuroimaging (co-investigator) - Wellcome Trust Centre Grant (total funds £11m)
- 2013 Cancer Research UK - Oxford Cancer Imaging Centre (applicants in the Image Analysis Programme: Mike Brady, Michael Chappell, Vicente Grau, Mark Jenkinson, Peter Jezzard, and Julia Schnabel) (total funds of £16m across 6 Programmes)
- 2012 Wellcome Trust Strategic Award (co-investigator) - Integrated multimodal brain imaging for neuroscience research and clinical practice (total funds £2m)
- 2011 NERC Grant (co-investigator) - Constraining the response of the hydrological cycle, land surface and regional weather to global change (HYDRA) (total funds £121K)
- 2010 NIH Grant (co-investigator) - Mapping the Human Connectome: Structure, Function and Heritability (total funds US$30m)
- 2009 EPSRC Grant (co-applicant) - New Tools for Understanding White Matter Disease using Diffusion MRI (total funds £555K)
- 2006 GlaxoSmithKline Grant (co-applicant) - Integrated structural and diffusion imaging for Alzheimer's (total funds £121K)
- 2005 David Phillips Fellowship (principal investigator) from the UK BBSRC (total funds £395K)
- 2005 DTI Grant (co-applicant) - Functional brain imaging: Relating patient data to the population (total funds £150K)
- 2004 EPSRC Grant (co-applicant) - Integrated Brain Image Modelling (total funds £750K)
- 2003 EPSRC Grant (co-author) - Information eXtraction from Images (total funds £555K)
- 2002 GlaxoSmithKline Grant (co-author) - FMRI Group Statistics (total funds £190K)
- University of Adelaide: Using Machine Learning Tools
- International: FSL Courses
- University of Oxford: MRI Graduate Programme
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Co-Supervisor | The development and application of machine learning diagnostic and prognostic systems for paediatric brain cancer. | Doctor of Philosophy | Doctorate | Full Time | Mr Jordan Cooper Vihermaki |
| 2025 | Co-Supervisor | The development and application of machine learning diagnostic and prognostic systems for paediatric brain cancer. | Doctor of Philosophy | Doctorate | Full Time | Mr Jordan Cooper Vihermaki |
| 2024 | Co-Supervisor | Development of a New Cognitive Reserve Measure: Implications for Parkinson’s Disease and Traumatic Brain Injury | Doctor of Philosophy | Doctorate | Full Time | Mr Isaac Calvin Saywell |
| 2024 | Principal Supervisor | Using Explainable Machine Learning to Explore Risk Signatures for Parkinson's Disease in Integrated Medical Imaging and Clinical Data | Doctor of Philosophy | Doctorate | Full Time | Mr Ankush Gajanan Arudkar |
| 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 |
| 2024 | Co-Supervisor | Development of a New Cognitive Reserve Measure: Implications for Parkinsons Disease and Traumatic Brain Injury | Doctor of Philosophy | Doctorate | Full Time | Mr Isaac Calvin Saywell |
| 2022 | Principal Supervisor | Using AI to predict clinical outcomes in dementia | Doctor of Philosophy | Doctorate | Part Time | Luke Whitbread |
| 2022 | Principal Supervisor | Using AI to predict clinical outcomes in dementia | Doctor of Philosophy | Doctorate | Full Time | Luke Whitbread |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2024 - 2025 | Co-Supervisor | Bridging the Gap Between Parkinson’s Disease and Traumatic Brain Injury: The Role of Biological Assessments for Early Detection of Neurodegenerative Disease Risk and Prognosis of Clinical Outcomes | Doctor of Philosophy | Doctorate | Full Time | Mr Angus McNamara |
| 2021 - 2025 | 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 - 2025 | Co-Supervisor | Prediction of cognitive and mood trajectories and clinical awareness of neurodegenerative disease risk following traumatic brain injury | Doctor of Philosophy | Doctorate | Full Time | Mr Benjamin Paul Ellul |
| 2020 - 2024 | Co-Supervisor | Weakly-supervised learning in Computer Vision and Medical Imaging | Doctor of Philosophy | Doctorate | Full Time | Mr Fengbei Liu |
| 2020 - 2024 | Co-Supervisor | Prognostication of large-vessel ischaemic stroke treated with endovascular thrombectomy | Doctor of Philosophy | Doctorate | Full Time | Miss Minyan Zeng |
| 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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