Jenkinson, Mark

Advances in functional and structural MR image analysis and implementation as FSL

Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage

Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Cited by 13,630

Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 11,888

FSL

Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage

Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Cited by 11,314

The minimal preprocessing pipelines for the Human Connectome Project

Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 5,253

A multi-modal parcellation of human cerebral cortex

Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 5,111

Characterization and propagation of uncertainty in diffusion-weighted MR imaging

Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 3,038

A Bayesian model of shape and appearance for subcortical brain segmentation

Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 2,287

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration

Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 2,227

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., Bartsch, A. J., Jbabdi, S., Sotiropoulos, S. N., Andersson, J. L. R., et al. (2016) · Nature Neuroscience

Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 2,020

The Human Connectome Project's neuroimaging approach

Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 1,090

Functional connectomics from resting-state fMRI

Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 952

Common genetic variants influence human subcortical brain structures

Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 858

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior

Genetic Associations and EpidemiologyFunctional Brain Connectivity Studies

Cited by 838

Temporally-independent functional modes of spontaneous brain activity

Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., Beckmann, C. F., Jenkinson, M., Andersson, J., Glasser, M. F., et al. (2012) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 702

MSM: a new flexible framework for Multimodal Surface Matching

Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., Smith, S. M., Van Essen, D. C., & Jenkinson, M. (2014) · NeuroImage

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 640

Social Network Size Affects Neural Circuits in Macaques

Sallet, J., Mars, R. B., Noonan, M. P., Andersson, J. L., O’Reilly, J. X., Jbabdi, S., Croxson, P. L., Jenkinson, M., Miller, K. L., & Rushworth, M. F. S. (2011) · Science

Primate Behavior and EcologyNeuroendocrine regulation and behavior

Cited by 514

Human Connectome Project informatics: Quality control, database services, and data visualization

Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., Barch, D. M., Archie, K. A., Burgess, G. C., Ramaratnam, M., et al. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 465

BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., Churchill, N. W., Cohen, A. L., Craddock, R. C., Devenyi, G. A., et al. (2017) · PLOS Computational Biology

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 311

Novel genetic loci associated with hippocampal volume

Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyMemory and Neural Mechanisms

Cited by 299

Distinction of seropositive NMO spectrum disorder and MS brain lesion distribution

Matthews, L., Marasco, R., Jenkinson, M., Küker, W., Luppe, S., Leite, M. I., Giorgio, A., De Stefano, N., Robertson, N., Johansen-Berg, H., et al. (2013) · Neurology

Multiple Sclerosis Research StudiesPeripheral Neuropathies and Disorders

Cited by 225

Color of Scents: Chromatic Stimuli Modulate Odor Responses in the Human Brain

Österbauer, R. A., Matthews, P. M., Jenkinson, M., Beckmann, C. F., Hansen, P. C., & Calvert, G. A. (2005) · Journal of Neurophysiology

Olfactory and Sensory Function StudiesMultisensory perception and integration

Cited by 193

Deep learning-based unlearning of dataset bias for mri harmonisation and confound removal

Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2021) · NeuroImage

Domain Adaptation and Few-Shot LearningAdvanced MRI Techniques and Applications

Cited by 178

Towards realtime multimodal fusion for image-guided interventions using self-similarities

Heinrich, M. P., Jenkinson, M., Papież, B. W., Brady, S. M., & Schnabel, J. A. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 176

Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise

Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., Kolind, S. H., Foxley, S., Jenkinson, M., Nichols, T. E., et al. (2016) · NeuroImage

Neurogenesis and neuroplasticity mechanismsMemory and Neural Mechanisms

Cited by 152