Mark Jenkinson

发表

Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images

Vaanathi Sundaresan, Giovanna Zamboni, Peter M. Rothwell, 2020, bioRxiv.

A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex

Mark Jenkinson, Timothy Edward John Behrens, Matthew D. Robson, 2006, NeuroImage.

High resolution nonlinear registration with simultaneous modelling of intensities

Mark Jenkinson, Jesper L. R. Andersson, Stephen Smith, 2019, bioRxiv.

Reducing distortions in diffusion‐weighted echo planar imaging with a dual‐echo blip‐reversed sequence

Mark Jenkinson, Daniel Gallichan, Jesper L. R. Andersson, 2010, Magnetic resonance in medicine.

Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX

Nick C. Fox, Mark Jenkinson, Stephen M. Smith, 2007, NeuroImage.

Unlearning Scanner Bias for MRI Harmonisation

Mark Jenkinson, Ana I. L. Namburete, Nicola K. Dinsdale, 2020, MICCAI.

How to make brain imaging research efficient and reproducible: building software and standards

Satrajit S. Ghosh, Arno Klein, Franck Michel, 2015 .

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Daniel Rueckert, Mark Jenkinson, Joseph V. Hajnal, 2019, NeuroImage.

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding

Ludovica Griffanti, Vaanathi Sundaresan, Giovanna Zamboni, 2018, NeuroImage.

Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool

Mark Jenkinson, Anne-Catherine Bachoud-Lévi, Max C. Keuken, 2016, NeuroImage.

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

Thomas E. Nichols, Mark Jenkinson, Heidi Johansen-Berg, 2016, NeuroImage.

Sharing brain mapping statistical results with the neuroimaging data model

David B. Keator, Thomas E. Nichols, Mark Jenkinson, 2016 .

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Daniel Rueckert, Mark Jenkinson, Mary A. Rutherford, 2017, NeuroImage.

Deep Learning-Based Unlearning of Dataset Bias for MRI Harmonisation and Confound Removal

Mark Jenkinson, Nicola K. Dinsdale, Ana I. L. Namburete, 2020 .

BIDS Apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

M. Mallar Chakravarty, Anisha Keshavan, Russell A. Poldrack, 2016 .

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

Abraham Z. Snyder, Mark Jenkinson, Matthew F. Glasser, 2013, NeuroImage.

A multi-modal parcellation of human cerebral cortex

Jesper Andersson, Essa Yacoub, Carl D. Hacker, 2016, Nature.

Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

Christopher Rorden, Ludovica Griffanti, Stephen M. Smith, 2017 .

The Human Connectome Project's neuroimaging approach

Steen Moeller, Essa Yacoub, Kamil Ugurbil, 2016, Nature Neuroscience.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

A NOVEL DIFFUSION TENSOR IMAGING METHOD TO CLASSIFY FRONTO-TEMPORAL DEMENTIA SUBTYPES WITH MACHINE LEARNING

Mark Jenkinson, Marco Bozzali, Steven A. Chance, 2019, Alzheimer's & Dementia.

Denoising spinal cord fMRI data: Approaches to acquisition and analysis

Irene Tracey, Mark Jenkinson, Falk Eippert, 2017, NeuroImage.

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

Mark Jenkinson, Stephen M. Smith, Diego Vidaurre, 2021, NeuroImage.

BIANCA for an automatic detection of multiple sclerosis lesions using machine learning

Ludovica Griffanti, Vaanathi Sundaresan, Mark Jenkinson, 2019 .

Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images

Mark Jenkinson, Ana I. L. Namburete, Nicola K. Dinsdale, 2019, MICCAI.

Corrigendum to “Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease” [NeuroImage 49 (2010) 1–8]

Mark Jenkinson, Paul M. Matthews, Frederik Barkhof, 2010, NeuroImage.

MSM: A new flexible framework for Multimodal Surface Matching

Mark Jenkinson, Stephen M. Smith, Matthew F. Glasser, 2014, NeuroImage.

Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease

Mark Jenkinson, Paul M. Matthews, Frederik Barkhof, 2010, NeuroImage.

FSL

Mark W. Woolrich, Mark Jenkinson, Timothy Edward John Behrens, 2012, NeuroImage.

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

Daniel Rueckert, Thomas E. Nichols, Mark Jenkinson, 2006, NeuroImage.

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding

Ludovica Griffanti, Vaanathi Sundaresan, Giovanna Zamboni, 2018, NeuroImage.

Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner

Tipu Z. Aziz, Mark Jenkinson, Timothy Edward John Behrens, 2011, NeuroImage.

Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

Mark Jenkinson, Ana I. L. Namburete, Madeleine K. Wyburd, 2020, MIUA.

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

Satrajit S. Ghosh, Anisha Keshavan, Mark Jenkinson, 2016, bioRxiv.

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

Arno Klein, Brian B. Avants, D. Louis Collins, 2009, NeuroImage.

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

Ludovica Griffanti, Mark Jenkinson, Stephen M. Smith, 2017, NeuroImage.

Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation

Mark Jenkinson, Ana I. L. Namburete, Nicola K. Dinsdale, 2020, MIUA.

Tensor Image Registration Library: Automated Non-Linear Registration of Sparsely Sampled Histological Specimens to Post-Mortem MRI of the Whole Human Brain

Martin Turner, Mark Jenkinson, Karla L. Miller, 2019, bioRxiv.

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

Mark Jenkinson, Diego Vidaurre, Ana I. L. Namburete, 2020, NeuroImage.

Advances in diffusion MRI acquisition and processing in the Human Connectome Project

Steen Moeller, Essa Yacoub, Christophe Lenglet, 2013, NeuroImage.

Artificial intelligence for clinical decision support in neurology

Mark Jenkinson, Meng Law, Karin Verspoor, 2020, Brain communications.

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Jesper Andersson, Daniel Rueckert, Mark Jenkinson, 2020, NeuroImage.

Development of a functional magnetic resonance imaging simulator for modeling realistic rigid‐body motion artifacts

David Gavaghan, Mark Jenkinson, Joe Pitt-Francis, 2006, Magnetic resonance in medicine.

Fast R and C++ Access to NIfTI Images [R package RNifti version 1.2.2]

Mark Jenkinson, Jon Clayden, Bob Cox, 2020 .