John Ashburner
Orcid: 0000-0001-7605-2518
According to our database1,
John Ashburner
authored at least 97 papers
between 2001 and 2023.
Collaborative distances:
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Bibliography
2023
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models.
Medical Image Anal., 2023
CoRR, 2023
2022
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets.
NeuroImage, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
NeuroImage, 2021
Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity.
NeuroImage, 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
2020
The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure.
NeuroImage, 2020
A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration.
NeuroImage, 2020
An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE).
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
NeuroImage, 2019
Medical Image Anal., 2019
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.
Medical Image Anal., 2019
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods.
NeuroImage, 2018
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction.
NeuroImage, 2018
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
NeuroImage, 2017
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis.
NeuroImage, 2017
Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson's disease.
NeuroImage, 2017
CoRR, 2017
2016
New tissue priors for improved automated classification of subcortical brain structures on MRI.
NeuroImage, 2016
Comput. Vis. Image Underst., 2016
2015
Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance.
NeuroImage, 2015
Do we need to revise the tripartite subdivision hypothesis of the human subthalamic nucleus (STN)? Response to Alkemade and Forstmann.
NeuroImage, 2015
A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
2014
A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia.
Neuroinformatics, 2014
Disentangling in vivo the effects of iron content and atrophy on the ageing human brain.
NeuroImage, 2014
An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
2012
Confirmation of functional zones within the human subthalamic nucleus: Patterns of connectivity and sub-parcellation using diffusion weighted imaging.
NeuroImage, 2012
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT).
NeuroImage, 2011
Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ).
NeuroImage, 2011
Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods.
NeuroImage, 2011
NeuroImage, 2011
Measuring the Consistency of Global Functional Connectivity Using Kernel Regression Methods.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2010
Normal variation in fronto-occipital circuitry and cerebellar structure with an autism-associated polymorphism of CNTNAP2.
NeuroImage, 2010
NeuroImage, 2010
2009
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage, 2009
A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging.
NeuroImage, 2009
Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps.
NeuroImage, 2009
Genotype-phenotype interactions in primary dystonias revealed by differential changes in brain structure.
NeuroImage, 2009
2008
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning.
IEEE Trans. Medical Imaging, 2008
Interpreting scan data acquired from multiple scanners: A study with Alzheimer's disease.
NeuroImage, 2008
Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
NeuroImage, 2008
fMRI Activity Patterns in Human LOC Carry Information about Object Exemplars within Category.
J. Cogn. Neurosci., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Spatial normalization of lesioned brains: Performance evaluation and impact on fMRI analyses.
NeuroImage, 2007
NeuroImage, 2007
2005
2004
2003
Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution.
NeuroImage, 2003
NeuroImage, 2003
How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging.
NeuroImage, 2003
2002
The Precision of Anatomical Normalization in the Medial Temporal Lobe Using Spatial Basis Functions.
NeuroImage, 2002
Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias.
NeuroImage, 2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
2001
NeuroImage, 2001
Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains.
NeuroImage, 2001
NeuroImage, 2001
Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking.
NeuroImage, 2001