John Aston
John Aston
Statistical Laboratory, DPMMS, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
A general statistical analysis for fMRI data
KJ Worsley, CH Liao, J Aston, V Petre, GH Duncan, F Morales, AC Evans
Neuroimage 15 (1), 1-15, 2002
Positron emission tomography compartmental models: a basis pursuit strategy for kinetic modeling
RN Gunn, SR Gunn, FE Turkheimer, JAD Aston, VJ Cunningham
Journal of Cerebral Blood Flow & Metabolism 22 (12), 1425-1439, 2002
Positron emission tomography partial volume correction: estimation and algorithms
JAD Aston, VJ Cunningham, MC Asselin, A Hammers, AC Evans, ...
Journal of Cerebral Blood Flow & Metabolism 22 (8), 1019-1034, 2002
Dynamic functional changes associated with cognitive skill learning of an adapted version of the Tower of London task
MH Beauchamp, A Dagher, JAD Aston, J Doyon
Neuroimage 20 (3), 1649-1660, 2003
Estimating the delay of the fMRI response
CH Liao, KJ Worsley, JB Poline, JAD Aston, GH Duncan, AC Evans
NeuroImage 16 (3), 593-606, 2002
Reduced dopamine D1 receptor binding in the ventral striatum of cigarette smokers
A Dagher, C Bleicher, JAD Aston, RN Gunn, PBS Clarke, P Cumming
Synapse 42 (1), 48-53, 2001
Toward automatic model comparison: an adaptive sequential Monte Carlo approach
Y Zhou, AM Johansen, JAD Aston
Journal of Computational and Graphical Statistics 25 (3), 701-726, 2016
A linear wavelet filter for parametric imaging with dynamic PET
FE Turkheimer, JAD Aston, RB Banati, C Riddell, VJ Cunningham
IEEE Transactions on Medical Imaging 22 (3), 289-301, 2003
A statistical method for the analysis of positron emission tomography neuroreceptor ligand data
JAD Aston, RN Gunn, KJ Worsley, Y Ma, AC Evans, A Dagher
Neuroimage 12 (3), 245-256, 2000
Distances and inference for covariance operators
D Pigoli, JAD Aston, IL Dryden, P Secchi
Biometrika 101 (2), 409-422, 2014
Evaluating stationarity via change-point alternatives with applications to fMRI data
JAD Aston, C Kirch
The Annals of Applied Statistics, 1906-1948, 2012
Detecting and estimating changes in dependent functional data
JAD Aston, C Kirch
Journal of Multivariate Analysis 109, 204-220, 2012
Linguistic pitch analysis using functional principal component mixed effect models
JAD Aston, JM Chiou, JP Evans
Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 …, 2010
Modeling dynamic PET-SPECT studies in the wavelet domain
FE Turkheimer, RB Banati, D Visvikis, JAD Aston, RN Gunn, ...
Journal of Cerebral Blood Flow & Metabolism 20 (5), 879-893, 2000
MR image segmentation using a power transformation approach
JD Lee, HR Su, PE Cheng, M Liou, JAD Aston, AC Tsai, CY Chen
IEEE Transactions on Medical Imaging 28 (6), 894-905, 2009
Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell–cell interactions
RV Belavkin, JAD Aston, A Channon, E Aston, BM Rash, M Kadirvel, ...
Nature communications 5 (1), 1-8, 2014
Accurate autocorrelation modeling substantially improves fMRI reliability
W Olszowy, J Aston, C Rua, GB Williams
Nature communications 10 (1), 1-11, 2019
Tests for separability in nonparametric covariance operators of random surfaces
JAD Aston, D Pigoli, S Tavakoli
The Annals of Statistics, 1431-1461, 2017
The state space models toolbox for MATLAB
JY Peng, JAD Aston
Journal of Statistical Software 41 (6), 2011
Multi-resolution Bayesian regression in PET dynamic studies using wavelets
FE Turkheimer, JAD Aston, MC Asselin, R Hinz
Neuroimage 32 (1), 111-121, 2006
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