Michael A. Chappell

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 19

Top Topics

Motion Correction

Cerebral Blood Flow

Bayesian Inference

Top Venues

IEEE Trans. Medical Imaging

Publications

Yechuan Zhang, Jian-Qing Zheng, Michael A. Chappell
Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure. IEEE Trans. Signal Process. 72 (2024)
Thomas F. Kirk, Martin S. Craig, Michael A. Chappell
Unified Surface and Volumetric Inference on Functional Imaging Data. MICCAI (8) (2023)
Georgia Kenyon, Stephan Lau, Michael A. Chappell, Mark Jenkinson
Segmentation method for cerebral blood vessels from MRA using hysteresis. CoRR (2023)
Michael A. Chappell, Flora A. Kennedy McConnell, Xavier Golay, Matthias Günther, Juan Antonio Hernández Tamames, Matthias J. P. van Osch, Iris Asllani
Partial volume correction in arterial spin labeling perfusion MRI: A method to disentangle anatomy from physiology or an analysis step too far? NeuroImage 238 (2021)
Caoilfhionn Ní Leidhin, Jason McMorrow, Daniel Carey, Louise Newman, Wilby Williamson, Andrew J. Fagan, Michael A. Chappell, Rose-Anne Kenny, James F. Meaney, Silvin P. Knight
Age-related normative changes in cerebral perfusion: Data from The Irish Longitudinal Study on Ageing (TILDA). NeuroImage 229 (2021)
Joseph G. Woods, Michael A. Chappell, Thomas W. Okell
Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow. NeuroImage 223 (2020)
Michael A. Chappell, Mark W. Woolrich
The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes. CoRR (2020)
Thomas F. Kirk, Timothy S. Coalson, Martin S. Craig, Michael A. Chappell
Toblerone: Surface-Based Partial Volume Estimation. IEEE Trans. Medical Imaging 39 (5) (2020)
Antoine Saillant, Ian Armstrong, Vijay P. Shah, Sven Zuehlsdorff, Charles Hayden, Jérôme Declerck, Kimberley Saint, Matthew Memmott, Mark Jenkinson, Michael A. Chappell
Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework. IEEE Trans. Medical Imaging 38 (5) (2019)
Dominic Carone, G. W. J. Harston, James Garrard, F. De Angeli, Ludovica Griffanti, Thomas W. Okell, Michael A. Chappell, James Kennedy
ICA-based denoising for ASL perfusion imaging. NeuroImage 200 (2019)
Matthew T. Cherukara, Alan J. Stone, Michael A. Chappell, Nicholas P. Blockley
Model-based Bayesian inference of brain oxygenation using quantitative BOLD. NeuroImage 202 (2019)
Thais Roque, Laurent Risser, Veerle Kersemans, Sean Smart, Danny Allen, Paul Kinchesh, Stuart Gilchrist, Ana L. Gomes, Julia A. Schnabel, Michael A. Chappell
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. IEEE Trans. Medical Imaging 37 (3) (2018)
Hongfen Teng, Ziqiang Ma, Michael A. Chappell, Zhou Shi, Zongzheng Liang, Wu Yu
Improving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data. Remote. Sens. 9 (11) (2017)
Moss Y. Zhao, Melvin Mezue, Andrew R. Segerdahl, Thomas W. Okell, Irene Tracey, Yingyi Xiao, Michael A. Chappell
A systematic study of the sensitivity of partial volume correction methods for the quantification of perfusion from pseudo-continuous arterial spin labeling MRI. NeuroImage 162 (2017)
G. P. Ralli, Daniel R. McGowan, Michael A. Chappell, Ricky A. Sharma, Geoff S. Higgins, J. D. Fenwick
4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines. ISBI (2017)
Marco Castellaro, Gaia Rizzo, Matteo Tonietto, Mattia Veronese, Federico E. Turkheimer, Michael A. Chappell, Alessandra Bertoldo
A Variational Bayesian inference method for parametric imaging of PET data. NeuroImage 150 (2017)
Hongfen Teng, Raphael A. Viscarra Rossel, Zhou Shi, Thorsten Behrens, Michael A. Chappell, Elisabeth N. Bui
Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environ. Model. Softw. 77 (2016)
Thais Roque, Bartlomiej W. Papiez, Veerle Kersemans, Sean Smart, Danny Allen, Michael A. Chappell, Julia A. Schnabel
Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors. CVPR Workshops (2016)
Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A. Schnabel, Michael A. Chappell
A DCE-MRI imaging-based model for simulation of vascular tumour growth. EMBC (2016)
Rutej R. Mehta, Michael A. Chappell
Quantification of errors in cerebral blood flow measurements due to dispersion in arterial spin labelling. EMBC (2015)
Eidrees Ghariq, Michael A. Chappell, Sophie Schmid, Wouter M. Teeuwisse, Matthias J. P. van Osch
Effects of background suppression on the sensitivity of dual-echo arterial spin labeling MRI for BOLD and CBF signal changes. NeuroImage 103 (2014)
Monica Enescu, Mattias P. Heinrich, Esme J. Hill, Ricky A. Sharma, Michael A. Chappell, Julia A. Schnabel
An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. BAMBI (2014)
Andre Hallack, Michael A. Chappell, Mark J. Gooding, Julia A. Schnabel
A New Similarity Metric for Groupwise Registration of Variable Flip Angle Sequences for Improved T 10 Estimation in DCE-MRI. WBIR (2014)
Thomas W. Okell, Michael A. Chappell, Peter Jezzard
A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI. Medical Image Anal. 17 (8) (2013)
Amit Mehndiratta, Bradley J. MacIntosh, David E. Crane, Stephen J. Payne, Michael A. Chappell
A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI. NeuroImage 64 (2013)
Manav Bhushan, Julia A. Schnabel, Michael A. Chappell, Fergus Gleeson, Mark Anderson, Jamie Franklin, Michael Brady, Mark Jenkinson
The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. MICCAI (1) (2013)
Michael A. Chappell, Thomas W. Okell, Stephen J. Payne, Peter Jezzard, Mark William Woolrich
A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography. Medical Image Anal. 16 (4) (2012)
Daniel P. Bulte, Michael Kelly, Michael A. Germuska, J. Xie, Michael A. Chappell, Thomas W. Okell, Molly G. Bright, Peter Jezzard
Quantitative measurement of cerebral physiology using respiratory-calibrated MRI. NeuroImage 60 (1) (2012)
Adrian R. Groves, Michael A. Chappell, Mark William Woolrich
Combined spatial and non-spatial prior for inference on MRI time-series. NeuroImage 45 (3) (2009)
Samira M. Kazan, Michael A. Chappell, Stephen J. Payne
Modeling the Effects of Flow Dispersion in Arterial Spin Labeling. IEEE Trans. Biomed. Eng. 56 (6) (2009)
Michael A. Chappell, Thomas W. Okell, Peter Jezzard, Mark William Woolrich
Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling. MICCAI (1) (2009)
Mark William Woolrich, Saâd Jbabdi, Brian Patenaude, Michael A. Chappell, Salima Makni, Timothy Behrens, Christian F. Beckmann, Mark Jenkinson, Stephen M. Smith
Bayesian analysis of neuroimaging data in FSL. NeuroImage 45 (1) (2009)
Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich
Variational Bayesian Inference for a Nonlinear Forward Model. IEEE Trans. Signal Process. 57 (1) (2009)
Michael A. Chappell, Sébastien Uzel, Stephen J. Payne
Modeling the Detachment and Transport of Bubbles From Nucleation Sites in Small Vessels. IEEE Trans. Biomed. Eng. 54 (11) (2007)