Modeling the Detachment and Transport of Bubbles From Nucleation Sites in Small Vessels. - Michael A. Chappell; Sébastien Uzel; Stephen J. Payne (IEEE Trans. Biomed. Eng., 2007)

Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling. - Michael A. Chappell; Thomas W. Okell; Peter Jezzard; Mark William Woolrich (MICCAI (1), 2009)

Combined spatial and non-spatial prior for inference on MRI time-series. - Adrian R. Groves; Michael A. Chappell; Mark William Woolrich (NeuroImage, 2009)

Bayesian analysis of neuroimaging data in FSL. - Mark William Woolrich; Saâd Jbabdi; Brian Patenaude; Michael A. Chappell; Salima Makni; Timothy Behrens; Christian F. Beckmann; Mark Jenkinson; Stephen M. Smith 001 (NeuroImage, 2009)

Modeling the Effects of Flow Dispersion in Arterial Spin Labeling. - Samira M. Kazan; Michael A. Chappell; Stephen J. Payne (IEEE Trans. Biomed. Eng., 2009)

Variational Bayesian Inference for a Nonlinear Forward Model. - Michael A. Chappell; Adrian R. Groves; Brandon J. Whitcher; Mark William Woolrich (IEEE Trans. Signal Process., 2009)

A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography. - Michael A. Chappell; Thomas W. Okell; Stephen J. Payne; Peter Jezzard; Mark William Woolrich (Medical Image Anal., 2012)

Quantitative measurement of cerebral physiology using respiratory-calibrated MRI. - Daniel P. Bulte; Michael Kelly; Michael A. Germuska; J. Xie; Michael A. Chappell; Thomas W. Okell; Molly G. Bright; Peter Jezzard (NeuroImage, 2012)

The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. - Manav Bhushan; Julia A. Schnabel; Michael A. Chappell; Fergus Gleeson; Mark Anderson 002; Jamie Franklin; Michael Brady 001; Mark Jenkinson (MICCAI (1), 2013)

A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI. - Thomas W. Okell; Michael A. Chappell; Peter Jezzard (Medical Image Anal., 2013)

A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI. - Amit Mehndiratta; Bradley J. MacIntosh; David E. Crane; Stephen J. Payne; Michael A. Chappell (NeuroImage, 2013)

An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. - Monica Enescu; Mattias P. Heinrich; Esme J. Hill; Ricky A. Sharma; Michael A. Chappell; Julia A. Schnabel (BAMBI, 2014)

A New Similarity Metric for Groupwise Registration of Variable Flip Angle Sequences for Improved T 10 Estimation in DCE-MRI. - Andre Hallack; Michael A. Chappell; Mark J. Gooding; Julia A. Schnabel (WBIR, 2014)

Effects of background suppression on the sensitivity of dual-echo arterial spin labeling MRI for BOLD and CBF signal changes. - Eidrees Ghariq; Michael A. Chappell; Sophie Schmid; Wouter M. Teeuwisse; Matthias J. P. van Osch (NeuroImage, 2014)

Quantification of errors in cerebral blood flow measurements due to dispersion in arterial spin labelling. - Rutej R. Mehta; Michael A. Chappell (EMBC, 2015)

Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors. - Thais Roque; Bartlomiej W. Papiez; Veerle Kersemans; Sean Smart; Danny Allen; Michael A. Chappell; Julia A. Schnabel (CVPR Workshops, 2016)

A DCE-MRI imaging-based model for simulation of vascular tumour growth. - Thais Roque; Veerle Kersemans; Sean Smart; Danny Allen; Julia A. Schnabel; Michael A. Chappell (EMBC, 2016)

Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia. - Hongfen Teng; Raphael A. Viscarra Rossel; Zhou Shi; Thorsten Behrens; Michael A. Chappell; Elisabeth N. Bui (Environ. Model. Softw., 2016)

4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines. - G. P. Ralli; Daniel R. McGowan; Michael A. Chappell; Ricky A. Sharma; Geoff S. Higgins; J. D. Fenwick (ISBI, 2017)

A Variational Bayesian inference method for parametric imaging of PET data. - Marco Castellaro; Gaia Rizzo; Matteo Tonietto; Mattia Veronese; Federico E. Turkheimer; Michael A. Chappell; Alessandra Bertoldo (NeuroImage, 2017)

A systematic study of the sensitivity of partial volume correction methods for the quantification of perfusion from pseudo-continuous arterial spin labeling MRI. - Moss Y. Zhao; Melvin Mezue; Andrew R. Segerdahl; Thomas W. Okell; Irene Tracey; Yingyi Xiao; Michael A. Chappell (NeuroImage, 2017)

Improving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data. - Hongfen Teng; Ziqiang Ma; Michael A. Chappell; Zhou Shi; Zongzheng Liang; Wu Yu (Remote. Sens., 2017)

A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. - Thais Roque; Laurent Risser; Veerle Kersemans; Sean Smart; Danny Allen; Paul Kinchesh; Stuart Gilchrist; Ana L. Gomes; Julia A. Schnabel; Michael A. Chappell (IEEE Trans. Medical Imaging, 2018)

ICA-based denoising for ASL perfusion imaging. - Dominic Carone; G. W. J. Harston; James Garrard; F. De Angeli; Ludovica Griffanti; Thomas W. Okell; Michael A. Chappell; James Kennedy (NeuroImage, 2019)

Model-based Bayesian inference of brain oxygenation using quantitative BOLD. - Matthew T. Cherukara; Alan J. Stone; Michael A. Chappell; Nicholas P. Blockley (NeuroImage, 2019)

Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework. - Antoine Saillant; Ian Armstrong; Vijay P. Shah; Sven Zühlsdorf; Charles Hayden; Jérôme Declerck; Kimberley Saint; Matthew Memmott; Mark Jenkinson; Michael A. Chappell (IEEE Trans. Medical Imaging, 2019)

The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes. - Michael A. Chappell; Mark W. Woolrich (CoRR, 2020)

Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow. - Joseph G. Woods; Michael A. Chappell; Thomas W. Okell (NeuroImage, 2020)

Toblerone: Surface-Based Partial Volume Estimation. - Thomas F. Kirk; Timothy S. Coalson; Martin S. Craig; Michael A. Chappell (IEEE Trans. Medical Imaging, 2020)

Partial volume correction in arterial spin labeling perfusion MRI: A method to disentangle anatomy from physiology or an analysis step too far? - Michael A. Chappell; Flora A. Kennedy McConnell; Xavier Golay; Matthias Günther; Juan Antonio Hernández Tamames; Matthias J. P. van Osch; Iris Asllani (NeuroImage, 2021)

Age-related normative changes in cerebral perfusion: Data from The Irish Longitudinal Study on Ageing (TILDA). - 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 (NeuroImage, 2021)

Unified Surface and Volumetric Inference on Functional Imaging Data. - Thomas F. Kirk; Martin S. Craig; Michael A. Chappell (MICCAI (8), 2023)

Segmentation method for cerebral blood vessels from MRA using hysteresis. - Georgia Kenyon; Stephan Lau; Michael A. Chappell; Mark Jenkinson (CoRR, 2023)

Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure. - Yechuan Zhang; Jian-Qing Zheng; Michael A. Chappell (IEEE Trans. Signal Process., 2024)