Michael A. Chappell

Orcid: 0000-0003-1802-4214

According to our database1, Michael A. Chappell authored at least 34 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure.
IEEE Trans. Signal Process., 2024

2023
Segmentation method for cerebral blood vessels from MRA using hysteresis.
CoRR, 2023

Unified Surface and Volumetric Inference on Functional Imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Partial volume correction in arterial spin labeling perfusion MRI: A method to disentangle anatomy from physiology or an analysis step too far?
NeuroImage, 2021

2020
Toblerone: Surface-Based Partial Volume Estimation.
IEEE Trans. Medical Imaging, 2020

Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow.
NeuroImage, 2020

The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes.
CoRR, 2020

2019
Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework.
IEEE Trans. Medical Imaging, 2019

Model-based Bayesian inference of brain oxygenation using quantitative BOLD.
NeuroImage, 2019

ICA-based denoising for ASL perfusion imaging.
NeuroImage, 2019

2018
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth.
IEEE Trans. Medical Imaging, 2018

2017
Improving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data.
Remote. Sens., 2017

A systematic study of the sensitivity of partial volume correction methods for the quantification of perfusion from pseudo-continuous arterial spin labeling MRI.
NeuroImage, 2017

A Variational Bayesian inference method for parametric imaging of PET data.
NeuroImage, 2017

4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia.
Environ. Model. Softw., 2016

A DCE-MRI imaging-based model for simulation of vascular tumour growth.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Quantification of errors in cerebral blood flow measurements due to dispersion in arterial spin labelling.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Effects of background suppression on the sensitivity of dual-echo arterial spin labeling MRI for BOLD and CBF signal changes.
NeuroImage, 2014

A New Similarity Metric for Groupwise Registration of Variable Flip Angle Sequences for Improved T 10 Estimation in DCE-MRI.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI.
NeuroImage, 2013

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., 2013

The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Quantitative measurement of cerebral physiology using respiratory-calibrated MRI.
NeuroImage, 2012

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., 2012

2009
Variational Bayesian Inference for a Nonlinear Forward Model.
IEEE Trans. Signal Process., 2009

Modeling the Effects of Flow Dispersion in Arterial Spin Labeling.
IEEE Trans. Biomed. Eng., 2009

Bayesian analysis of neuroimaging data in FSL.
NeuroImage, 2009

Combined spatial and non-spatial prior for inference on MRI time-series.
NeuroImage, 2009

Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2007
Modeling the Detachment and Transport of Bubbles From Nucleation Sites in Small Vessels.
IEEE Trans. Biomed. Eng., 2007


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