Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process. - Sylvain Prima; Nicholas Ayache; Tom Barrick; Neil Roberts (MICCAI, 2001)

Voxel-Based Morphometric Comparison of Hippocampal and Extrahippocampal Abnormalities in Patients with Left and Right Hippocampal Atrophy. - Simon S. Keller; Clare E. Mackay; Thomas R. Barrick; Udo C. Wieshmann; Matthew Howard 002; Neil Roberts (NeuroImage, 2002)

Voxel-Based Morphometry Reveals Increased Gray Matter Density in Broca's Area in Male Symphony Orchestra Musicians. - Vanessa Sluming; Thomas R. Barrick; Matthew Howard 002; Enis Cezayirli; Andrew Mayes; Neil Roberts (NeuroImage, 2002)

White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning? - Chris A. Clark; Thomas R. Barrick; Mary M. Murphy; B. Anthony Bell (NeuroImage, 2003)

Singularities in diffusion tensor fields and their relevance in white matter fiber tractography. - Thomas R. Barrick; Chris A. Clark (NeuroImage, 2004)

Automatic analysis of cerebral asymmetry: an exploratory study of the relationship between brain torque and planum temporale asymmetry. - Thomas R. Barrick; Clare E. Mackay; Sylvain Prima; Frederik Maes; Dirk Vandermeulen; Timothy J. Crow; Neil Roberts (NeuroImage, 2005)

Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults. - Qiyong Gong; Vanessa Sluming; Andrew Mayes; Simon S. Keller; Thomas R. Barrick; Enis Cezayirli; Neil Roberts (NeuroImage, 2005)

Corpus callosum damage in heavy marijuana use: Preliminary evidence from diffusion tensor tractography and tract-based spatial statistics. - Danilo Arnone; Thomas R. Barrick; S. Chengappa; Clare E. Mackay; Chris A. Clark; Mohammed T. Abou-Saleh (NeuroImage, 2008)

Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. - I. Nigel C. Lawes; Thomas R. Barrick; Vengadasalam Murugam; Natalia Spierings; David R. Evans 002; Marie Song; Chris A. Clark (NeuroImage, 2008)

White matter structural decline in normal ageing: A prospective longitudinal study using tract-based spatial statistics. - Thomas R. Barrick; Rebecca A. Charlton; Chris A. Clark; Hugh S. Markus (NeuroImage, 2010)

Classification of brain tumour 1H MR spectra: Extracting features by metabolite quantification or nonlinear manifold learning? - Guang Yang 006; Felix Raschke; Thomas R. Barrick; Franklyn A. Howe (ISBI, 2014)

Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy. - Guang Yang 006; Tahir Nawaz 002; Thomas R. Barrick; Franklyn A. Howe; Gregory G. Slabaugh (IEEE Trans. Biomed. Eng., 2015)

Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI. - Mohammadreza Soltaninejad; Guang Yang 006; Tryphon Lambrou; Nigel M. Allinson; Timothy L. Jones; Thomas R. Barrick; Franklyn A. Howe; Xujiong Ye (Int. J. Comput. Assist. Radiol. Surg., 2017)

Defining thalamic nuclei and topographic connectivity gradients in vivo. - Christian Lambert; Henry Simon; Jordan Colman; Thomas R. Barrick (NeuroImage, 2017)

Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#. - Mohammadreza Soltaninejad; Guang Yang 006; Tryphon Lambrou; Nigel M. Allinson; Timothy L. Jones; Thomas R. Barrick; Franklyn A. Howe; Xujiong Ye (Comput. Methods Programs Biomed., 2018)

Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. - Thomas R. Barrick; Catherine A. Spilling; Carson Ingo; Jeremy Madigan; Jeremy D. Isaacs; Philip Rich; Timothy L. Jones; Richard L. Magin; Matt G. Hall; Franklyn A. Howe (NeuroImage, 2020)

A Comparison of Connected Speech Tasks for Detecting Early Alzheimer's Disease and Mild Cognitive Impairment Using Natural Language Processing and Machine Learning. - Natasha Clarke; Thomas R. Barrick; Peter Garrard (Frontiers Comput. Sci., 2021)