Structural Gray Matter Differences between First-Episode Schizophrenics and Normal Controls Using Voxel-Based Morphometry. - Dominic Edward Job; Heather C. Whalley; Daniel S. McConnell; Mike Glabus; Eve C. Johnstone; Stephen M. Lawrie (NeuroImage, 2002)

Voxel-based morphometry of comorbid schizophrenia and learning disability: analyses in normalized and native spaces using parametric and nonparametric statistical methods. - T. William J. Moorhead; Dominic Edward Job; Heather C. Whalley; Tracy L. Sanderson; Eve C. Johnstone; Stephen M. Lawrie (NeuroImage, 2004)

Grey matter changes over time in high risk subjects developing schizophrenia. - Dominic Edward Job; Heather C. Whalley; Eve C. Johnstone; Stephen M. Lawrie (NeuroImage, 2005)

Empirical comparison of maximal voxel and non-isotropic adjusted cluster extent results in a voxel-based morphometry study of comorbid learning disability with schizophrenia. - T. William J. Moorhead; Dominic Edward Job; Michael D. Spencer; Heather C. Whalley; Eve C. Johnstone; Stephen M. Lawrie (NeuroImage, 2005)

Learning Structural Equation Models for fMRI. - Amos J. Storkey; Enrico Simonotto; Heather Whalley; Stephen M. Lawrie; Lawrence Murray; David J. McGonigle (NIPS, 2006)

A visual joke fMRI investigation into Theory of Mind and enhanced risk of schizophrenia. - Dominic Marjoram; Dominic Edward Job; Heather C. Whalley; Viktoria-Eleni Gountouna; Andrew M. McIntosh; Enrico Simonotto; David G. C. Owens; Eve C. Johnstone; Stephen M. Lawrie (NeuroImage, 2006)

Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data. - T. William J. Moorhead; Viktoria-Eleni Gountouna; Dominic Job; Andrew M. McIntosh; Liana Romaniuk; G. Katherine S. Lymer; Heather Whalley; Gordon D. Waiter; David Brennan; Trevor S. Ahearn; Jonathan Cavanagh; Barrie Condon; et al. (BMC Medical Imaging, 2009)

Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. - Viktoria-Eleni Gountouna; Dominic Job; Andrew M. McIntosh; T. William J. Moorhead; G. Katherine S. Lymer; Heather Whalley; Jeremy Hall; Gordon D. Waiter; David Brennan; David J. McGonigle; Trevor S. Ahearn; Jonathan Cavanagh; et al. (NeuroImage, 2010)

The application of nonlinear Dynamic Causal Modelling for fMRI in subjects at high genetic risk of schizophrenia. - Maria R. Dauvermann; Heather C. Whalley; Liana Romaniuk; Vincent Valton; David G. C. Owens; Eve C. Johnstone; Stephen M. Lawrie; Thomas W. J. Moorhead (NeuroImage, 2013)

Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. - Clara Alloza; Simon R. Cox; Manuel Blesa Cabez; Paul Redmond; Heather Whalley; Stuart J. Ritchie; Susana Muñoz Maniega; Maria del C. Valdés Hernández; Elliot Tucker-Drob; Stephen M. Lawrie; Joanna M. Wardlaw; Ian J. Deary; et al. (NeuroImage, 2018)

Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. - Philip John Gorinski; Honghan Wu; Claire Grover; Richard Tobin; Conn Talbot; Heather Whalley; Cathie Sudlow; William Whiteley; Beatrice Alex (CoRR, 2019)

Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3, 152 participants. - Hon Wah Yeung; Saturnino Luz; Simon R. Cox; Colin R. Buchanan; Heather C. Whalley; Keith M. Smith (EMBC, 2020)

It's Not Just About Sad Songs: The Effect of Depression on Posting Lyrics and Quotes. - Lucia Lushi Chen; Walid Magdy; Heather Whalley; Maria Wolters (SocInfo, 2020)

Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptoms. - Lucia Lushi Chen; Walid Magdy; Heather Whalley; Maria Klara Wolters (WebSci, 2020)

The reporting quality of natural language processing studies: systematic review of studies of radiology reports. - Emma M. Davidson; Michael Tin Chung Poon; Arlene Casey; Andreas Grivas; Daniel Duma; Hang Dong 002; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu; Beatrice Alex; et al. (BMC Medical Imaging, 2021)

Comparison of rule-based and neural network models for negation detection in radiology reports. - D. Sykes; Andreas Grivas; Claire Grover; Richard Tobin; Cathie Sudlow; William Whiteley; Andrew M. McIntosh; Heather Whalley; Beatrice Alex (Nat. Lang. Eng., 2021)

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning. - Filippo Corponi; Bryan M. Li; Gerard Anmella; Clàudia Valenzuela-Pascual; Ariadna Mas; Isabella Pacchiarotti; Marc Valentí; Iria Grande; Antonio Benabarre; Marina Garriga; Eduard Vieta; Allan H. Young; et al. (CoRR, 2023)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. - Vladimir Belov; Tracy Erwin-Grabner; Ling-Li Zeng; Christopher R. K. Ching; André Aleman; Alyssa R. Amod; Zeynep Basgoze; Francesco Benedetti; Bianca Besteher; Katharina Brosch; Robin Bülow; Romain Colle; et al. (CoRR, 2023)

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. - Arlene Casey; Emma M. Davidson; Claire Grover; Richard Tobin; Andreas Grivas; Huayu Zhang; Patrick Schrempf; Alison Q. O'Neil; Liam Lee; Michael Walsh; Freya Pellie; Karen Ferguson; et al. (Frontiers Digit. Health, 2023)