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2020 – today
- 2023
[j12]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, Vera Cvoro, Honghan Wu
, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex:
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health 5 (2023)- [i4]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, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari:
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning. CoRR abs/2311.04215 (2023) - [i3]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, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado:
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. CoRR abs/2311.11046 (2023) - 2021
- [j11]Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley:
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21(1): 142 (2021) - [j10]D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh, Heather Whalley, Beatrice Alex:
Comparison of rule-based and neural network models for negation detection in radiology reports. Nat. Lang. Eng. 27(2): 203-224 (2021) - 2020
- [c4]Hon Wah Yeung, Saturnino Luz, Simon R. Cox, Colin R. Buchanan, Heather C. Whalley, Keith M. Smith:
Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3, 152 participants. EMBC 2020: 1692-1695 - [c3]Lucia Lushi Chen, Walid Magdy, Heather Whalley, Maria Wolters:
It's Not Just About Sad Songs: The Effect of Depression on Posting Lyrics and Quotes. SocInfo 2020: 58-66 - [c2]Lucia Lushi Chen, Walid Magdy, Heather Whalley, Maria Klara Wolters:
Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptoms. WebSci 2020: 164-173 - [i2]Lucia Lushi Chen, Walid Magdy, Heather Whalley, Maria K. Wolters:
Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptoms. CoRR abs/2006.07887 (2020)
2010 – 2019
- 2019
- [i1]Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex:
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR abs/1903.03985 (2019) - 2018
- [j9]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, Mark E. Bastin:
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 183: 884-896 (2018) - 2013
- [j8]Maria R. Dauvermann, Heather C. Whalley, Liana Romaniuk, Vincent Valton, David G. C. Owens, Eve C. Johnstone, Stephen M. Lawrie, Thomas W. J. Moorhead:
The application of nonlinear Dynamic Causal Modelling for fMRI in subjects at high genetic risk of schizophrenia. NeuroImage 73: 16-29 (2013) - 2010
- [j7]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, Barrie Condon, Donald M. Hadley, Ian Marshall, Alison D. Murray, J. Douglas Steele, Joanna M. Wardlaw, Stephen M. Lawrie:
Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. NeuroImage 49(1): 552-560 (2010)
2000 – 2009
- 2009
- [j6]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, J. Douglas Steele, Joanna M. Wardlaw, Stephen M. Lawrie:
Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data. BMC Medical Imaging 9: 8 (2009) - 2006
- [j5]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:
A visual joke fMRI investigation into Theory of Mind and enhanced risk of schizophrenia. NeuroImage 31(4): 1850-1858 (2006) - [c1]Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen M. Lawrie, Lawrence Murray, David J. McGonigle:
Learning Structural Equation Models for fMRI. NIPS 2006: 1329-1336 - 2005
- [j4]Dominic Edward Job, Heather C. Whalley, Eve C. Johnstone, Stephen M. Lawrie:
Grey matter changes over time in high risk subjects developing schizophrenia. NeuroImage 25(4): 1023-1030 (2005) - [j3]T. William J. Moorhead, Dominic Edward Job, Michael D. Spencer, Heather C. Whalley, Eve C. Johnstone, Stephen M. Lawrie:
Empirical comparison of maximal voxel and non-isotropic adjusted cluster extent results in a voxel-based morphometry study of comorbid learning disability with schizophrenia. NeuroImage 28(3): 544-552 (2005) - 2004
- [j2]T. William J. Moorhead, Dominic Edward Job, Heather C. Whalley, Tracy L. Sanderson, Eve C. Johnstone, Stephen M. Lawrie:
Voxel-based morphometry of comorbid schizophrenia and learning disability: analyses in normalized and native spaces using parametric and nonparametric statistical methods. NeuroImage 22(1): 188-202 (2004) - 2002
- [j1]Dominic Edward Job, Heather C. Whalley, Daniel S. McConnell, Mike Glabus, Eve C. Johnstone, Stephen M. Lawrie:
Structural Gray Matter Differences between First-Episode Schizophrenics and Normal Controls Using Voxel-Based Morphometry. NeuroImage 17(2): 880-889 (2002)
Coauthor Index
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