Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging. - Jurgen Fripp; Pierrick Bourgeat; Oscar Acosta; Parnesh Raniga; Marc Modat; Kerryn E. Pike; Gareth Jones 002; Graeme O'Keefe; Colin L. Masters; David Ames; Kathryn A. Ellis; Paul Maruff; et al. (NeuroImage, 2008)

Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease. - Piers Johnson; Luke Vandewater; William J. Wilson; Paul Maruff; Greg Savage; Petra Graham; Lance S. Macaulay; Kathryn A. Ellis; Cassandra Szoeke; Ralph N. Martins; Christopher Rowe; Colin L. Masters; et al. (BMC Bioinform., 2014)

Reliability and usability of an internet-based computerized cognitive testing battery in community-dwelling older people. - D. G. Darby; J. Fredrickson; Robert H. Pietrzak; Paul Maruff; M. Woodward; Amy Brodtmann (Comput. Hum. Behav., 2014)

The impact of task automaticity on speech in noise. - Adam P. Vogel; Janet Fletcher; Paul Maruff (Speech Commun., 2014)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. - Raymond Pomponio; Güray Erus; Mohamad Habes; Jimit Doshi; Dhivya Srinivasan; Elizabeth Mamourian; Vishnu Bashyam; Ilya M. Nasrallah; Theodore D. Satterthwaite; Yong Fan 001; Lenore J. Launer; Colin L. Masters; et al. (NeuroImage, 2020)

A Paradox in Digital Memory Assessment: Increased Sensitivity With Reduced Difficulty. - Joshua P. White; Adrian Schembri; Chris J. Edgar; Yen Ying Lim; Colin L. Masters; Paul Maruff (Frontiers Digit. Health, 2021)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. - Vikram Venkatraghavan; Damiano Archetti; Pierrick Bourgeat; Chenyang Jiang; Mara ten Kate; Anna Catharina van Loenhoud; Rik Ossenkoppele; Charlotte E. Teunissen; Elsmarieke van de Giessen; Yolande A. L. Pijnenburg; Giovanni B. Frisoni; Béla Weiss; et al. (NeuroImage, 2025)

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. - Colin Birkenbihl; Madison Cuppels; Rory T. Boyle; Hannah M. Klinger; Oliver Langford; Gillian T. Coughlan; Michael J. Properzi; Jasmeer P. Chhatwal; Julie C. Price; Aaron P. Schultz; Dorene M. Rentz; Rebecca E. Amariglio; et al. (Brain Informatics, 2025)