Patterns of Regional Brain Hypometabolism Associated with Knowledge of Semantic Features and Categories in Alzheimer's Disease. - Roland Zahn; Peter Garrard; Jochen Talazko; Matthias Gondan; Philine Bubrowski; Freimut Juengling; Helen Slawik; Petra Dykierek; Bernd Koester; Michael Hull (J. Cogn. Neurosci., 2006)

Techniques for transcribers: assessing and improving consistency in transcripts of spoken language. - Peter Garrard; Anne-Marie Haigh; Celeste de Jager (Lit. Linguistic Comput., 2011)

Language as a Window into the Brain and its Pathologies. - Peter Garrard; Peter beim Graben; Brita Elvevåg; Eduardo Mizraji; Juan C. Valle-Lisboa (CogSci, 2013)

Motif discovery in speech: application to monitoring Alzheimer's disease. - Dragana Nikolic; Anna Barney; Vanda Nemes; Peter Garrard (IWBBIO, 2014)

iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. - Anastasia Krithara; Fotis Aisopos; Vassiliki Rentoumi; Anastasios Nentidis; Konstantinos Bougiatiotis; Maria-Esther Vidal; Ernestina Menasalvas; Alejandro Rodríguez González; Eleftherios Samaras; Peter Garrard; Maria Torrente; Mariano Provencio Pulla; et al. (CBMS, 2019)

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)

Improving Early Prognosis of Dementia Using Machine Learning Methods. - Georgios Katsimpras; Fotis Aisopos; Peter Garrard; Maria-Esther Vidal; Georgios Paliouras (ACM Trans. Comput. Heal., 2022)

Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records. - Akhilesh Vyas; Fotis Aisopos; Maria-Esther Vidal; Peter Garrard; Georgios Paliouras (BMC Medical Informatics Decis. Mak., 2022)