Publications

Zheng YQ. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14228 LNCS, 176 - 185

Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes

Roibu A-C. et al, (2023), 2023 10TH IEEE SWISS CONFERENCE ON DATA SCIENCE, SDS, 17 - 25

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Bass C. et al, (2022), IEEE Trans Med Imaging, PP

Supervised Phenotype Discovery from Multimodal Brain Imaging.

Gong W. et al, (2022), IEEE transactions on medical imaging, PP

Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.

Zheng Y-Q. et al, (2022), Neuroimage, 259

Challenges for machine learning in clinical translation of big data imaging studies

Dinsdale NK. et al, (2022), Neuron

Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study

Duff E. et al, (2022), PLOS ONE, 17, e0273704 - e0273704

Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans

Klein-Flügge MC. et al, (2022), Nature Human Behaviour

Adapting UK Biobank imaging for use in a routine memory clinic setting: the Oxford Brain Health Clinic

Griffanti L. et al, (2022)

Deep neural networks learn general and clinically relevant representations of the ageing brain

Leonardsen EH. et al, (2022), NeuroImage, 256, 119210 - 119210

Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effects

Topiwala A. et al, (2022), Molecular Psychiatry

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Publications