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Publications

Premorbid brain structure influences risk of amyotrophic lateral sclerosis.

Thompson AG. et al, (2023), J Neurol Neurosurg Psychiatry

Genetic architecture of brain age and its casual relations with brain and mental disorders.

Leonardsen EH. et al, (2023), Mol Psychiatry

Telomere length and brain imaging phenotypes in UK Biobank

Topiwala A. et al, (2023), PLOS ONE, 18, e0282363 - e0282363

Genetic architecture of brain age and its casual relations with brain and mental disorders

Leonardsen EH. et al, (2023)

Genetic architecture of brain age and its casual relations with brain and mental disorders

Wang Y. et al, (2023)

Amplitudes of resting-state functional networks - investigation into their correlates and biophysical properties.

Lee S. et al, (2023), Neuroimage, 265

Deep learning of causal structures in high dimensions under data limitations

Lagemann K. et al, (2023), Nature Machine Intelligence

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

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

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

Causal Inference on Neuroimaging Data with Mendelian Randomisation

TASCHLER B. et al, (2022), NeuroImage

SARS-CoV-2 is associated with changes in brain structure in UK Biobank

Douaud G. et al, (2022), Nature, 604, 697 - 707

Causal Inference on Neuroimaging Data with Mendelian Randomisation

Taschler B. et al, (2022)

Alcohol consumption and telomere length: observational and Mendelian randomization approaches

Topiwala A. et al, (2021)

SARS-CoV-2 is associated with changes in brain structure in UK Biobank

Douaud G. et al, (2021)

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Warnat-Herresthal S. et al, (2020), iScience, 23, 100780 - 100780

MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry

Bendfeldt K. et al, (2019), Brain Imaging and Behavior, 13, 1361 - 1374

Ancestral causal learning in high dimensions with a human genome-wide application

Noè U. et al, (2019)

Model-based clustering in very high dimensions via adaptive projections

Taschler B. et al, (2019)

Diagnostic value of blood gene expression-based classifiers as exemplified for acute myeloid leukemia

Warnat-Herresthal S. et al, (2018)

Classifying individuals at high-risk for psychosis based on functional brain activity during working memory processing

Bendfeldt K. et al, (2015), NeuroImage: Clinical, 9, 555 - 563

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