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Life

Art

Science

Science is more than my profession, I want to bring tangible progress to the life of people with a mental disorder. Through a focus on individuals as opposed to the disorder as a category, I hope to reduce stigmatization and in the long run improve our capacity to treat mechanisms causing suffering. In doing so I apply and develop machine learning methods.

Recent Publication

In our recent article (Leonardsen et al. 2022, NeuroImage) estimate large scale machine learning models on more than 50.000 individuals and transfer those for predictions of different clinical groups.

Top-5 Publications

Wolfers, T., ..., Marquand, A. F. (2015). From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics. Neuroscience and Biobehavioral Reviews.

Wolfers, T., ..., Marquand, A.F. (2018). Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models. JAMA Psychiatry.

Wolfers, T., ..., Marquand, A.F. (2019). Individual differences v the average patient: mapping the heterogeneity in ADHD using normative models. Psychological Medicine.

Wolfers, T., ..., Westlye L.T. (2021). Replicating extensive brain structural heterogeneity in individuals with schizophrenia and bipolar disorder. Human Brain Mapping.

Leonardsen E., ..., Westlye L.T.#, Wolfers, T.#, Wang, Y.# (2022). Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage.

# shared last author

Check out my google scholar account here.

Work Opportunities

For work opportunities at all levels please check out our advertisements for the laboratory for Mental Health Mapping and visit our homepage by clicking here.

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