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.
Laboratory for Mental Health Mapping
The laboratory is located at the Department of Psychiatry @ The University Clinic in Tübingen.
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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.
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