Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks. - Lukas Fisch; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; Dominik Grotegerd; et al. (CoRR, 2021)

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. - Tim Hahn; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Lukas Fisch; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; et al. (CoRR, 2021)

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder. - Tim Hahn; Nils R. Winter; Jan Ernsting; Marius Gruber; Marco J. Mauritz; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Julian Blanke; Vincent Holstein; Daniel Emden; Marie Beisemann; et al. (CoRR, 2021)

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. - Tim Hahn; Hamidreza Jamalabadi; Daniel Emden; Janik Goltermann; Jan Ernsting; Nils R. Winter; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Vincent Holstein; Marius Gruber; Dominik Grotegerd; et al. (CoRR, 2021)

Towards a Network Control Theory of Electroconvulsive Therapy Response. - Tim Hahn; Hamidreza Jamalabadi; Erfan Nozari; Nils R. Winter; Jan Ernsting; Marius Gruber; Marco J. Mauritz; Pascal Grumbach; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Julian Blanke; et al. (CoRR, 2021)

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling. - Jan Ernsting; Nils R. Winter; Ramona Leenings; Kelvin Sarink; Carlotta B. C. Barkhau; Lukas Fisch; Daniel Emden; Vincent Holstein; Jonathan Repple; Dominik Grotegerd; Susanne Meinert; NAKO Investigators; et al. (CoRR, 2023)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. - Vladimir Belov; Tracy Erwin-Grabner; Ling-Li Zeng; Christopher R. K. Ching; André Aleman; Alyssa R. Amod; Zeynep Basgoze; Francesco Benedetti; Bianca Besteher; Katharina Brosch; Robin Bülow; Romain Colle; et al. (CoRR, 2023)

Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach. - Julia-Katharina Pfarr; Tina Meller; Katharina Brosch; Frederike Stein; Florian Thomas-Odenthal; Ulrika Evermann; Adrian Wroblewski; Kai Gustav Ringwald; Tim Hahn; Susanne Meinert; Alexandra Winter; Katharina Thiel; et al. (NeuroImage, 2023)

deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks. - Lukas Fisch; Nils R. Winter; Janik Goltermann; Carlotta B. C. Barkhau; Daniel Emden; Jan Ernsting; Maximilian Konowski; Ramona Leenings; Tiana Borgers; Kira Flinkenflügel; Dominik Grotegerd; Anna Kraus; et al. (CoRR, 2024)