Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression. - Claas Flint; Micah Cearns; Nils Opel; Ronny Redlich; David M. A. Mehler; Daniel Emden; Nils R. Winter; Ramona Leenings; Simon B. Eickhoff; Tilo Kircher; Axel Krug; Igor Nenadic; et al. (CoRR, 2019)

PHOTON - A Python API for Rapid Machine Learning Model Development. - Ramona Leenings; Nils Ralf Winter; Lucas Plagwitz; Vincent Holstein; Jan Ernsting; Jakob Steenweg; Julian Gebker; Kelvin Sarink; Daniel Emden; Dominik Grotegerd; Nils Opel; Benjamin Risse; et al. (CoRR, 2020)

The PHOTON Wizard - Towards Educational Machine Learning Code Generators. - Ramona Leenings; Nils Ralf Winter; Kelvin Sarink; Jan Ernsting; Xiaoyi Jiang 001; Udo Dannlowski; Tim Hahn (CoRR, 2020)

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)

Recommendations for machine learning benchmarks in neuroimaging. - Ramona Leenings; Nils R. Winter; Udo Dannlowski; Tim Hahn (NeuroImage, 2022)

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)

C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal Ultrasound. - Ramona Leenings; Maximilian Konowski; Nils R. Winter; Jan Ernsting; Lukas Fisch; Carlotta B. C. Barkhau; Udo Dannlowski; Andreas Lügering; Xiaoyi Jiang 001; Tim Hahn (ASMUS@MICCAI, 2024)

GateNet: A novel neural network architecture for automated flow cytometry gating. - Lukas Fisch; Michael O. Heming; Andreas Schulte-Mecklenbeck; Catharina C. Gross; Stefan Zumdick; Carlotta B. C. Barkhau; Daniel Emden; Jan Ernsting; Ramona Leenings; Kelvin Sarink; Nils R. Winter; Udo Dannlowski; et al. (Comput. Biol. Medicine, 2024)

deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. - Lukas Fisch; Stefan Zumdick; Carlotta B. C. Barkhau; Daniel Emden; Jan Ernsting; Ramona Leenings; Kelvin Sarink; Nils R. Winter; Benjamin Risse; Udo Dannlowski; Tim Hahn (Comput. Biol. Medicine, 2024)

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)

Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders. - Kevin Hilbert; Joscha Böhnlein; Charlotte Meinke; Alice V. Chavanne; Till Langhammer; Lara Stumpe; Nils R. Winter; Ramona Leenings; Dirk Adolph; Volker Arolt; Sophie Bischoff; Jan C. Cwik; et al. (NeuroImage, 2024)