activity
20202023
most citedPHOTONAI -- A Python API for Rapid Machine Learning Model Development

35 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 3 cited

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling

Jan Ernsting, Nils R. Winter, Ramona Leenings +13

The brain-age gap is one of the most investigated risk markers for brain changes across disorders. While the field is progressing towards large-scale models, recently incorporating…

eess.SY2021★ 4 cited

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder

Tim Hahn, Hamidreza Jamalabadi, Daniel Emden +31

Background: The evolution of symptoms over time is at the heart of understanding and treating mental disorders. However, a principled, quantitative framework explaining symptom dyn…

q-bio.NC2021★ 1 cited

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder

Tim Hahn, Nils R. Winter, Jan Ernsting +27

Background: A therapeutic intervention in psychiatry can be viewed as an attempt to influence the brain's large-scale, dynamic network state transitions underlying cognition and be…

cs.LG2021★ 1 cited

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling

Tim Hahn, Jan Ernsting, Nils R. Winter +31

The deviation between chronological age and age predicted from neuroimaging data has been identified as a sensitive risk-marker of cross-disorder brain changes, growing into a corn…

eess.IV2021★ 9 cited

Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks

Lukas Fisch, Jan Ernsting, Nils R. Winter +33

Age prediction based on Magnetic Resonance Imaging (MRI) data of the brain is a biomarker to quantify the progress of brain diseases and aging. Current approaches rely on preparing…

cs.LG2020★ 35 cited

PHOTONAI -- A Python API for Rapid Machine Learning Model Development

Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz +12

PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development. It functions as a unifying framework allowing the user to easily access…