Tim Hahn

Orcid: 0000-0002-8929-4134

Affiliations:
  • Johann Wolfgang Goethe University, Department of Cognitive Psychology II, Frankfurt, Germany
  • University of Würzburg, Germany


According to our database1, Tim Hahn authored at least 30 papers between 2009 and 2024.

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Timeline

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Bibliography

2024
pyAKI - An Open Source Solution to Automated KDIGO classification.
CoRR, 2024

2023
Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach.
NeuroImage, November, 2023

GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating.
CoRR, 2023

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
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CoRR, 2023

Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.
CoRR, 2023

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling.
CoRR, 2023

2022
Recommendations for machine learning benchmarks in neuroimaging.
NeuroImage, 2022

2021
Towards a Network Control Theory of Electroconvulsive Therapy Response.
CoRR, 2021

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder.
CoRR, 2021

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder.
CoRR, 2021

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.
CoRR, 2021

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.
CoRR, 2021

2020
The PHOTON Wizard - Towards Educational Machine Learning Code Generators.
CoRR, 2020

PHOTON - A Python API for Rapid Machine Learning Model Development.
CoRR, 2020

The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.
NeuroImage, 2019

Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression.
CoRR, 2019

Biological sex classification with structural MRI data shows increased misclassification in transgender women.
CoRR, 2019

2017
Distributed patterns of occipito-parietal functional connectivity predict the precision of visual working memory.
NeuroImage, 2017

2015
Sparse network-based models for patient classification using fMRI.
NeuroImage, 2015

Reliance on functional resting-state network for stable task control predicts behavioral tendency for cooperation.
NeuroImage, 2015

2014
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging".
IEEE Trans. Medical Imaging, 2014

SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging.
IEEE Trans. Medical Imaging, 2014

2013
Variability of (functional) hemodynamics as measured with simultaneous fNIRS and fMRI during intertemporal choice.
NeuroImage, 2013

The tricks of the trait: Neural implementation of personality varies with genotype-dependent serotonin levels.
NeuroImage, 2013

2012
Randomness of resting-state brain oscillations encodes Gray's personality trait.
NeuroImage, 2012

2011
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.
NeuroImage, 2011

NOS1 ex1f-VNTR polymorphism influences prefrontal brain oxygenation during a working memory task.
NeuroImage, 2011

2010
Integrating neurobiological markers of depression: an fMRI-based pattern classification approach (Integration neurobiologischer Marker depressiver Erkrankungen mittels fMRT-basierter Musterklassifikation)
PhD thesis, 2010

2009
Neural response to reward anticipation is modulated by Gray's impulsivity.
NeuroImage, 2009


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