Danilo Bzdok

  • RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Germany

According to our database1, Danilo Bzdok authored at least 35 papers between 2011 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning.
Neural Networks, 2022

Representational Ethical Model Calibration.
CoRR, 2022

Orientation and Context Entangled Network for Retinal Vessel Segmentation.
CoRR, 2022

The meaning of significant mean group differences for biomarker discovery.
PLoS Comput. Biol., 2021

Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function.
NeuroImage, 2021

Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction.
CoRR, 2021

Inference and Prediction Diverge in Biomedicine.
Patterns, 2020

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
NeuroImage, 2020

Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity.
NeuroImage, 2020

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage, 2020

Distinct functional roles of the mirror neuron system and the mentalizing system.
NeuroImage, 2019

Towards algorithmic analytics for large-scale datasets.
Nat. Mach. Intell., 2019

Clusters in Explanation Space: Inferring disease subtypes from model explanations.
CoRR, 2019

Atlases of cognition with large-scale human brain mapping.
PLoS Comput. Biol., 2018

Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.
NeuroImage, 2018

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis.
CoRR, 2018

Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour.
NeuroImage, 2017

Joint prediction of multiple scores captures better individual traits from brain images.
NeuroImage, 2017

Inference in the age of big data: Future perspectives on neuroscience.
NeuroImage, 2017

Learning Neural Representations of Human Cognition across Many fMRI Studies.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.
Proceedings of the Information Processing in Medical Imaging, 2017

Approach to semi-automatic labeling of video sequences for affective computing-enabling the comprehensive assessment of emotion detection software from mimics.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Statistical Learning of Biological Structure in Human Brain Imaging.
PhD thesis, 2016

Formal Models of the Network Co-occurrence Underlying Mental Operations.
PLoS Comput. Biol., 2016

ANIMA: A data-sharing initiative for neuroimaging meta-analyses.
NeuroImage, 2016

Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.
NeuroImage, 2016

Co-activation based parcellation of the human frontal pole.
NeuroImage, 2015

Subspecialization in the human posterior medial cortex.
NeuroImage, 2015

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Networks of task co-activations.
NeuroImage, 2013

Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding.
NeuroImage, 2013

Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal Junction.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Activation likelihood estimation meta-analysis revisited.
NeuroImage, 2012

Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.
NeuroImage, 2011