Danilo Bzdok
Orcid: 0000-0003-3466-6620Affiliations:
- RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Germany
According to our database1,
Danilo Bzdok
authored at least 40 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study.
NeuroImage, July, 2023
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity.
NeuroImage, June, 2023
Expert Syst. Appl., May, 2023
NeuroImage, April, 2023
2022
From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning.
Neural Networks, 2022
2021
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
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
2019
NeuroImage, 2019
CoRR, 2019
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
2017
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
NeuroImage, 2017
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
2016
PhD thesis, 2016
PLoS Comput. Biol., 2016
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.
NeuroImage, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
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
2012
2011
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.
NeuroImage, 2011