Kristoffer H. Madsen
Orcid: 0000-0001-8606-7641Affiliations:
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre
According to our database1,
Kristoffer H. Madsen
authored at least 61 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on dl.acm.org
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Bibliography
2024
SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation.
CoRR, 2024
2023
Evaluating the influence of anatomical accuracy and electrode positions on EEG forward solutions.
NeuroImage, August, 2023
Dynamic involvement of premotor and supplementary motor areas in bimanual pinch force control.
NeuroImage, August, 2023
Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Mapping cortico-subcortical sensitivity to 4 Hz amplitude modulation depth in human auditory system with functional MRI.
NeuroImage, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
2021
PLoS Comput. Biol., 2021
NeuroImage, 2021
2020
Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation.
NeuroImage, 2020
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.
NeuroImage, 2020
2019
A principled approach to conductivity uncertainty analysis in electric field calculations.
NeuroImage, 2019
Accessibility of cortical regions to focal TES: Dependence on spatial position, safety, and practical constraints.
NeuroImage, 2019
Getting to grips with endoscopy - Learning endoscopic surgical skills induces bi-hemispheric plasticity of the grasping network.
NeuroImage, 2019
NeuroImage, 2019
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition.
Comput. Intell. Neurosci., 2019
2018
Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
NeuroImage, 2018
Testing group differences in state transition structure of dynamic functional connectivity models.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
How to target inter-regional phase synchronization with dual-site Transcranial Alternating Current Stimulation.
NeuroImage, 2017
Neural Comput., 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Chasing probabilities - Signaling negative and positive prediction errors across domains.
NeuroImage, 2016
Aberrant neural signatures of decision-making: Pathological gamblers display cortico-striatal hypersensitivity to extreme gambles.
NeuroImage, 2016
The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI.
Neural Comput., 2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
2014
Non-parametric Bayesian graph models reveal community structure in resting state fMRI.
NeuroImage, 2014
2012
Model sparsity and brain pattern interpretation of classification models in neuroimaging.
Pattern Recognit., 2012
Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation.
NeuroImage, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps.
Proceedings of the BIOSIGNALS 2012, 2012
2011
NeuroImage, 2011
Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Unified ICA-SPM Analysis of fMRI Experiments - Implementation of an ICA Graphical user Interface for the SPM Pipeline.
Proceedings of the BIOSIGNALS 2009, 2009
2008
NeuroImage, 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 14th European Signal Processing Conference, 2006