Dimitrios Pantazis
Orcid: 0000-0001-8246-8878
According to our database1,
Dimitrios Pantazis
authored at least 50 papers
between 2003 and 2023.
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Bibliography
2023
Predicting electrical power consumption of end milling using a virtual machining energy toolkit (V_MET).
Comput. Ind., September, 2023
A design of experiments Cyber-Physical System for energy modelling and optimisation in end-milling machining.
Robotics Comput. Integr. Manuf., 2023
2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.
IEEE Trans. Biomed. Eng., 2021
How expectations of pain elicited by consciously and unconsciously perceived cues unfold over time.
NeuroImage, 2021
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex.
NeuroImage, 2021
2020
A new Graph Gaussian embedding method for analyzing the effects of cognitive training.
PLoS Comput. Biol., 2020
A cyber physical system for tool condition monitoring using electrical power and a mechanistic model.
Comput. Ind., 2020
2018
NeuroImage, 2018
Tracking the Spatiotemporal Neural Dynamics of Real-world Object Size and Animacy in the Human Brain.
J. Cogn. Neurosci., 2018
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Multivariate pattern analysis of MEG and EEG: A comparison of representational structure in time and space.
NeuroImage, 2017
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
NeuroImage, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition.
CoRR, 2016
2015
Can visual information encoded in cortical columns be decoded from magnetoencephalography data in humans?
NeuroImage, 2015
2014
NeuroImage, 2014
2013
Adv. Hum. Comput. Interact., 2013
Modularity gradients: Measuring the contribution of edges to the community structure of a brain network.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Parametric distributions for assessing significance in modular partitions of brain networks.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Phase synchrony in multivariate Gaussian data with applications to cortical networks.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Comput. Intell. Neurosci., 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Comparison of landmark-based and automatic methods for cortical surface registration.
NeuroImage, 2010
NeuroImage, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
IEEE Trans. Medical Imaging, 2009
A novel ANCOVA design for analysis of MEG data with application to a visual attention study.
NeuroImage, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2007
Statistical group differences in anatomical shape analysis using Hotelling T2 metric.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Exploring Human Visual Attention in an Meg Study of a Spatial Cueing Paradigm Using a Novel Ancova Design.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
IEEE Trans. Biomed. Eng., 2006
2005
A comparison of random field theory and permutation methods for the statistical analysis of MEG data.
NeuroImage, 2005
NeuroImage, 2005
Proceedings of the Computational Imaging III, San Jose, 2005
2004
Medical Image Anal., 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
Spatiotemporal Localization of Significant Activation in MEG Using Permutation Tests.
Proceedings of the Information Processing in Medical Imaging, 2003