V. Matic

发表

Line length as a robust method to detect high-activity events: Automated burst detection in premature EEG recordings

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2014, Clinical Neurophysiology.

Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study

S. Van Huffel, M. de Vos, P. Cherian, 2018, Pediatrics and neonatology.

Improvement and Validation of an Automated Neonatal Seizure Detector

Sabine Van Huffel, Maarten De Vos, W. Deburchgraeve, 2011, BIOSIGNALS.

Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor

Marina De Vos, P. J. Cherian, S. Van Huffel, 2016, Clinical Neurophysiology.

Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2016, IEEE Transactions on Biomedical Engineering.

Improvement of an automated neonatal seizure detector using a post-processing technique

Sabine Van Huffel, Maarten De Vos, P. J. Cherian, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach

Sabine Van Huffel, Michel Verleysen, Maarten De Vos, 2015, BIOSIGNALS.

Heart rate variability in newborns with hypoxic brain injury.

Sabine Van Huffel, Katrien Jansen, Gunnar Naulaers, 2013, Advances in experimental medicine and biology.

Multi-structural Signal Recovery for Biomedical Compressive Sensing

Sabine Van Huffel, Maarten De Vos, Yuqian Li, 2013, IEEE Transactions on Biomedical Engineering.

Independent component analysis as a preprocessing step for data compression of neonatal EEG

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis

Sabine Van Huffel, Sampsa Vanhatalo, Vladimir Matic, 2015, Front. Hum. Neurosci..

Interhemispheric synchrony in the neonatal EEG revisited: activation synchrony index as a promising classifier

Sabine Van Huffel, Sampsa Vanhatalo, Okko Räsänen, 2014, Front. Hum. Neurosci..

Early development of synchrony in cortical activations in the human

Marina De Vos, S. Van Huffel, A. Dereymaeker, 2016, Neuroscience.

Automated artifact removal as preprocessing refines neonatal seizure detection

M. De Vos, W. Deburchgraeve, P. J. Cherian, 2011, Clinical Neurophysiology.

Comparison of ICA algorithms for ECG artifact removal from EEG signals

Sabine Van Huffel, W. Deburchgraeve, Vladimir Matic, 2009 .

Multi-sparse signal recovery for compressive sensing

Sabine Van Huffel, Maarten De Vos, Yipeng Liu, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Possibilities of Sustainable Airport Business

Ivana D. Đerić, Marina Marjanovic, A. Njeguš, 2020, Proceedings of the Singidunum International Tourism Conference - Sitcon 2020.

Effective Diagnosis of Heart Disease Presence Using Artificial Neural Networks

Sandra Cako, Angelina Njeguš, Vladimir Matić, 2017 .

Holistic approach for automated background EEG assessment in asphyxiated full-term infants

Sabine Van Huffel, Vladimir Matic, Gunnar Naulaers, 2014, Journal of neural engineering.