Paschalis A. Bizopoulos

Orcid: 0000-0001-7659-2354

According to our database1, Paschalis A. Bizopoulos authored at least 12 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Sparsely Activated Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

2019
Deep Learning in Cardiology.
CoRR, 2019

The "Prisoner's Dilemma" in the Tumor Biology Context: The Warburg Effect, Proliferation Dynamics and Equilibria.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Simulation of a Cellular Automaton with Markov Chains: Applications in Self-Organized Dynamical Systems.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Signal2Image Modules in Deep Neural Networks for EEG Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016
3-D registration on carotid artery imaging data: MRI for different timesteps.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Prediction of atheromatic plaque evolution in carotids using features extracted from the arterial geometry.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Randomly generated realistic vessel geometry using spline interpolation and 2D Perlin noise.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
An automatic electroencephalography blinking artefact detection and removal method based on template matching and ensemble empirical mode decomposition.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Denoising simulated EEG signals: A comparative study of EMD, wavelet transform and Kalman filter.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

EEG epileptic seizure detection using k-means clustering and marginal spectrum based on ensemble empirical mode decomposition.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013


  Loading...