User profiles for M. Zervakis

Michalis Zervakis

Technical University of Crete
Verified email at display.tuc.gr
Cited by 7846

[HTML][HTML] Review on solving the inverse problem in EEG source analysis

…, J Muscat, KP Camilleri, SG Fabri, M Zervakis… - … of neuroengineering and …, 2008 - Springer
… where M is the matrix of data measurements at different times m(r, t) and D is the matrix of …
given the electrode positions and scalp readings M and using the gain matrix G calculated in …

AI in medical imaging informatics: current challenges and future directions

…, KS Nikita, BP Veasey, M Zervakis… - IEEE journal of …, 2020 - ieeexplore.ieee.org
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging
informatics, discusses clinical translation, and provides future directions for advancing …

[HTML][HTML] Towards smart farming: Systems, frameworks and exploitation of multiple sources

A Lytos, T Lagkas, P Sarigiannidis, M Zervakis… - Computer Networks, 2020 - Elsevier
Agriculture is by its nature a complicated scientific field, related to a wide range of expertise,
skills, methods and processes which can be effectively supported by computerized systems. …

A survey on industrial vision systems, applications and tools

EN Malamas, EGM Petrakis, M Zervakis, L Petit… - Image and vision …, 2003 - Elsevier
The state of the art in machine vision inspection and a critical overview of real-world
applications are presented in this paper. Two independent ways to classify applications are …

A survey of video processing techniques for traffic applications

V Kastrinaki, M Zervakis, K Kalaitzakis - Image and vision computing, 2003 - Elsevier
Video sensors become particularly important in traffic applications mainly due to their fast
response, easy installation, operation and maintenance, and their ability to monitor wide areas. …

Small-world networks and disturbed functional connectivity in schizophrenia

…, P Bitsios, M Vourkas, S Erimaki, M Zervakis - Schizophrenia …, 2006 - Elsevier
Disturbances in “functional connectivity” have been proposed as a major pathophysiological
mechanism for schizophrenia, and in particular, for cognitive disorganization. Detection and …

A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals

ΚΜ Tsiouris, VC Pezoulas, M Zervakis… - Computers in biology …, 2018 - Elsevier
The electroencephalogram (EEG) is the most prominent means to study epilepsy and capture
changes in electrical brain activity that could declare an imminent seizure. In this work, …

Detection and segmentation of drusen deposits on human retina: Potential in the diagnosis of age-related macular degeneration

K Rapantzikos, M Zervakis, K Balas - Medical image analysis, 2003 - Elsevier
Assessment of the risk for the development of age-related macular degeneration requires
reliable detection and quantitative mapping of retinal abnormalities that are considered as …

Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction

SK Goumas, ME Zervakis… - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
Wavelets provide a powerful tool for nonstationary signal analysis. In vibration monitoring, the
occurrence of occasional transient disturbances makes the recorded signal nonstationary, …

[HTML][HTML] Inter-subject variability of skull conductivity and thickness in calibrated realistic head models

…, S Schrader, Ü Aydin, A Khan, J Gross, M Zervakis… - Neuroimage, 2020 - Elsevier
… /m (9.36 mS/m) and the highest at 16.9 mS/m (60.84 mS/m), respectively. In Figure 4, the
age-related color coding of the curves shows that the calibration skull conductivity values of the …