M
Michalis Zervakis
Researcher at Technical University of Crete
Publications - 93
Citations - 3439
Michalis Zervakis is an academic researcher from Technical University of Crete. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 21, co-authored 75 publications receiving 2696 citations. Previous affiliations of Michalis Zervakis include University of Crete & University of Minnesota.
Papers
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Journal ArticleDOI
Review on solving the inverse problem in EEG source analysis
Roberta Grech,Tracey A. Cassar,Joseph Muscat,Kenneth P. Camilleri,Simon G. Fabri,Michalis Zervakis,Petros Xanthopoulos,Vangelis Sakkalis,Bart Vanrumste +8 more
TL;DR: The Monte-Carlo analysis performed, comparing WMN, LORETA, sLorETA and SLF, for different noise levels and different simulated source depths has shown that for single source localization, regularized sLORETA gives the best solution in terms of both localization error and ghost sources.
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A survey on industrial vision systems, applications and tools
TL;DR: The state of the art in machine vision inspection and a critical overview of real-world applications are presented and two independent ways to classify applications are proposed.
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A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.
Κostas Μ. Tsiouris,Vasileios C. Pezoulas,Michalis Zervakis,Spiros Konitsiotis,Dimitrios Koutsouris,Dimitrios I. Fotiadis +5 more
TL;DR: The proposed LSTM-based methodology delivers a significant increase in seizure prediction performance compared to both traditional machine learning techniques and convolutional neural networks that have been previously evaluated in the literature.
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AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides,Amir A. Amini,Nenad Filipovic,Ashish Sharma,Sotirios A. Tsaftaris,Alistair A. Young,David J. Foran,Nhan Do,Spyretta Golemati,Tahsin Kurc,Kun Huang,Konstantina S. Nikita,Ben P. Veasey,Michalis Zervakis,Joel H. Saltz,Constantinos S. Pattichis +15 more
TL;DR: Integrative analytics approaches driven by associate research branches highlighted in this study promise to revolutionize imaging informatics as known today across the healthcare continuum for both radiology and digital pathology applications.
Journal ArticleDOI
Detection and segmentation of drusen deposits on human retina: potential in the diagnosis of age-related macular degeneration.
TL;DR: A novel segmentation technique, the histogram-based adaptive local thresholding (HALT), which extracts the useful information from an image without being affected by the presence of other structures, is developed, which indicates that the proposed drusen detector gives reliable detection accuracy in both position and mass size.