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2020 – today
- 2024
[e1]Richard Chbeir
, Djamal Benslimane, Michalis E. Zervakis, Yannis Manolopoulos, Ngoc Thanh Nguyen, Joe Tekli:
Management of Digital EcoSystems - 15th International Conference, MEDES 2023, Heraklion, Crete, Greece, May 5-7, 2023, Revised Selected Papers. Communications in Computer and Information Science 2022, Springer 2024, ISBN 978-3-031-51642-9 [contents]- 2023
- [j60]Nicholas John Simos, Katina Manolitsi, Andrea I. Luppi, Antonios Kagialis, Marios Antonakakis, Michalis E. Zervakis, Despina Antypa, Eleftherios Kavroulakis, Thomas G. Maris, Antonios Vakis, Emmanuel A. Stamatakis, Efrosini Papadaki:
Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion. Neuroinformatics 21(2): 427-442 (2023) - [j59]Antonios Vogiatzis, Stavros Orfanoudakis, Georgios Chalkiadakis, Konstantia Moirogiorgou, Michalis E. Zervakis:
Novel Meta-Learning Techniques for the Multiclass Image Classification Problem. Sensors 23(1): 9 (2023) - [j58]Aikaterini Tsellou, George Livanos, Dimitris Ramnalis, Vasilis Polychronos, Georgios Plokamakis, Michalis E. Zervakis, Konstantia Moirogiorgou:
A UAV Intelligent System for Greek Power Lines Monitoring. Sensors 23(20): 8441 (2023) - [c100]Puranjay Mishra, Marios Antonakakis, Koushlendra Kumar Singh, Michalis E. Zervakis:
Colour Prediction using Vision Transformer and Continous Wavelet Transform on EEG signals. BIBE 2023: 181-186 - [c99]Apostolos Karasmanoglou, Marios Antonakakis, Michalis E. Zervakis:
Unsupervised Detection of Seizure-Related Dynamic Alterations with Autoencoder-Derived Deep Features. BIBE 2023: 195-200 - [c98]Thanos Delatolas, Marios Antonakakis, Carsten H. Wolters, Michalis E. Zervakis:
EEG Source Analysis with a Convolutional Neural Network and Finite Element Analysis. EMBC 2023: 1-4 - [c97]Ioannis Torakis, Marios Antonakakis, Ekaterini S. Bei, Petros Gikas, Vangelis Sakkalis, Michalis E. Zervakis:
Design of a Multi-Feature Classification Scheme for Infant Epileptic Seizures. EMBC 2023: 1-4 - [c96]Maria Papadogiorgaki, Konstantinos Apostolidis, George Livanos, Ekaterini S. Bei, Stylianos Zafeiris, Georgios A. Klados, Vasileios Mezaris, Michalis E. Zervakis:
A Content Recommendation Platform for People with Intellectual Disability. ICUFN 2023: 49-54 - [c95]Marios Antonakakis, Christos Trimas, Michalis E. Zervakis:
A Two-Phase ResNet for Object Detection in Aerial Images. IST 2023: 1-5 - [c94]Georgios Tzedakis, Eleftheria Tzamali, Emmanouil G. Spanakis, Marios Antonakakis, Michalis E. Zervakis, Vangelis Sakkalis:
Comparing YOLO-based Detectors for Pedestrian and Car Detection in Aerial Static Video: An Evaluation of Generalization Capacity and Performance. IST 2023: 1-5 - [c93]Emmanouil E. Zachariadis, Marios Antonakakis, Michalis E. Zervakis:
Wildforest Fire Detection with ShRe-Xception Network on Aerial Optical and Infrared Images. IST 2023: 1-6 - 2022
- [j57]Nikolaos G. Bourbakis, Kostas Michalopoulos, Marios Antonakakis, Michael E. Zervakis:
A New Multi-Resolution Approach to EEG Brain Modeling Using Local-Global Graphs and Stochastic Petri-Nets. Int. J. Neural Syst. 32(5): 2250006:1-2250006:19 (2022) - [c92]Tsakaneli Stavroula, Ekaterini S. Bei, Michalis E. Zervakis:
Tsakaneli Stavroula. BHI 2022: 1-5 - [c91]Marios Antonakakis, Aimilios Tzavaras, Konstantinos Tsakos, Emmanouil G. Spanakis, Vangelis Sakkalis, Michalis E. Zervakis, Euripides G. M. Petrakis:
Real-Time Object Detection using an Ultra-High-Resolution Camera on Embedded Systems. IST 2022: 1-6 - [c90]Apostolos Karasmanoglou, Marios Antonakakis, Michalis E. Zervakis:
Heatmap-based Explanation of YOLOv5 Object Detection with Layer-wise Relevance Propagation. IST 2022: 1-6 - [c89]Konstantia Moirogiorgou, Freiderikos Raptopoulos, George Livanos, Stavros Orfanoudakis, Maria Papadogiorgaki, Michalis E. Zervakis, Michail Maniadakis:
Intelligent robotic system for urban waste recycling. IST 2022: 1-6 - [c88]Anastasios Papanastasiou, Effrosyni Doutsi, Michalis E. Zervakis, Panagiotis Tsakalides:
Neuro-inspired Image Compression Architectures. IST 2022: 1-3 - [c87]Aikaterini Tsellou, Konstantia Moirogiorgou, Georgios Plokamakis, George Livanos, Kostas Kalaitzakis, Michalis E. Zervakis:
Aerial video inspection of Greek power lines structures using machine learning techniques. IST 2022: 1-6 - [c86]Athina Grammatikopoulou, Nikos Grammalidis, Maria Papadogiorgaki, Michalis E. Zervakis:
A platform for health emergency warning and wandering behaviour detection supporting people with Intellectual Disability. PETRA 2022: 694-699 - 2021
- [c85]Marios Antonakakis, Konstantinos Politof, Georgios A. Klados, Glykeria Sdoukopoulou, Sophia Schiza, Maria Papadogiorgaki, Christina Farmaki, Matthew Pediaditis, Michalis E. Zervakis, Vangelis Sakkalis:
A New Multi-Feature Classification Scheme for Normal and Abnormal Respiratory Sounds Discrimination. BIBE 2021: 1-6 - [c84]Maria Papadogiorgaki, Maria Venianaki, Paulos Charonyktakis, Marios Antonakakis, Ioannis Tsamardinos, Michalis E. Zervakis, Vangelis Sakkalis:
Heart Rate Classification Using ECG Signal Processing and Machine Learning Methods. BIBE 2021: 1-6 - [c83]Glykeria Sdoukopoulou, Marios Antonakakis, Gabriel Modde, Carsten H. Wolters, Michalis E. Zervakis:
Interictal Spike Classification in Pharmacoresistant Epilepsy using Combined EEG and MEG. BIBE 2021: 1-6 - [c82]Theofilos Zacheilas, Konstantia Moirogiorgou, Nikos Papandroulakis, Euripides Sotiriades, Michalis E. Zervakis, Apostolos Dollas:
An FPGA-Based System for Video Processing to Detect Holes in Aquaculture Nets. BIBE 2021: 1-6 - [c81]Georgios A. Klados, Konstantinos Politof, Ekaterini S. Bei, Konstantia Moirogiorgou, Nikolaos Anousakis-Vlachochristou, George K. Matsopoulos, Michalis E. Zervakis:
Machine Learning Model for Predicting CVD Risk on NHANES Data. EMBC 2021: 1749-1752 - [c80]Katerina Giannakaki, Konstantia Moirogiorgou, Michalis E. Zervakis, Nikolaos Anousakis-Vlachochristou, George K. Matsopoulos, Christoforos Komporozos, Vasileios Sourides, Georgios Katsimagklis, Maria Drakopoulou, Konstantinos Toutouzas, Catherine Avgeropoulou, Aristeidis Androulakis:
Automatic aortic valve area detection in echocardiography images using convolutional neural networks and U-net architecture for bicuspid aortic valve recognition. IST 2021: 1-6 - [c79]Antonios Vogiatzis, Georgios Chalkiadakis, Konstantia Moirogiorgou, George Livanos, Maria Papadogiorgaki, Michael E. Zervakis:
Dual-Branch CNN for the Identification of Recyclable Materials. IST 2021: 1-6 - [c78]Antonios Vogiatzis, Georgios Chalkiadakis, Konstantia Moirogiorgou, Michalis E. Zervakis:
A Novel One-vs-Rest Classification Framework for Mutually Supported Decisions by Independent Parallel Classifiers. IST 2021: 1-6 - [c77]Olympia Giannakopoulou, Petros Toumpaniaris, Ioannis N. Kouris, Konstantia Moirogiorgou, Nansy Karanasiou, Vasiliki Aisopou, George K. Matsopoulos, Ageliki Chandrinou, Nikolaos Anousakis-Vlachochristou, Fotis Psarros, Pantelis Syringas, Vasiliki Karalidou, Nikolaos Costaridis, Michalis E. Zervakis, Dimitris Koutsouris:
A Platform for Health Record Management of the Conscripts in the Hellenic Navy. MIE 2021: 362-366 - [c76]Konstantinos Politof, Marios Antonakakis, Andreas Wollbrink, Carsten H. Wolters, Michalis E. Zervakis:
Reconstruction of the Very Early Thalamo-Cortical Network with Combined EEG and MEG on Realistic Head Modeling. NER 2021: 371-374 - 2020
- [j56]Anastasios Lytos, Thomas Lagkas, Panagiotis G. Sarigiannidis, Michael E. Zervakis, George Livanos:
Towards smart farming: Systems, frameworks and exploitation of multiple sources. Comput. Networks 172: 107147 (2020) - [j55]Stavros Paspalakis, Konstantia Moirogiorgou, Nikos Papandroulakis, George C. Giakos, Michalis E. Zervakis:
Automated fish cage net inspection using image processing techniques. IET Image Process. 14(10): 2028-2034 (2020) - [j54]Marios Antonakakis, Sophie Schrader, Ümit Aydin, Asad Khan, Joachim Gross, Michalis E. Zervakis, Stefan Rampp, Carsten H. Wolters:
Inter-Subject Variability of Skull Conductivity and Thickness in Calibrated Realistic Head Models. NeuroImage 223: 117353 (2020) - [j53]Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - [c75]Georgios Livanos, Dimitris Ramnalis, Vasilis Polychronos, Panagiota Balomenou, Panagiotis G. Sarigiannidis, Giorgos Kakamoukas, Thomi Karamitsou, Pantelis Angelidis, Michalis E. Zervakis:
Extraction of Reflectance Maps for Smart Farming Applications Using Unmanned Aerial Vehicles. CSNDSP 2020: 1-6 - [c74]Maria Papadogiorgaki, Vasileios Mezaris, Nikos Grammalidis, Kostas Grigoriadis, Ekaterini S. Bei, George Livanos, Michalis E. Zervakis:
Quality of life support system for people with intellectual disability. PETRA 2020: 36:1-36:6
2010 – 2019
- 2019
- [j52]Ioanna Vourlaki, Costas Balas, George Livanos, Manos Vardoulakis, George C. Giakos, Michalis E. Zervakis:
Bootstrap clustering approaches for organization of data: Application in improving grade separability in cervical neoplasia. Biomed. Signal Process. Control. 49: 263-273 (2019) - [j51]Marios Antonakakis, Stavros I. Dimitriadis, Michalis E. Zervakis, Andrew C. Papanicolaou, George Zouridakis:
Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury. Frontiers Comput. Neurosci. 13: 90 (2019) - [j50]Vasileios C. Pezoulas, Kostas Michalopoulos, Manousos A. Klados, Sifis Micheloyannis, Nikolaos G. Bourbakis, Michalis E. Zervakis:
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering. IEEE J. Biomed. Health Informatics 23(4): 1710-1719 (2019) - [c73]Konstantinos Politof, Marios Antonakakis, Andreas Wollbrink, Michalis E. Zervakis, Carsten H. Wolters:
Effective Connectivity in the Primary Somatosensory Network using Combined EEG and MEG. BIBE 2019: 593-597 - [c72]Georgios A. Klados, Michalis E. Zervakis, Rosalía Dacosta-Aguayo, Antonio Fratini, Manousos A. Klados:
Towards a Novel Way to Predict Deficits After a Brain Lesion: A Stroke Example. BIBE 2019: 737-741 - [c71]George Kallergis, Stelios Sfakianakis, Michael E. Zervakis, Marios Spanakis:
Drugs with SMILES Similar to Coxibs. BIBE 2019: 822-826 - [c70]Vasileios S. Dimakopoulos, Marios Antonakakis, Gabriel Moeddel, Jörg Wellmer, Stefan Rampp, Michalis E. Zervakis, Carsten H. Wolters:
Combined EEG/MEG Source Reconstruction of Epileptic Activity using a Two-Phase Spike Clustering Approach. BIBE 2019: 877-881 - [c69]Katerina Giannakaki, Giorgos A. Giannakakis, Pelagia Vorgia, Manousos A. Klados, Michalis E. Zervakis:
Automatic Absence Seizure Detection Evaluating Matching Pursuit Features of EEG Signals. BIBE 2019: 886-889 - [c68]Giorgos A. Giannakakis, Nikolaos Tsekos, Katerina Giannakaki, Kostas Michalopoulos, Pelagia Vorgia, Michalis E. Zervakis:
Seizure Detection using Common Spatial Patterns and Classification Techniques. BIBE 2019: 890-893 - [c67]Giorgos Kakamoukas, Panayiotis Sariciannidis, Georgios Livanos, Michael E. Zervakis, Dimitris Ramnalis, Vasilis Polychronos, Thomi Karamitsou, A. Folinas, N. Tsitsiokas:
A Multi-collective, IoT-enabled, Adaptive Smart Farming Architecture. IST 2019: 1-6 - 2018
- [j49]Suman Shrestha, Aditi Deshpande, Tannaz Farrahi, Thomas Cambria, Tri Quang, Joseph Majeski, Ying Na, Michalis E. Zervakis, Georgios Livanos, George C. Giakos:
Label-free discrimination of lung cancer cells through mueller matrix decomposition of diffuse reflectance imaging. Biomed. Signal Process. Control. 40: 505-518 (2018) - [j48]Kostas M. Tsiouris, Vasileios C. Pezoulas, Michalis E. Zervakis, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Comput. Biol. Medicine 99: 24-37 (2018) - [j47]Konstantinos Bacharidis, Froso Sarri, Vassilis Paravolidakis, Lemonia Ragia, Michalis E. Zervakis:
Fusing Georeferenced and Stereoscopic Image Data for 3D Building Façade Reconstruction. ISPRS Int. J. Geo Inf. 7(4): 151 (2018) - [j46]Maria Papadogiorgaki, Panagiotis Koliou, Michalis E. Zervakis:
Glioma growth modeling based on the effect of vital nutrients and metabolic products. Medical Biol. Eng. Comput. 56(9): 1683-1697 (2018) - [j45]Konstantinos Bacharidis, Konstantia Moirogiorgou, Georgia Koukiou, George C. Giakos, Michalis E. Zervakis:
Stereo System for Remote Monitoring of River Flows. Multim. Tools Appl. 77(8): 9535-9566 (2018) - [j44]Nikolaos-Kosmas Chlis, Ekaterini S. Bei, Michalis E. Zervakis:
Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 181-190 (2018) - [j43]Jie Liang, Michalis E. Zervakis, Julien Penders:
Guest Editorial IEEE BHI 2017. IEEE J. Biomed. Health Informatics 22(2): 300 (2018) - [c66]Vasileios C. Pezoulas, Alkinoos Athanasiou, Guido Nolte, Michalis E. Zervakis, Antonio Fratini, Dimitrios I. Fotiadis, Manousos A. Klados:
FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. BHI 2018: 96-99 - [c65]George C. Giakos, Tannaz Farrahi, Nicolas Douard, Michael Surovich, Suman Shrestha, Gloria Bauman, Anthony Beninati, Hussam Eldin Mohamed, Zoe Giakos, Ying Na, Michalis E. Zervakis, George Livanos:
Integration of Bioinspired Vision Principles Towards the Design of Autonomous Guidance, Navigation, and Control Systems. IISA 2018: 1-8 - [c64]Anthony Beninati, Nicolas Douard, Gloria Bauman, Jonathan Hoogerhyde, Anargiros Passalaris, Zoe Giakos, Martin Nowak, Suman Shrestha, Hussam Eldin Mohamed, Michalis E. Zervakis, Georgios Livanos, George C. Giakos:
Space Target Motion Salient Classification using Polarimetric Retina Vision Sensing Principles. IST 2018: 1-5 - [c63]George Livanos, Michalis E. Zervakis, Vaggelis Chalkiadakis, Konstantia Moirogiorgou, George C. Giakos, Nikos Papandroulakis:
Intelligent Navigation and Control of a Prototype Autonomous Underwater Vehicle for Automated Inspection of Aquaculture net pen cages. IST 2018: 1-6 - [c62]Filippos Markolefas, Konstantia Moirogiorgou, George C. Giakos, Michalis E. Zervakis:
Virtual Video Synthesis for Personalized Training. IST 2018: 1-6 - [c61]Eleftheria Sergaki, Georgios Spiliotis, Ioannis O. Vardiambasis, Theodoros Kapetanakis, Antonios Krasoudakis, George C. Giakos, Michalis E. Zervakis, Alexios Polydorou:
Application of ANN and ANFIS for detection of brain tumors in MRIs by using DWT and GLCM texture analysis. IST 2018: 1-6 - [c60]Alexandros Zormpas, Konstantia Moirogiorgou, Kostas Kalaitzakis, George A. Plokamakis, Panayotis Partsinevelos, George C. Giakos, Michalis E. Zervakis:
Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV). IST 2018: 1-5 - 2017
- [c59]Kostas M. Tsiouris, Vasileios C. Pezoulas, Dimitrios D. Koutsouris, Michalis E. Zervakis, Dimitrios I. Fotiadis:
Discrimination of Preictal and Interictal Brain States from Long-Term EEG Data. CBMS 2017: 318-323 - [c58]Dimitrios Apostolos Chalepakis Ntellis, Ekaterini S. Bei, Dimitris Kafetzopoulos, Michalis E. Zervakis:
Assembly of Gene Expression Networks Based on a Breast Cancer Signature. IWBBIO (2) 2017: 62-73 - 2016
- [j42]Kostas Michalopoulos, Michalis E. Zervakis, Marie-Pierre Deiber, Nikolaos G. Bourbakis:
Classification of EEG Single Trial Microstates Using Local Global Graphs and Discrete Hidden Markov Models. Int. J. Neural Syst. 26(6): 1650036:1-1650036:14 (2016) - [j41]Lefteris Koumakis, Alexandros Kanterakis, Evgenia Kartsaki, Maria Chatzimina, Michalis E. Zervakis, Manolis Tsiknakis, Despoina Vassou, Dimitris Kafetzopoulos, Kostas Marias, Vassilis Moustakis, George Potamias:
MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways. PLoS Comput. Biol. 12(11) (2016) - [j40]Konstantinos Karalas, Grigorios Tsagkatakis, Michael E. Zervakis, Panagiotis Tsakalides:
Land Classification Using Remotely Sensed Data: Going Multilabel. IEEE Trans. Geosci. Remote. Sens. 54(6): 3548-3563 (2016) - [c57]Androniki Alevyzaki, Stelios Sfakianakis, Ekaterini S. Bei, Eva Obermayr, Robert Zeillinger, Dimitrios I. Fotiadis, Michalis E. Zervakis:
Biclustering strategies for genetic marker selection in gynecologic tumor cell lines. EMBC 2016: 1430-1433 - [c56]Marios Antonakakis, Stavros I. Dimitriadis, Michalis E. Zervakis, Andrew C. Papanicolaou, George Zouridakis:
Mining cross-frequency coupling microstates from resting state MEG: An application to mild traumatic brain injury. EMBC 2016: 5513-5516 - [c55]Lemonia Ragia, Vassilis Paravolidakis, Konstantia Moirogiorgou, Michalis E. Zervakis:
Automated Waterline Extraction for Optimal Land Use - A Case Study in Crete. GISTAM 2016: 99-104 - [c54]Konstantinos Bacharidis, Lemonia Ragia, Marios Politis, Konstantia Moirogiorgou, Michalis E. Zervakis:
3D Building Reconstruction using Stereo Camera and Edge Detection. VISIGRAPP (4: VISAPP) 2016: 715-724 - 2015
- [j39]Lefteris Koumakis, Kamana Sigdel, George Potamias, Stelios Sfakianakis, Jasper van Leeuwen, George Zacharioudakis, Vassilis Moustakis, Michalis E. Zervakis, Anca I. D. Bucur, Kostas Marias, Norbert M. Graf, Manolis Tsiknakis:
Bridging miRNAs and pathway analysis in clinical decision support: a case study in nephroblastoma. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 30 (2015) - [j38]Maria Papadogiorgaki, Michail G. Kounelakis, Panagiotis Koliou, Michalis E. Zervakis:
A Glycolysis-Based In Silico Model for the Solid Tumor Growth. IEEE J. Biomed. Health Informatics 19(3): 1106-1117 (2015) - [c53]Athanasios N. Papadopoulos, Kostas M. Tsiouris, Ioannis G. Pappas, Michael E. Zervakis, Dimitrios D. Koutsouris, Themis P. Exarchos, Dimitrios I. Fotiadis:
Design and implementation of processes for the primary care in the healthcare system of Greece. BIBE 2015: 1-4 - [c52]Nikolaos-Kosmas Chlis, Ekaterini S. Bei, Konstantia Moirogiorgou, Michalis E. Zervakis:
Extracting reliable gene expression signatures through Stable Bootstrap Validation. EMBC 2015: 4458-4461 - [c51]Stelios Sfakianakis, Ekaterini S. Bei, Michalis E. Zervakis, Dimitris Kafetzopoulos:
A network-based approach to enrich gene signatures for the prediction of breast cancer metastases. EMBC 2015: 6497-6500 - [c50]Marios Antonakakis, Stavros I. Dimitriadis, Michalis E. Zervakis, Roozbeh Rezaie, Abbas Babajani-Feremi, Sifis Micheloyannis, George Zouridakis, Andrew C. Papanicolaou:
Comparison of brain network models using cross-frequency coupling and attack strategies. EMBC 2015: 7426-7429 - 2014
- [j37]K. D. Kalantzaki, Ekaterini S. Bei, Konstantinos P. Exarchos, Michalis E. Zervakis, Minos N. Garofalakis, Dimitrios I. Fotiadis:
Nonparametric Network Design and Analysis of Disease Genes in Oral Cancer Progression. IEEE J. Biomed. Health Informatics 18(2): 562-573 (2014) - [j36]Stelios Sfakianakis, Ekaterini S. Bei, Michalis E. Zervakis, Despoina Vassou, Dimitris Kafetzopoulos:
On the Identification of Circulating Tumor Cells in Breast Cancer. IEEE J. Biomed. Health Informatics 18(3): 773-782 (2014) - [j35]Georgia Skreti, Ekaterini S. Bei, K. D. Kalantzaki, Michalis E. Zervakis:
Temporal and Spatial Patterns of Gene Profiles during Chondrogenic Differentiation. IEEE J. Biomed. Health Informatics 18(3): 799-809 (2014) - [c49]Lefteris Koumakis, George Potamias, Stelios Sfakianakis, Vassilis Moustakis, Michalis E. Zervakis, Norbert M. Graf, Manolis Tsiknakis:
miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains. BIBE 2014: 179-184 - [c48]Petros Toumpaniaris, Dimitris Verganelakis, Nikos Spanoudakis, Michalis E. Zervakis:
Intelligent Management of Brain Markers for Early Prognosis of the Spatiotemporal Growth of Gliomas. ICTAI 2014: 647-651 - [c47]Marios Antonakakis, Michalis E. Zervakis, Vaso Tsirka, Sifis Micheloyannis:
A Minimal Spanning Tree Analysis of EEG Responses to Complex Visual Stimuli. ICTAI 2014: 652-656 - [c46]Petros-Fotios Alvanitopoulos, Ioannis Andreadis, Nikolaos Georgoulas, Michalis E. Zervakis, Nikolaos Nikolaidis:
Solar Radiation Time-Series Prediction Based on Empirical Mode Decomposition and Artificial Neural Networks. AIAI 2014: 447-455 - [c45]Konstantia Moirogiorgou, Michalis E. Zervakis, Andreas E. Savakis, Ioannis Sibetheros:
Statistical Estimation of Fluid Flow: An Image Restoration Approach. ISVC (1) 2014: 162-171 - 2013
- [j34]Michail G. Kounelakis, Ekaterini S. Bei, Michalis E. Zervakis, Georgios C. Giakos, Lin Zhang, Chaya Narayan, Dimitris Kafetzopoulos:
Measurement Methodologies for Assessing the Glycolysis Effect in the Discrimination and Therapy of Brain Gliomas. Int. J. Monit. Surveillance Technol. Res. 1(1): 34-55 (2013) - [j33]Michail G. Kounelakis, Michalis E. Zervakis, George C. Giakos, Geert J. Postma, Lutgarde M. C. Buydens, X. Kotsiakis:
On the Relevance of Glycolysis Process on Brain Gliomas. IEEE J. Biomed. Health Informatics 17(1): 128-135 (2013) - [c44]Marios Antonakakis, Giorgos A. Giannakakis, Manolis Tsiknakis, Sifis Micheloyannis, Michalis E. Zervakis:
Synchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficulties. BIBE 2013: 1-5 - [c43]Nikolaos-Kosmas Chlis, Stelios Sfakianakis, Ekaterini S. Bei, Michalis E. Zervakis:
A generic framework for the elicitation of stable and reliable gene expression signatures. BIBE 2013: 1-6 - [c42]K. D. Kalantzaki, Lefteris Koumakis, Ekaterini S. Bei, Michalis E. Zervakis, George Potamias, Dimitris Kafetzopoulos:
Experimental model construction and validation of the ErbB signaling pathway. BIBE 2013: 1-4 - [c41]Georgia S. Karanasiou, Antonios I. Sakellarios, Evanthia E. Tripoliti, Euripides G. M. Petrakis, Michalis E. Zervakis, Francesco Migliavacca, Gabriele Dubini, Elena Dordoni, Lampros K. Michalis, Dimitrios I. Fotiadis:
Modeling stent deployment in realistic arterial segment geometries: The effect of the plaque composition. BIBE 2013: 1-4 - [c40]Michail G. Kounelakis, Maria Papadogiorgaki, Michalis E. Zervakis:
An in-silico model for solid tumor growth based on the concept of glycolysis. BIBE 2013: 1-4 - [c39]K. D. Kalantzaki, Ekaterini S. Bei, Konstantinos P. Exarchos, Michael E. Zervakis, Dimitrios I. Fotiadis, Minos N. Garofalakis:
Indentification of altered MET network in oral cancer progression based on nonparametric network design. EMBC 2013: 575-578 - [c38]Christos Stentoumis, Georgios Livanos, Anastasios D. Doulamis, Eftychios Protopapadakis, Lazaros Grammatikopoulos, Michael E. Zervakis:
Precise 3D Reconstruction of Cultural Objects Using Combined Multi-component Image Matching and Active Contours Segmentation. ISVC (2) 2013: 148-157 - 2012
- [j32]Alexandros Roniotis, Georgios C. Manikis, Vangelis Sakkalis, Michalis E. Zervakis, Ioannis Karatzanis, Kostas Marias:
High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases. IEEE Trans. Inf. Technol. Biomed. 16(2): 255-263 (2012) - [j31]Alexandros Roniotis, Vangelis Sakkalis, Ioannis Karatzanis, Michalis E. Zervakis, Kostas Marias:
In-Depth Analysis and Evaluation of Diffusive Glioma Models. IEEE Trans. Inf. Technol. Biomed. 16(3): 299-307 (2012) - [c37]Kostas Michalopoulos, Michalis E. Zervakis, Nikolaos G. Bourbakis, Panteleimon Giannakopoulos, Marie-Pierre Deiber:
Decomposition and evaluation of activity in multiple event-related trials. BIBE 2012: 374-379 - [c36]K. D. Kalantzaki, Ekaterini S. Bei, Minos N. Garofalakis, Michalis E. Zervakis:
Biological interaction networks based on sparse temporal expansion of graphical models. BIBE 2012: 460-465 - [c35]T. Vigdideli, Ekaterini S. Bei, Michael E. Zervakis, Dimitris Kafetzopoulos:
Influence of algorithmic parameters on marker selection in genomic datasets. BIBE 2012: 523-528 - [c34]Georgia Skreti, Ekaterini S. Bei, Michalis E. Zervakis:
Shape-influenced clustering of dynamic patterns of gene profiles. EMBC 2012: 1238-1241 - [c33]Alexandros Roniotis, Vangelis Sakkalis, Eleftheria Tzamali, Georgios Tzedakis, Michalis E. Zervakis, Kostas Marias:
Solving the PIHNA model while accounting for radiotherapy. IARWISOI 2012: 1-4 - [c32]Lefteris Koumakis, Vassilis Moustakis, Michalis E. Zervakis, Dimitris Kafetzopoulos, George Potamias:
Coupling Regulatory Networks and Microarays: Revealing Molecular Regulations of Breast Cancer Treatment Responses. SETN 2012: 239-246 - 2011
- [j30]Michalis E. Blazadonakis, Michalis E. Zervakis, Dimitris Kafetzopoulos:
Integration of gene signatures using biological knowledge. Artif. Intell. Medicine 53(1): 57-71 (2011) - [j29]Ioannis N. Dimou, Ioannis Tsougos, Evaggelia E. Tsolaki, Evanthia Kousi, Eftychia E. Kapsalaki, Kyriaki Theodorou, Michail G. Kounelakis, Michalis E. Zervakis:
Brain lesion classification using 3T MRS spectra and paired SVM kernels. Biomed. Signal Process. Control. 6(3): 314-320 (2011) - [j28]Michalis E. Blazadonakis, Michalis E. Zervakis, Dimitris Kafetzopoulos:
Complementary Gene Signature Integration in Multiplatform Microarray Experiments. IEEE Trans. Inf. Technol. Biomed. 15(1): 155-163 (2011) - [j27]Michail G. Kounelakis, Ioannis N. Dimou, Michael E. Zervakis, Ioannis Tsougos, Evangelia E. Tsolaki, Evanthia Kousi, Eftychia E. Kapsalaki, Kyriaki Theodorou:
Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification. IEEE Trans. Inf. Technol. Biomed. 15(4): 647-654 (2011) - [j26]Georgia Tsiliki, Michalis E. Zervakis, Marina Ioannou, Elias Sanidas, Efstathios Stathopoulos, George Potamias, Manolis Tsiknakis, Dimitris Kafetzopoulos:
Multi-platform Data Integration in Microarray Analysis. IEEE Trans. Inf. Technol. Biomed. 15(6): 806-812 (2011) - [c31]Foivos Gypas, Ekaterini S. Bei, Michalis E. Zervakis, Stelios Sfakianakis:
A disease annotation study of gene signatures in a breast cancer microarray dataset. EMBC 2011: 5551-5554 - 2010
- [j25]Stefanos Goumas, Ioannis N. Dimou, Michalis E. Zervakis:
Combination of multiple classifiers for post-placement quality inspection of components: A comparative study. Inf. Fusion 11(2): 149-162 (2010) - [j24]George C. Giakos, S. Atreya Paturi, Keerthisrivatsav Valluru, P. Bathini, V. Adya, Srinivas Sukumar, K. Ambadipudi, B. Mandadi, M. Becker, S. Athawale, P. Farajipour, S. Marotta, Daniel B. Sheffer, Georgios Livanos, Michalis E. Zervakis:
Efficient Molecular Imaging Techniques Using Optically Active Molecules. IEEE Trans. Instrum. Meas. 59(11): 2877-2886 (2010)
2000 – 2009
- 2009
- [j23]Michalis E. Zervakis, Michalis E. Blazadonakis, Georgia Tsiliki, Vasiliki Danilatou, Manolis Tsiknakis, Dimitris Kafetzopoulos:
Outcome prediction based on microarray analysis: a critical perspective on methods. BMC Bioinform. 10 (2009) - [j22]Ioannis N. Dimou, Michalis E. Zervakis:
Error bounds of decision templates and support vector machines in decision fusion. Int. J. Knowl. Eng. Soft Data Paradigms 1(3): 227-238 (2009) - [j21]Vangelis Sakkalis, Ciprian Doru Giurcaneanu, Petros Xanthopoulos, Michalis E. Zervakis, Vassilis Tsiaras, Yinghua Yang, Eleni Karakonstantaki, Sifis Micheloyannis:
Assessment of Linear and Nonlinear Synchronization Measures for Analyzing EEG in a Mild Epileptic Paradigm. IEEE Trans. Inf. Technol. Biomed. 13(4): 433-441 (2009) - [c30]Vasiliki Iordanidou, Kostas Michalopoulos, Vangelis Sakkalis, Michalis E. Zervakis:
Decomposition Methods for Detailed Analysis of Content in ERP Recordings. ICANN (2) 2009: 368-377 - [p3]Georgios C. Manikis, Michail G. Kounelakis, Michalis E. Zervakis:
Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis. Computational Intelligence and Bioengineering 2009: 69-80 - [p2]Emmanuel C. Ifeachor, Pin Hu, Lingfen Sun, Nigel R. Hudson, Michalis E. Zervakis:
Bioprofiling over Grid for Personalised eHealthcare for AD. Computational Intelligence and Bioengineering 2009: 155-165 - 2008
- [j20]Michalis E. Blazadonakis, Michalis E. Zervakis:
Wrapper filtering criteria via linear neuron and kernel approaches. Comput. Biol. Medicine 38(8): 894-912 (2008) - [j19]Vangelis Sakkalis, Tracey Cassar, Michalis E. Zervakis, Kenneth P. Camilleri, Simon G. Fabri, Cristin Bigan, Eleni Karakonstantaki, Sifis Micheloyannis:
Parametric and Nonparametric EEG Analysis for the Evaluation of EEG Activity in Young Children with Controlled Epilepsy. Comput. Intell. Neurosci. 2008 (2008) - [j18]Michalis E. Blazadonakis, Michalis E. Zervakis:
The linear neuron as marker selector and clinical predictor in cancer gene analysis. Comput. Methods Programs Biomed. 91(1): 22-35 (2008) - [c29]Michail G. Kounelakis, Michalis E. Zervakis, Michalis E. Blazadonakis, Geert J. Postma, Lutgarde M. C. Buydens, Arend Heerschap, X. Kotsiakis:
Identification of significant metabolic markers from MRSI data for brain cancer classification. BIBE 2008: 1-6 - [c28]Michalis E. Zervakis, Michalis E. Blazadonakis, A. Banti, Dimitris Kafetzopoulos, Vasiliki Danilatou, Manolis Tsiknakis:
Performance validation of microarray analysis methods. BIBE 2008: 1-6 - [c27]Michalis E. Blazadonakis, Michalis E. Zervakis:
Revealing Significant Biological Knowledge via Gene Ontologies and Pathways. BMEI (1) 2008: 169-172 - [c26]Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis:
Multiple description based image transmission with Low Density Parity Check codes. ICIP 2008: 2040-2043 - [c25]Ioannis N. Dimou, Michalis E. Zervakis:
Support Vector Machines versus Decision Templates in Biomedical Decision Fusion. ICMLA 2008: 625-630 - [p1]Michalis E. Blazadonakis, Michalis E. Zervakis:
Support Vector Machines and Neural Networks as Marker Selectors in Cancer Gene Analysis. Intelligent Techniques and Tools for Novel System Architectures 2008: 237-258 - 2007
- [c24]Michalis E. Blazadonakis, Michalis E. Zervakis:
Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study. ICMLA 2007: 488-493 - 2006
- [c23]Zacharias Gketsis, Dimitrios Tzagkas, Petros V. Hatzilias, Michalis E. Zervakis:
Laparoscopic Image Analysis for Robotic Arm Guidance. EMBC 2006: 148-151 - [c22]Petros Xanthopoulos, Spyretta Golemati, Vangelis Sakkalis, Periklis Y. Ktonas, Michalis E. Zervakis, Constantin R. Soldatos:
Modeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methods. EMBC 2006: 2438-2441 - [c21]Vangelis Sakkalis, Theofanis Oikonomou, Ellie Pachou, Ioannis G. Tollis, Sifis Micheloyannis, Michalis E. Zervakis:
Time-significant Wavelet Coherence for the Evaluation of Schizophrenic Brain Activity using a Graph theory approach. EMBC 2006: 4265-4268 - [c20]Ioannis N. Dimou, Georgios C. Manikis, Michalis E. Zervakis:
Classifier Fusion Approaches for Diagnostic Cancer Models. EMBC 2006: 5334-5337 - [c19]Lingfen Sun, Pin Hu, Cindy Goh, Brahim Hamadicharef, Emmanuel C. Ifeachor, Ioannis Barbounakis, Michalis E. Zervakis, N. Nurminen, Alpo Varri, Riccardo Fontanelli, Sergio Di Bona, Davide Guerri, Serena La Manna, K. Cerbioni, E. Palanca, Antonina Starita:
Bioprofiling over Grid for eHealthcare. HealthGrid 2006: 205-216 - [c18]Zacharias Gketsis, Michalis E. Zervakis, George S. Stavrakakis:
Early Detection of Winding Faults in Windmill Generators Using Wavelet Transform and ANN Classification. ICANN (2) 2006: 746-756 - [c17]Zhuoqun Sun, Pin Hu, Cindy Goh, Brahim Hamadicharef, M. Hess, Emmanuel C. Ifeachor, Ioannis Barbounakis, Michalis E. Zervakis, N. Nurminen, Alpo Varri:
Bioprofiling over grid for early detection of dementia. Infoscale 2006: 32 - 2005
- [j17]Vasilis Gkoumplias, Michael E. Zervakis, Margaret Tzaphlidou:
An automated approach for analyzing D-periods in collagen fibril images. IEEE Trans. Biomed. Eng. 52(7): 1345-1347 (2005) - [c16]Nikolaos Markopoulos, Michalis E. Zervakis:
Design of a Hybrid Object Detection Scheme for Video Sequences. ACIVS 2005: 252-259 - [c15]Konstantinos Rapantzikos, Michalis E. Zervakis:
Robust optical flow estimation in MPEG sequences. ICASSP (2) 2005: 893-896 - 2004
- [j16]George A. Rovithakis, I. Chalkiadakis, Michael E. Zervakis:
High-order neural network structure selection for function approximation applications using genetic algorithms. IEEE Trans. Syst. Man Cybern. Part B 34(1): 150-158 (2004) - [j15]Michael E. Zervakis, Stefanos Goumas, George A. Rovithakis:
A Bayesian framework for multilead SMD post-placement quality inspection. IEEE Trans. Syst. Man Cybern. Part B 34(1): 440-453 (2004) - [j14]George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis:
A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification. IEEE Trans. Syst. Man Cybern. Part B 34(1): 695-703 (2004) - [c14]Stefanos Goumas, Michalis E. Zervakis, George A. Rovithakis:
Reduced dimensionality space for post placement quality inspection of components based on neural networks. ESANN 2004: 275-280 - [c13]C. Doulaverakis, S. Vagionitis, Michalis E. Zervakis, Euripides G. M. Petrakis:
Adaptive Methods for Motion Characterization and Segmentation of MPEG Compressed Frame Sequences. ICIAR (1) 2004: 310-317 - 2003
- [j13]Elias N. Malamas, Euripides G. M. Petrakis, Michalis E. Zervakis, Laurent Petit, Jean-Didier Legat:
A survey on industrial vision systems, applications, tools. Image Vis. Comput. 21(2): 171-188 (2003) - [j12]V. Kastrinaki, Michael E. Zervakis, Kostas Kalaitzakis:
A survey of video processing techniques for traffic applications. Image Vis. Comput. 21(4): 359-381 (2003) - [j11]Konstantinos Rapantzikos, Michalis E. Zervakis, K. Balas:
Detection and segmentation of drusen deposits on human retina: Potential in the diagnosis of age-related macular degeneration. Medical Image Anal. 7(1): 95-108 (2003) - 2002
- [j10]Stefanos Goumas, Michael E. Zervakis, George S. Stavrakakis:
Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction. IEEE Trans. Instrum. Meas. 51(3): 497-508 (2002) - [c12]Michael E. Zervakis, Stefanos Goumas, George A. Rovithakis:
A Bayesian image analysis framework for post placement quality inspection of components. ICIP (2) 2002: 549-552 - 2001
- [j9]Michael E. Zervakis, Vijay Sundararajan, Keshab K. Parhi:
Vector processing of wavelet coefficients for robust image denoising. Image Vis. Comput. 19(7): 435-450 (2001) - [j8]George A. Rovithakis, Michail Maniadakis, Michael E. Zervakis, George Filippidis, Giannis Zacharakis, Asterios N. Katsamouris, Theodore G. Papazoglou:
Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. IEEE Trans. Biomed. Eng. 48(10): 1088-1097 (2001) - [c11]I. Chalkiadakis, George A. Rovithakis, Michael E. Zervakis:
A structural genetic algorithm to optimize High Order Neural Network architecture. ESANN 2001: 185-192 - [c10]Konstantinos Rapantzikos, Michalis E. Zervakis:
Nonlinear enhancement and segmentation algorithm for the detection of age-related macular degeneration (AMD) in human eye's retina. ICIP (3) 2001: 1055-1058 - 2000
- [c9]George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis:
A Genetically Optimized Artificial Neural Network Structure for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums. CAMP 2000: 107-111 - [c8]George A. Rovithakis, Argyris D. Matamis, Michael E. Zervakis:
Controlling QoS at the application level for multimedia applications using artificial neural networks: Experimental results. EUSIPCO 2000: 1-4 - [c7]George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis:
Artificial neural networks for feature extraction and classification of vascular tissue fluorescence spectrums. ICASSP 2000: 3454-3457
1990 – 1999
- 1997
- [c6]Michael E. Zervakis, Vijay Sundararajan, Keshab K. Parhi:
A Wavelet-Domain Algorithm for Denoising in the Presence of Noise Outliers. ICIP (1) 1997: 632-635 - 1995
- [j7]Taek Mu Kwon, Michael E. Zervakis, Anastasios N. Venetsanopoulos:
Design and analysis of a class of self-organizing and trainable fuzzy controllers. J. Intell. Robotic Syst. 12(3): 301-315 (1995) - [j6]Taek Mu Kwon, Michael E. Zervakis:
KWTA networks and their applications. Multidimens. Syst. Signal Process. 6(4): 333-346 (1995) - [j5]Michael E. Zervakis, Aggelos K. Katsaggelos, Taek Mu Kwon:
A class of robust entropic functionals for image restoration. IEEE Trans. Image Process. 4(6): 752-773 (1995) - 1994
- [c5]Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis:
Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. ICIP (1) 1994: 56-60 - 1993
- [c4]Michael E. Zervakis, Taek Mu Kwon:
On the application of robust functionals in regularized image restoration. ICASSP (5) 1993: 289-292 - [c3]Michael E. Zervakis, Taek Mu Kwon:
A generalized study of the weighted least-squares measure for the selection of the regularization parameter in inverse problems. ISCAS 1993: 415-418 - 1992
- [j4]Michael E. Zervakis:
Optimal restoration of multichannel images based on constrained mean-square estimation. J. Vis. Commun. Image Represent. 3(4): 392-411 (1992) - [j3]Michalis E. Zervakis, Anastasios N. Venetsanopoulos:
Design of a new restoration algorithm based on the constrained mean-square-error criterion. Multidimens. Syst. Signal Process. 3(4): 381-408 (1992) - [j2]Michael E. Zervakis, Anastasios N. Venetsanopoulos:
Iterative least squares estimators in nonlinear image restoration. IEEE Trans. Signal Process. 40(4): 927-945 (1992) - 1991
- [j1]Michalis E. Zervakis, Anastasios N. Venetsanopoulos:
Convergence properties of Gauss-Newton iterative algorithms in nonlinear image restoration. Multidimens. Syst. Signal Process. 2(3): 287-318 (1991) - [c2]Michalis E. Zervakis, Anastasios N. Venetsanopoulos:
A new regularized approach and its applications in image restoration. ICASSP 1991: 2501-2504
1980 – 1989
- 1986
- [c1]Michael E. Zervakis, Anastasios N. Venetsanopoulos:
Design of 3-D IIR filters via transformations of 2-D circularly symmetric rotated filters. ICASSP 1986: 545-548
Coauthor Index
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