Nikos Giannakeas
Nikos Giannakeas
Department of Informatics and Telecommunications, University of Ioannina, Greece
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Cited by
High-throughput, machine learning–based quantification of steatosis, inflammation, ballooning, and fibrosis in biopsies from patients with nonalcoholic fatty liver disease
R Forlano, BH Mullish, N Giannakeas, JB Maurice, N Angkathunyakul, ...
Clinical Gastroenterology and Hepatology 18 (9), 2081-2090. e9, 2020
Epileptic seizures classification based on long-term EEG signal wavelet analysis
KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ...
International Conference on Biomedical and Health Informatics, 165-169, 2017
A robust methodology for classification of epileptic seizures in EEG signals
KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ...
Health and Technology 9 (2), 135-142, 2019
EEG-based automatic sleep stage classification
KD Tzimourta, A Tsilimbaris, K Tzioukalia, AT Tzallas, MG Tsipouras, ...
Biomed J 1 (6), 2018
An automated method for gridding and clustering-based segmentation of cDNA microarray images
N Giannakeas, DI Fotiadis
Computerized Medical Imaging and Graphics 33 (1), 40-49, 2009
A low-cost indoor activity monitoring system for detecting frailty in older adults
T Tegou, I Kalamaras, M Tsipouras, N Giannakeas, K Votis, D Tzovaras
Sensors 19 (3), 452, 2019
Wavelet based classification of epileptic seizures in EEG signals
KD Tzimourta, LG Astrakas, MG Tsipouras, N Giannakeas, AT Tzallas, ...
2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017
Segmentation of microarray images using pixel classification—Comparison with clustering-based methods
N Giannakeas, PS Karvelis, TP Exarchos, FG Kalatzis, DI Fotiadis
Computers in biology and medicine 43 (6), 705-716, 2013
Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated …
RD Abeles, BH Mullish, R Forlano, T Kimhofer, M Adler, A Tzallas, ...
Alimentary pharmacology & therapeutics 49 (8), 1077-1085, 2019
EEG window length evaluation for the detection of Alzheimer’s disease over different brain regions
KD Tzimourta, N Giannakeas, AT Tzallas, LG Astrakas, T Afrantou, ...
Brain sciences 9 (4), 81, 2019
Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis based on resting-state EEG Recordings: A Systematic Review
KD Tzimourta, V Christou, AT Tzallas, N Giannakeas, LG Astrakas, ...
International Journal of Neural Systems, 2020
A clustering based method for collagen proportional area extraction in liver biopsy images
N Giannakeas, MG Tsipouras, AT Tzallas, K Kyriakidi, ZE Tsianou, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease
KD Tzimourta, T Afrantou, P Ioannidis, M Karatzikou, AT Tzallas, ...
Computers & Electrical Engineering 76, 198-212, 2019
Hybrid extreme learning machine approach for heterogeneous neural networks
V Christou, MG Tsipouras, N Giannakeas, AT Tzallas, G Brown
Neurocomputing 361, 137-150, 2019
A classification-based segmentation of cDNA microarray images using support vector machines
N Giannakeas, PS Karvelis, DI Fotiadis
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
EEG-based eye movement recognition using brain–computer interface and random forests
E Antoniou, P Bozios, V Christou, KD Tzimourta, K Kalafatakis, ...
Sensors 21 (7), 2339, 2021
Training of deep convolutional neural networks to identify critical liver alterations in histopathology image samples
A Arjmand, CT Angelis, V Christou, AT Tzallas, MG Tsipouras, E Glavas, ...
Applied Sciences 10 (1), 42, 2019
Quantification of liver fibrosis—A comparative study
A Arjmand, MG Tsipouras, AT Tzallas, R Forlano, P Manousou, ...
Applied Sciences 10 (2), 447, 2020
A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques
MG Tsipouras, N Giannakeas, AT Tzallas, ZE Tsianou, P Manousou, ...
computer Methods and Programs in Biomedicine 140, 61-68, 2017
Continuous non-invasive glucose monitoring via contact lenses: Current approaches and future perspectives
D Bamgboje, I Christoulakis, I Smanis, G Chavan, R Shah, M Malekzadeh, ...
Biosensors 11 (6), 189, 2021
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