| 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 | 85 | 2020 |
| 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, 135-142, 2019 | 84 | 2019 |
| Epileptic seizures classification based on long-term EEG signal wavelet analysis KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ... Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017 …, 2018 | 67 | 2018 |
| EEG-based automatic sleep stage classification KD Tzimourta, A Tsilimbaris, K Tzioukalia, AT Tzallas, MG Tsipouras, ... Biomed J 1 (6), 2018 | 57 | 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 | 47 | 2009 |
| 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 | 36 | 2019 |
| 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 | 36 | 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 | 35 | 2017 |
| 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 | 34 | 2019 |
| 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 | 33 | 2019 |
| 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 | 32 | 2013 |
| 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 | 31 | 2021 |
| Quantification of liver fibrosis—A comparative study A Arjmand, MG Tsipouras, AT Tzallas, R Forlano, P Manousou, ... Applied Sciences 10 (2), 447, 2020 | 31 | 2020 |
| 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 | 30 | 2020 |
| 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 | 30 | 2019 |
| 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 | 29 | 2021 |
| 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 | 28 | 2015 |
| Hybrid extreme learning machine approach for heterogeneous neural networks V Christou, MG Tsipouras, N Giannakeas, AT Tzallas, G Brown Neurocomputing 361, 137-150, 2019 | 25 | 2019 |
| Alzheimer’s disease and frontotemporal dementia: a robust classification method of EEG signals and a comparison of validation methods A Miltiadous, KD Tzimourta, N Giannakeas, MG Tsipouras, T Afrantou, ... Diagnostics 11 (8), 1437, 2021 | 24 | 2021 |
| EEG classification and short-term epilepsy prognosis using brain computer interface software AT Tzallas, N Giannakeas, KN Zoulis, MG Tsipouras, E Glavas, ... 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 24 | 2017 |
Alexandros T. TzallasAssociate Professor, Department of Informatics & Telecommunications, University of Ioannina, GreeceAdresă de e-mail confirmată pe uoi.gr
