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2020 – today
- 2024
- [j34]Kosmas Glavas, Katerina D. Tzimourta, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Empowering Individuals With Disabilities: A 4-DoF BCI Wheelchair Using MI and EOG Signals. IEEE Access 12: 95417-95433 (2024) - [j33]Konstantinos Sakkas, Eirini Georgia Dimitriou, Niki Eleni Ntagka, Nikolaos Giannakeas, Konstantinos Kalafatakis, Alexandros T. Tzallas, Evripidis Glavas:
Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality. Future Internet 16(9): 305 (2024) - [j32]Emmanouil D. Oikonomou, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas:
How natural language processing derived techniques are used on biological data: a systematic review. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 23 (2024) - 2023
- [j31]Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Konstantinos Kalafatakis, Alexandros T. Tzallas:
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review. IEEE Access 11: 564-594 (2023) - [j30]Matina Ch. Zerva, Vasileios Christou, Nikolaos Giannakeas, Alexandros T. Tzallas, Lisimachos P. Kondi:
An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. IEEE Access 11: 18026-18037 (2023) - [j29]Andreas Miltiadous, Emmanouil Gionanidis, Katerina D. Tzimourta, Nikolaos Giannakeas, Alexandros T. Tzallas:
DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals. IEEE Access 11: 71840-71858 (2023) - [j28]Theodoros Lampros, Konstantinos Kalafatakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring. Array 19: 100302 (2023) - [j27]Foteini Gramouseni, Katerina D. Tzimourta, Pantelis Angelidis, Nikolaos Giannakeas, Markos G. Tsipouras:
Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review. Big Data Cogn. Comput. 7(4): 163 (2023) - [j26]Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas, Alexandros T. Tzallas:
A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG. Data 8(6): 95 (2023) - [j25]Vasileios Christou, Ioannis G. Tsoulos, Vasileios Loupas, Alexandros T. Tzallas, Christos Gogos, Petros S. Karvelis, Nikolaos Antoniadis, Evripidis Glavas, Nikolaos Giannakeas:
Performance and early drop prediction for higher education students using machine learning. Expert Syst. Appl. 225: 120079 (2023) - [j24]Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Nikolaos Giannakeas:
Virtual and Augmented Experience in Virtual Learning Tours. Inf. 14(5): 294 (2023) - [j23]Aristidis G. Anagnostakis, Charilaos Naxakis, Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Euripidis Glavas:
Scalable Consensus Over Finite Capacities in Multiagent IoT Ecosystems. IEEE Internet Things J. 10(8, April 15): 6673-6688 (2023) - [c47]Panagiotis N. Smyrlis, Konstantinos Vogklis, Odysseas Tsakai, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
A Novel Approach for Cancer Image Segmentation. BIBM 2023: 4951-4954 - [c46]Odysseas Tsakai, Panagiotis N. Smyrlis, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Deep-in-Biopsies: AI-supported biopsy image processing for accurate pathology diagnosis and staging. BIBM 2023: 4963-4965 - [c45]Andreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas:
Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features. CBMS 2023: 876-881 - [c44]Theodoros Lampros, Nikolaos Giannakeas, Konstantinos Kalafatakis, Markos G. Tsipouras, Alexandros T. Tzallas:
Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform. AIAI Workshops 2023: 45-54 - [c43]Panagiotis N. Smyrlis, Odysseas Tsakai, Konstantinos Vogklis, Nikolaos Giannakeas, Alexandros T. Tzallas, George F. Fragulis, Markos G. Tsipouras:
A Comparative Testing of Yolov8-Based Algorithm for Cancer Biopsy Images: Case Study on Pannuke Pan-Cancer Dataset. SEEDA-CECNSM 2023: 1-5 - [c42]Foteini Gramouseni, Georgios Prapas, Christos Bellos, Pantelis Angelidis, Nikolaos Giannakeas, Markos G. Tsipouras:
Exploring Ensemble Machine Learning Models for Attention and Memory Assesment. TSP 2023: 280-283 - 2022
- [j22]Pavlos Christodoulides, Andreas Miltiadous, Katerina D. Tzimourta, Dimitrios Peschos, Georgios Ntritsos, Victoria Zakopoulou, Nikolaos Giannakeas, Loukas G. Astrakas, Markos G. Tsipouras, Konstantinos I. Tsamis, Euripidis Glavas, Alexandros T. Tzallas:
Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool. Biomed. Signal Process. Control. 76: 103646 (2022) - [j21]Vasileios Christou, Kyriakos Koritsoglou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Evripidis Glavas, Alexandros T. Tzallas:
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. Expert Syst. Appl. 203: 117488 (2022) - [j20]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Evripidis Glavas, Avraam Ploumis, Nikolaos Giannakeas:
Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Inf. 13(2): 101 (2022) - [j19]Alexandros Arjmand, Odysseas Tsakai, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Christos Gogos, Evripidis Glavas, Nikolaos Giannakeas:
Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. Inf. 13(4): 160 (2022) - [j18]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Konstantinos Bezas, Constantinos T. Angelis:
A Traffic-Load-Based Algorithm for Wireless Sensor Networks' Lifetime Extension. Inf. 13(4): 202 (2022) - [j17]Vasileios Aspiotis, Andreas Miltiadous, Konstantinos Kalafatakis, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios Peschos, Euripidis Glavas, Alexandros T. Tzallas:
Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG. Sensors 22(15): 5792 (2022) - [j16]Vasileios Christou, Andreas Miltiadous, Ioannis G. Tsoulos, Evaggelos Karvounis, Katerina D. Tzimourta, Markos G. Tsipouras, Nikolaos P. Anastasopoulos, Alexandros T. Tzallas, Nikolaos Giannakeas:
Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection. Sensors 22(23): 9233 (2022) - [c41]Aristidis G. Anagnostakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras, Euripidis Glavas:
A peer, "wallet-only" consensus schema for ownership transfer over finite populations. SEEDA-CECNSM 2022: 1-10 - [c40]Konstantinos Bezas, Georgios Tsoumanis, Kyriakos Koritsoglou, Konstantinos Oikonomou, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras, Constantinos T. Angelis:
A Fairness-aware Coverage Algorithm for Drone Swarms. SEEDA-CECNSM 2022: 1-5 - [c39]Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Virtual and augmented experience in cultural places: The perspective of integration in the learning process. SEEDA-CECNSM 2022: 1-5 - [c38]Vasiliki Fiska, Sofia Evangelou, Nikolaos Giannakeas, Alexandros T. Tzallas, Pantelis Angelidis, Markos G. Tsipouras:
A non-invasive closed-loop diagnostic and therapeutic wearable device for diabetic hyperglycemia prevention: System Architecture. SEEDA-CECNSM 2022: 1-4 - [c37]Andreas Miltiadous, Vasileios Aspiotis, Konstantinos Sakkas, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas:
An experimental protocol for exploration of stress in an immersive VR scenario with EEG. SEEDA-CECNSM 2022: 1-5 - [c36]Vasileios Nastos, Alexandros Arjmand, Klevis Tsakai, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Nikolaos Giannakeas, Avraam Ploumis, Christos Gogos:
Human Activity Recognition using Machine Learning Techniques. SEEDA-CECNSM 2022: 1-5 - [c35]Georgios Prapas, Kosmas Glavas, Alexandros T. Tzallas, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras:
Motor Imagery Approach for BCI Game Development. SEEDA-CECNSM 2022: 1-5 - [c34]Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, Aristidis G. Anagnostakis, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas:
A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era. SEEDA-CECNSM 2022: 1-6 - [c33]Konstantinos Sakkas, Alexandra Tsogka, Athanasios Gkimitzoudis, Nikolaos Giannakeas, Katerina D. Tzimourta, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
Analysis of Emotions through the Use of Physiological Signals. SEEDA-CECNSM 2022: 1-7 - [c32]Konstantinos Sakkas, Alexandra Tsogka, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas:
Applied Virtual Reality in 3D Geometry. SEEDA-CECNSM 2022: 1-5 - [c31]Yannis Misirlis, Katerina D. Tzimourta, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras:
Pediatric Epilepsy Assessment Based on EEG Analysis. TSP 2022: 377-380 - [c30]Kosmas Glavas, Georgios Prapas, Katerina D. Tzimourta, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Intra-User Analysis Based on Brain-Computer Interface Controlled Game. TSP 2022: 386-390 - 2021
- [j15]Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas:
An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. Array 11: 100078 (2021) - [j14]Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios G. Tsalikakis, Markos G. Tsipouras:
Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. Int. J. Neural Syst. 31(5): 2130002:1-2130002:33 (2021) - [j13]Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests. Sensors 21(7): 2339 (2021) - [j12]Aristidis G. Anagnostakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
IoT Micro-Blockchain Fundamentals. Sensors 21(8): 2784 (2021) - [c29]Alexandros Arjmand, M. Pappas, Odysseas Tsakai, V. Christon, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Evripidis Glavas, Nikolaos Giannakeas:
Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System. SEEDA-CECNSM 2021: 1-5 - [c28]Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Markos G. Tsipouras, Al Husein Sami Abosaleh, Evangelos Antoniou, Nikolaos Giannakeas, Alexandros T. Tzallas, Euripidis Glavas:
Active touch classification using EEG signals. SEEDA-CECNSM 2021: 1-5 - [c27]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Avraam Ploumis, Nikolaos Giannakeas:
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. SEEDA-CECNSM 2021: 1-5 - [c26]Vasiliki Fiska, Vasiliki Gakilazou, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Automatic Parkinson's tremor assessment with data analysis from daily activities. SEEDA-CECNSM 2021: 1-5 - [c25]Evaggelos Karvounis, Maria G. Vavva, Nikolaos Giannakeas, Alexandros T. Tzallas, Ioannis Smanis, Markos G. Tsipouras:
A Hospital Healthcare Monitoring System Using Internet of Things Technologies. SEEDA-CECNSM 2021: 1-6 - [c24]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Constantinos T. Angelis:
A Traffic Load-based Algorithm for Extending the Lifetime of Wireless Sensor Networks. SEEDA-CECNSM 2021: 1-5 - 2020
- [j11]Kyriakos Koritsoglou, Vasileios Christou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. Sensors 20(21): 6389 (2020) - [c23]Theodoros Lampros, Konstantinos Kalafatakis, Ioannis G. Violaris, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras:
Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis. BIBE 2020: 847-852 - [c22]Vasiliki Fiska, Nikolaos Giannakeas, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Konstantinos Kalafatakis, Markos G. Tsipouras:
Motor data analysis of Parkinson's disease patients. BIBE 2020: 946-950 - [c21]Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. IJCNN 2020: 1-8 - [c20]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Eleftherios Stergiou, Konstantinos Oikonomou, Constantinos T. Angelis:
A Lifetime Extension Framework for Wireless Sensor Networks. TSP 2020: 260-264 - [c19]Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Constantinos T. Angelis, Georgios Tsoumanis, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas:
Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. TSP 2020: 480-483
2010 – 2019
- 2019
- [j10]Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Maria Karatzikou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis A. Angelidis, Evripidis Glavas, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Markos G. Tsipouras:
Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease. Comput. Electr. Eng. 76: 198-212 (2019) - [j9]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Gavin Brown:
Hybrid extreme learning machine approach for heterogeneous neural networks. Neurocomputing 361: 137-150 (2019) - [j8]Thomas I. Tegou, Ilias Kalamaras, Markos G. Tsipouras, Nikolaos Giannakeas, Konstantinos Votis, Dimitrios Tzovaras:
A Low-Cost Indoor Activity Monitoring System for Detecting Frailty in Older Adults. Sensors 19(3): 452 (2019) - [c18]Panagiotis A. Bonotis, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Alexandros T. Tzallas, Nikolaos Giannakeas, Evripidis Glavas, Markos G. Tsipouras:
Automated Assessment of Pain Intensity Based on EEG Signal Analysis. BIBE 2019: 583-588 - [c17]Eleftherios Stergiou, Constantinos T. Angelis, Nikolaos Giannakeas, Georgios Tsoumanis, Alexandros T. Tzallas, Evripidis Glavas:
Optimum Capacity over Power Consumption Requirements in MIMO Systems. TSP 2019: 415-419 - [c16]Alexandros Arjmand, Constantinos T. Angelis, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas:
Deep Learning in Liver Biopsies using Convolutional Neural Networks. TSP 2019: 496-499 - 2018
- [j7]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Hybrid extreme learning machine approach for homogeneous neural networks. Neurocomputing 311: 397-412 (2018) - [c15]Markos G. Tsipouras, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Nikolaos Giannakeas, Alexandros T. Tzallas:
Random Forests with Stochastic Induction of Decision Trees. ICTAI 2018: 527-531 - [c14]Alexandros Arjmand, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Nikolaos S. Katertsidis, Nikolaos Giannakeas:
Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques. PETRA 2018: 434-440 - [c13]Markos G. Tsipouras, Nikolaos Giannakeas, Thomas I. Tegou, Ilias Kalamaras, Konstantinos Votis, Dimitrios Tzovaras:
Assessing the Frailty of Older People using Bluetooth Beacons Data. WiMob 2018: 5-11 - 2017
- [j6]Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Ioannis G. Tsoulos, Epameinondas Tsianos:
A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques. Comput. Methods Programs Biomed. 140: 61-68 (2017) - [j5]Maria Tsiplakidou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou:
Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing. Inf. 8(1): 36 (2017) - [c12]Nikolaos Giannakeas, Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Roberta Forlano, Alexandros T. Tzallas:
Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection. BIBE 2017: 236-240 - [c11]Anna N. Ntagiou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Protein Structure Recognition by Means of Sequential Pattern Mining. BIBE 2017: 334-339 - [c10]Markos G. Tsipouras, Nikolaos Giannakeas, Stefanos Doumpoulakis, Antonis Voulgaridis, Dimitrios Kikidis, Konstantinos Votis, Dimitrios Tzovaras:
Rule Editor for ARDEN Syntax Generation towards a more Effective Self-Management of Asthma Disease Patients. BIBE 2017: 520-524 - [c9]Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Markos G. Tsipouras, Dimitrios G. Tsalikakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou:
Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm. CBMS 2017: 30-34 - [c8]Katerina D. Tzimourta, Loukas G. Astrakas, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Spyridon Konitsiotis:
Wavelet Based Classification of Epileptic Seizures in EEG Signals. CBMS 2017: 35-39 - [c7]Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Maria G. Vavva, Maria Tsimplakidou, Evaggelos C. Karvounis, Roberta Forlano, Pinelopi Manousou:
Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging. CBMS 2017: 40-44 - [c6]Alexandros T. Tzallas, Nikolaos Giannakeas, Kostantinos N. Zoulis, Markos G. Tsipouras, Euripidis Glavas, Katerina D. Tzimourta, Loukas G. Astrakas, Spyridon Konitsiotis:
EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software. CBMS 2017: 349-353 - 2016
- [j4]Nikolaos Giannakeas, Fanis G. Kalatzis, Markos G. Tsipouras, Dimitrios I. Fotiadis:
A generalized methodology for the gridding of microarray images with rectangular or hexagonal grid. Signal Image Video Process. 10(4): 719-728 (2016) - [c5]Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Nikolaos Giannakeas, Alexandros T. Tzallas:
Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing. CBI (2) 2016: 61-67 - 2015
- [c4]Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Kalliroi Kyriakidi, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Evaggelos Karvounis, Vasileios Tsianos, Epameinondas Tsianos:
A clustering based method for collagen proportional area extraction in liver biopsy images. EMBC 2015: 3097-3100 - 2013
- [j3]Nikolaos Giannakeas, Petros S. Karvelis, Themis P. Exarchos, Fanis G. Kalatzis, Dimitrios I. Fotiadis:
Segmentation of microarray images using pixel classification - Comparison with clustering-based methods. Comput. Biol. Medicine 43(6): 705-716 (2013) - 2012
- [j2]Nikolaos Giannakeas, Fanis G. Kalatzis, Markos G. Tsipouras, Dimitrios I. Fotiadis:
Spot addressing for microarray images structured in hexagonal grids. Comput. Methods Programs Biomed. 106(1): 1-13 (2012) - 2011
- [b1]Nikolaos Giannakeas:
Επεξεργασία εικόνων μικροσυστοιχιών με χρήση ευφυών μεθόδων πληροφοριακών συστημάτων. University of Ioannina, Greece, 2011
2000 – 2009
- 2009
- [j1]Nikolaos Giannakeas, Dimitrios I. Fotiadis:
An automated method for gridding and clustering-based segmentation of cDNA microarray images. Comput. Medical Imaging Graph. 33(1): 40-49 (2009) - 2008
- [c3]Yorgos Goletsis, Themis P. Exarchos, Nikolaos Giannakeas, Dimitrios I. Fotiadis:
Intelligent patient profiling for diagnosis, staging and treatment selection in colon cancer. BIBE 2008: 1-6 - [c2]Fanis G. Kalatzis, Themis P. Exarchos, Nikolaos Giannakeas, Sofia Markoula, Elisavet Hatzi, Panagiotis Rizos, Ioannis Georgiou, Dimitrios I. Fotiadis:
Point-of-care monitoring and diagnostics for autoimmune diseases. BIBE 2008: 1-6 - 2006
- [c1]Nikolaos Giannakeas, Dimitrios I. Fotiadis, Anastasia S. Politou:
An Automated Method for Gridding in Microarray Images. EMBC 2006: 5876-5879
Coauthor Index
aka: Euripidis Glavas
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