Digital Image and Signal Processing Laboratory

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	1-15 out of 128 results
1	Aikaterini Tsellou, "Aerial video inspection of Greek power lines structures using machine learning techniques", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024	2024-03-27
2	Sotirios Kavvouras, "Magnetoencephalogram analysis of subjects with mild head injuries using multilevel connectivity networks and graph neural networks", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024	2024-03-15
3	Christina-Dionysia Panou, "Next-day Bitcoin price forecasting using time series models", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024	2024-03-14
4	Alexandra Tsipouraki, "Analysis of electroencephalography in epilepsy after transcranial brain stimulation using connectivity models and machine learning", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024	2024-03-13
5	N. J. Simos, K. Manolitsi, A. I. Luppi, A. Kagialis, M. Antonakakis, M. Zervakis, D. Antypa, E. Kavroulakis, T. G. Maris, A. Vakis, E. A. Stamatakis and E. Papadaki “Chronic mild Traumatic Brain Injury: aberrant static and dynamic connectomic features identified through machine learning model fusion,” Neuroinform., vol. 21, no. 2, pp. 427–442, Apr. 2023, doi: 10.1007/s12021-022-09615-1.	2024-03-04
6	E. Papadaki, N. J. Simos, E. Kavroulakis, G. Bertsias, D. Antypa, A. Fanouriakis, T. Maris, P. Sidiropoulos and D. T. Boumpas “Converging evidence of impaired brain function in systemic lupus erythematosus: changes in perfusion dynamics and intrinsic functional connectivity,” Neuroradiology, vol. 64, no. 8, pp. 1593–1604, Aug. 2022, doi: 10.1007/s00234-022-02924-x.	2024-03-04
7	G. Giannakakis, K. Makantasis, K. Giannakaki, M. Zervakis, and P. Vorgia, “Detection of focal epileptic seizures on EEG signals using the CSP algorithm,” Epilepsia, vol. 63, no. S2, pp. 107, Sep. 2022, doi: 10.1111/epi.17388.	2024-02-26
8	Georgios Noikos, "Machine learning to develop a model that will predict early impending sepsis in neurosurgical patients", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023	2023-10-18
9	F. Neugebauer, M. Antonakakis, K. Unnwongse, Y. Parpaley, J. Wellmer, S. Rampp, and C. H. Wolters, “Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia,” Brain Sci., vol. 12, no. 1, Jan. 2022, doi: 10.3390/brainsci12010114.	2023-09-22
10	K. Kumar-Singh, S. Kumar, M. Antonakakis, K. Moirogiorgou, A. Deep, K. L. Kashyap, M. K. Bajpai, and M. Zervakis, “Deep learning capabilities for the categorization of microcalcification,” Int. J. Environ. Res. Public Health, vol. 19, no. 4, Feb. 2022, doi: 10.3390/ijerph19042159.	2023-09-14
11	Emmanouil Zachariadis, "Wildforest fire detection using deep learning and fusion techniques on aerial image datasets ", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023	2023-08-22
12	O. Giannakopoulou, P. Toumpaniaris, I. Kouris, K. Moirogiorgou, N. Karanasiou, V. Aisopou, G. Matsopoulos, A. Chandrinou, N. Anousakis-Vlachochristou, F. Psarros, P. Syrigas, V. Karalidou, N. Costaridis, M. Zervakis, and D. Koutsouris, "A platform for health record management of the conscripts in the Hellenic Navy," in Public Health and Informatics, vol. 281, Studies in Health Technology and Informatics, J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, O. S. Chirila, Eds., Amsterdam, The Netherlands: IOS Press, 2021, pp. 362 - 366, doi: 10.3233/SHTI210181.	2023-07-18
13	I. Torakis, E. S. Bei, S. Sfakianakis, I. S. Pateras and M. Zervakis, “Pancreatic cancer and its correlation with embryogenesis: identification of biomolecular markers using machine learning methods,” in 8th European Medical and Biological Engineering Conference, IFMBE Proceedings, T. Jarm, A. Cvetkoska, S. Mahnič-Kalamiza, D. Miklavcic, Eds., Cham, Switzerland: Springer Nature, 2021, pp. 952–961, doi: 10.1007/978-3-030-64610-3_106.	2023-07-07
14	G. A. Klados, K. Politof, E. S. Bei, K. Moirogiorgou, N. Anousakis-Vlachochristou, G. K. Matsopoulos and M. Zervakis, "Machine learning model for predicting CVD risk on NHANES data," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 1749-1752, doi: 10.1109/EMBC46164.2021.9630119.	2023-05-16
15	K. Politof, M. Antonakakis, A. Wollbrink, C. H. Wolters and M. Zervakis, "Reconstruction of the very early thalamo-cortical network with combined EEG and MEG on realistic head modeling," in 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), Italy, 2021, pp. 371-374, doi: 10.1109/NER49283.2021.9441387.	2023-05-16
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