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Τελευταίες Υποβολές

 1-15 από 35 αποτελέσματα
1 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
2 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
3 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
4 T. Zacheilas, K. Moirogiorgou, N. Papandroulakis, E. Sotiriades, M. Zervakis and A. Dollas, "An FPGA-based system for video processing to detect holes in aquaculture nets," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635351.2023-05-12
5 M. Papadogiorgaki, M. Venianaki, P. Charonyktakis, M. Antonakakis, I. Tsamardinos, M. E. Zervakis and V. Sakkalis, "Heart rate classification using ECG signal processing and machine learning methods," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635462.2023-05-12
6 G. Sdoukopoulou, M. Antonakakis, G. Moddel, C. H. Wolters and M. Zervakis, "Interictal spike classification in pharmacoresistant epilepsy using combined EEG and MEG," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635501.2023-05-12
7 K. Giannakaki, K. Moirogiorgou, M. Zervakis, N. Anousakis-Vlachochristou, G. K. Matsopoulos, C. Komporozos, V. Sourides, G. Katsimagklis, M. Drakopoulou, K. Toutouzas, C. Avgeropoulou and A. Androulakis, "Automatic aortic valve area detection in echocardiography images using convolutional neural networks and U-net architecture for bicuspid aortic valve recognition," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651398.2023-05-11
8 A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou, G. Livanos, M. Papadogiorgaki and M. Zervakis, "Dual-branch CNN for the identification of recyclable materials," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651347.2023-05-11
9 A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou and M. Zervakis, "A novel one-vs-rest classification framework for mutually supported decisions by independent parallel classifiers," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651468.2023-05-11
10 G. Livanos, D. Ramnalis, V. Polychronos, P. Balomenou, P. Sarigiannidis, G. Kakamoukas, T. Karamitsou, P. Angelidis, and M. Zervakis, "Extraction of reflectance maps for smart farming applications using Unmanned Aerial Vehicles," in 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal, 2020, pp. 1-6, doi: 10.1109/CSNDSP49049.2020.9249628.2022-05-04
11 G. Giakos, T. Farrahi, N. Douard, M. Surovich, S. Shrestha, G. Bauman, A. Benitati, H.E. Mohamed, Z. Giakos, N. Ying, M. Zervakis and G. Livanos, "Integration of bioinspired vision principles towards the design of autonomous guidance, navigation, and control systems," in 9th International Conference on Information, Intelligence, Systems and Applications, 2018. doi: 10.1109/IISA.2018.86336432020-09-08
12 G.A. Klados, M. Zervakis, R. Dacosta-Aguayo, A. Fratini and M.A. Klados, "Towards a novel way to predict deficits after a brain lesion: a stroke example," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 737-741. doi: 10.1109/BIBE.2019.001382020-04-22
13 K. Giannakaki, G. Giannakakis, P. Vorgia, M. Klados and M. Zervakis, "Automatic absence seizure detection evaluating matching pursuit features of EEG signals," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 886-889. doi: 10.1109/BIBE.2019.001652020-04-22
14 V.S. Dimakopoulos, M. Antonakakis, G. Moeddel, J. Wellmer, S. Rampp, M. Zervakis and C.H. Wolters, "Combined EEG/MEG source reconstruction of epileptic activity using a two-phase spike clustering approach," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 877-881. doi: 10.1109/BIBE.2019.001632020-04-22
15 G. Giannakakis, N. Tsekos, K. Giannakaki, K. Michalopoulos, P. Vorgia and M. Zervakis, "Seizure detection using common spatial patterns and classification techniques," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 890-893. doi: 10.1109/BIBE.2019.001662020-04-22
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