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2020 – today
- 2025
[j2]Aimilia Ntetska
, Panagiotis N. Smyrlis, Foteini Dimaraki, Katerina D. Tzimourta, Markos G. Tsipouras, Pantelis Angelidis:
From Pixels to Prognosis: Deep Learning Methods in Abdominal Aortic Aneurysm Imaging. IEEE Access 13: 213600-213629 (2025)- [j1]Aimilia Ntetska, Andreas Miltiadous, Markos G. Tsipouras, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Dimitrios G. Tsalikakis, Konstantinos Sakkas, Emmanouil D. Oikonomou, Nikolaos Grigoriadis, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas:
A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer's Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG. Data 10(5): 64 (2025) - [c4]Andreas Miltiadous, Konstantinos Sakkas, Emmanouil D. Oikonomou, Aimilia Ntetska, Nikolaos Giannakeas, Alexandros T. Tzallas:
Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. CBMS 2025: 775-780 - 2024
- [c3]Panagiotis N. Smyrlis, Gabriela R. Stancu, Foteini Dimaraki, Aimilia Ntetska, Thomai Karamitsou, Katerina D. Tzimourta, Markos G. Tsipouras, Pantelis Angelidis:
Aorta localization in Computed Tomography images: A YoloV9 segmentation approach. SEEDA-CECNSM 2024: 163-167 - [c2]Panagiotis N. Smyrlis, Aimilia Ntetska, Thomai Karamitsou, Foteini Dimaraki, Katerina D. Tzimourta, Pantelis Angelidis, Markos G. Tsipouras:
Yolov9 models for cancer detection in biopsy images: segmentation on pan-cancer data. SEEDA-CECNSM 2024: 174-178 - 2023
- [c1]Kosmas Glavas, Georgios Prapas, Aimilia Ntetska, Pinelopi Adamakidou, Pantelis Angelidis, Markos G. Tsipouras:
Real-Time Brain-Computer Interface Control of a Wheelchair Using Motor Imagery Commands. SEEDA-CECNSM 2023: 1-5
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