Publications
Nikita, Konstantina S.. “A Farewell From the Founding Editor-in-Chief”. IEEE Open Journal of Antennas and Propagation, vol. 3, 2022.
Karagiannis, Dimitrios, Mitsis, Konstantinos, Nikita, Konstantina S.. “Development of a Low-Power IoMT Portable Pillbox for Medication Adherence Improvement and Remote Treatment Adjustment”. Sensors, vol. 22, 2022.
Karagiannis, Dimitrios, Maglogiannis, Ilias, Nikita, Konstantina S., Tsanakas, Panayiotis. “Hardware/Software Co-Design of a Low-Power IoT Fall Detection Device”. Internet of Things. Technology and Applications, pp. 146--159, 2022.
Zannos, Solomon, Nikitopoulos, Dimitris, Gryparis, Vassilis, Tzounis, Lazaros, Nikita, Konstantina, Maglogiannis, Ilias, Tsanakas, Panayiotis. “Promoting Medication Adherence by Redesigning Medical Blisters - The Smartblister approach”. 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1-5, 2022.
2021
Konstantina S. Nikita. “IEEE OJAP Turns One: Reflecting on the First Year of the IEEE Open Journal of Antennas and Propagation”. IEEE Open Journal of Antennas and Propagation, vol. 2, pp. 1-2, 2021.
Adamidi, Eleni S., Mitsis, Konstantinos, Nikita, Konstantina S.. “Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review”. Computational and Structural Biotechnology Journal, vol. 19, pp. 2833--2850, 2021.
Bounias, Dimitrios, Singh, Ashish, Bakas, Spyridon, Pati, Sarthak, Rathore, Saima, Akbari, Hamed, Bilello, Michel, Greenberger, Benjamin A, Lombardo, Joseph, Chitalia, Rhea D, others. “Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs”. Applied Sciences, vol. 11, pp. 7488, 2021.
Stylianos Vasileios Kontomaris, Andreas Stylianou, Konstantina S. Nikita, Anna Malamou. “A Discussion Regarding the Application of the Hertz Contact Theory on Biological Samples in AFM Nanoindentation Experiments”. Micro and Nanosystems, vol. 13, pp. 42-48, 2021.
Zarkogianni, K, Athanasiou, M, Mitsis, K, Vasilakis, I, Kosteria, I, Perakis, K, Vergeti, D, Antonopoulou, D, Papachristou, E, Chioti, V, others. “The Endorse Pilot Trial”. Diabetes Technology & Therapeutics, pp. A68--A68, 2021.
Zarkogianni, K, Athanasiou, M, Mitsis, K, Chatzidaki, E, Polychronaki, N, Perakis, K, Vergeti, D, Antonopoulou, D, Papachristou, E, Chioti, V, others. “A Comprehensive Approach To Empower Self-Management of Health in Childhood Obesity Based on Gamification Mechanisms and Biofeedback”. Diabetes Technology & Therapeutics, pp. A57--A58, 2021.
Athanasiou, M, Zarkogianni, K, Monou, S, Kosteria, I, Vasilakis, I, Kanaka-Gantenbein, C, Nikita, K. “An Interpretable LSTM-Based Prediction Model For Assessing The Risk of Hospitalization And Re-Hospitalization in Youth With Type 1 Diabetes Mellitus”. Diabetes Technology & Therapeutics, pp. A27--A28, 2021.
Athanasiou, Maria, Zarkogianni, Konstantia, Karytsas, Konstantinos, Nikita, Konstantina S.. “An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus”. 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), pp. 1-5, 2021.
Melanitis, Nikos, Nakopoulos, Giorgos, Lozano, Antonio, Soto-Sanchez, Cristina, Fernandez, Eduardo, Nikita, Konstantina S.. “Using Biologically-inspired Image Features to Model Retinal Response: Evidence from Biological Datasets”. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), pp. 3378-3381, 2021.
Ganitidis, Theofanis, Athanasiou, Maria, Dalakleidi, Kalliopi, Melanitis, Nikos, Golemati, Spyretta, Nikita, Konstantina S.. “Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images”. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), pp. 3902-3905, 2021.
Karatza, P., Dalakleidi, K., Athanasiou, M., Nikita, K.S.. “Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis”. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), pp. 2310-2313, 2021.
Papadopoulos, Nikolas, Melanitis, Nikos, Lozano, Antonio, Soto-Sanchez, Cristina, Fernandez, Eduardo, Nikita, Konstantina S.. “Machine Learning Method for Functional Assessment of Retinal Models”. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), pp. 4293-4296, 2021.
Benetatos, Alexandros, Melanitis, Nikos, Nikita, Konstantina S.. “Assessing Vision Quality in Retinal Prosthesis Implantees through Deep Learning: Current Progress and Improvements by Optimizing Hardware Design Parameters and Rehabilitation”. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), pp. 6130-6133, 2021.
2020
Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis Zervakis, Joel H. Saltz, Constantinos S. Pattichis. “AI and Medical Imaging Informatics: Current Challenges and Future Directions”. IEEE Journal of Biomedical and Health Informatics, 2020.