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• S. Segkouli, L. Mpaltadoros, A. T. Patenidis, V. Alepopoulos, A. Skoumbourdi, M. Grammatikopoulou, I. Kalamaras, I. Lazarou, P. Bamidis, D. Petsani, E. Konstantinidis, T. Santonen, S. Nikolopoulos, I. Kompatsiaris, K. Votis, D. Tzovaras, "Combined Multicomponent Interventions for Older Adults in a Smart Home Living Lab.", in Auer, M.E., Langmann, R., May, D., Roos, K. (eds) Smart Technologies for a Sustainable Future. STE 2024. Lecture Notes in Networks and Systems, vol 1028. Springer, Cham, 2024. https://doi.org/10.1007/978-3-031-61905-2_27
• P. Kampaktsis, I. Doulamis, R. Asleh, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, A. Drosou, H. Alnsasra, E. Duque, A. Briasoulis, "Characteristics, Predictors & Outcomes of Early mTOR Inhibitor Use After Heart Transplantation: Insights From the UNOS Database.", J Am Heart Assoc. 2022 Aug 24:e025507 (IF 6.1). (2022). https://doi.org/10.1161/JAHA.122.025507
• A. Swarup, A. Vella, I. Grujic, J. Frattolin, E. Makri, I. Kalamaras, A. Drosou, P. Thiruchelvam, J. E. Moore, "A Meta-Analysis to Determine the Risk of Breast Cancer Treatment Combinations on the Incidence of Breast Cancer-Related Lymphedema.", Annals of Surgical Oncology (Vol. 29, No. SUPPL 1, pp. 178-179), Springer, 2022.
• G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.", In Proceedings of the Northern Lights Deep Learning Workshop (Vol. 4). (2023, January).. https://septentrio.uit.no/index.php/nldl/article/view/6825
• P. Kampaktsis, I. Doulamis, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, P. Alvarez, A. Drosou, A. Briasoulis, "Characteristics, Predictors and Outcomes of Early Mammalian Target OF Rapamycin (mTOR) Inhibitor Use after Heart Transplantation; Insights from the United Network for Organ Sharing (UNOS) Database.", Journal of the American College of Cardiology, 79(9_Supplement), pp.492-492. 2022.