Δημοσιεύσεις

2024


Skampardoni, Ioanna, Nasrallah, Ilya M, Abdulkadir, Ahmed, Wen, Junhao, Melhem, Randa, Mamourian, Elizabeth, Erus, Guray, Doshi, Jimit, Singh, Ashish, Yang, Zhijian, others. “Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals”. JAMA psychiatry, vol. 81, pp. 456--467, 2024.
Chatzidaki, Evi, Chioti, Vassiliki, Mourtou, Lidia, Papavasileiou, Georgia, Kitani, Rosa-Anna, Kalafatis, Eleftherios, Mitsis, Kostas, Athanasiou, Maria, Zarkogianni, Konstantia, Nikita, Konstantina, others. “Parenting Styles and Psychosocial Factors of Mother--Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic”. Children, vol. 11, pp. 107, 2024.

2023


Jacobs, Peter G, Herrero, Pau, Facchinetti, Andrea, Vehi, Josep, Kovatchev, Boris, Breton, Marc, Cinar, Ali, Nikita, Konstantina, Doyle, Frank, Bondia, Jorge, others. “Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities”. IEEE reviews in biomedical engineering, 2023.

2022


Kiourti, Asimina, Abbosh, Amin M, Athanasiou, Maria, Björninen, Toni, Eid, Aline, Furse, Cynthia, Ito, Koichi, Lazzi, Gianluca, Manoufali, Mohamed, Pastorino, Matteo, others. “Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications”. IEEE Open Journal of Antennas and Propagation, vol. 3, pp. 363--390, 2022.

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.

2019


Fico, Giuseppe, Hernanzez, Liss, Cancela, Jorge, Dagliati, Arianna, Sacchi, Lucia, Martinez-Millana, Antonio, Posada, Jorge, Manero, Lidia, Verdu, Jose, Facchinetti, Andrea, others. “What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project”. BMC medical informatics and decision making, vol. 19, pp. 163, 2019.