Papers in international journals (full-paper reviewed)

1. Brown C, Mantzaris M, Nicolaou E, et al. A systematic review of miRNAs as biomarkers for chemotherapy-induced cardiotoxicity in breast cancer patients reveals potentially clinically informative panels as well as key challenges in miRNA research. Cardio-Oncology. 2022;8(1):16. doi:10.1186/s40959-022-00142-1| Lay summary (in PDF)
2. Stamoulou E, Spanakis C, Manikis GC, et al. Harmonization Strategies in Multicenter MRI-Based Radiomics. J Imaging. 2022;8(11):1-22. doi:10.3390/jimaging8110303 | Lay summary (in PDF)
3. Gkikas S, Tsiknakis M. Automatic assessment of pain based on deep learning methods: A systematic review. Comput Methods Programs Biomed. 2023;231:107365. doi:10.1016/j.cmpb.2023.107365 | Lay summary (in PDF)
4. Alexandraki A, Papageorgiou E, Zacharia M, et al. New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review. Cancers (Basel). 2023;15(13):3290. doi:10.3390/cancers15133290 | Lay summary (in PDF)
5. Sacco G, Mazocco K, Constantinidou A, et al. An interdisciplinary ecosystem for the psychosocial and behavioural management of Cardiotoxicity in elderly breast cancer patient: a prospective clinical study (Preprint). JMIR Research Protocols. 2024 doi:10.2196/preprints.63455 | Lay summary (in PDF)
6. Skaramagkas V, Kyprakis I, Karanasiou G, et al. A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data. IEEE EMBS. 2025 doi: 10.1109/OJEMB.2025.3526457 | Lay summary (in PDF)
7. Manikis G, Kalliatakis G, Marias K, et al. Association of echocardiographic radiomics-based features with cardiotoxicity effect in breast cancer patients from the CARDIOCARE project. European Heart Journal – Cardiovascular Imaging 2025 doi: 10.1093/ehjci/jeae333.028 | Lay summary (in PDF)
8. Mitsis A, Filis P, Karanasiou G, et al. Impact of e-Health Interventions on Mental Health and Quality of Life in Breast Cancer Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Cancers doi: 10.3390/cancers17111780 | Lay summary (in PDF)
9. Skaramagkas V, Kyprakis I, Karanasiou G, et. al. Towards PTSD Diagnosis Through ECG Anomaly Detection based on Autoencoders. EAI Endorsed Transactions on Pervasive Health and Technology doi: 10.4108/eetpht.11.9463 | Lay summary (in PDF)

Conferences

Papers in Proceedings of International Conferences (full-paper reviewed)

1. Tsiouris K, Mitsis A, Grigoriadis G, et al. Risk Stratification for Cardiotoxicity in Breast Cancer Patients: Predicting Early Decline of LVEF After Treatment. 2023 IEEE 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) doi: 10.1109/EMBC40787.2023.10340316
   

Papers in Proceedings of International Conferences (extended abstract reviewed)

1. Casini C, Monzani D, Masiero M, et al. Incorporating psycho-social factors in cancer treatment adverse events studies. Ann Oncol. 2022;33:S1199. (poster presentation) doi:10.1016/j.annonc.2022.07.1535
2. Karanasiou G, Grigoriadis G, Alexandraki A, et al. A multimodal approach for the management of co-morbid cardiotoxicity in the elderly breast cancer patients. Eur J Cancer. 2022;175:S40. (poster presentation) doi:10.1016/S0959-8049(22)01456-3

Poster presentations

1. Casini C, Monzani D, Masiero M, et al. Incorporating psycho-social factors in cancer treatment adverse events studies. Ann Oncol. 2022;33:S1199. | Poster in PDF
2. Karanasiou G, Grigoriadis G, Alexandraki A, et al. A multimodal approach for the management of co-morbid cardiotoxicity in the elderly breast cancer patients. Eur J Cancer. 2022;175:S40. | Poster in PDF
3. Kalliatakis G, Manikis G, Karanasiou G, et al. Automated  Left Ventricular Ejection Fraction (LVEF) measurement in 2D Echocardiography using DL-based Segmentation. IEEE 20th International Symposium on Biomedical Imaging (ISBI) | Poster in PDF
4. Karanasiou G, Koumakis L, Sfakianakis S, et. al. CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. IEEE 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | Poster in PDF
5. Kalliatakis G, Manikis G, Marias K. Deep Learning-based Automated Assessment of Reduced Left Ventricular Ejection Fraction by Echocardiography. 14th FORTH Scientific Retreat | Poster in PDF
6. Manikis G, Kalliatakis G, Marias K. Association of echocardiographic radiomics-based features with cardiotoxicity effect in breast cancer patients from the CARDIOCARE project. EuroEcho-Imaging 2024 | Poster in PDF
7. Antoniades A, Brown C, Aristodimou A et. al. Gut microbiome correlations with cardiotoxicity biomarkers (LV-GLS, LVEF, Troponin I, NTproBNP) in breast cancer patients prior to treatment. ESC Cardio-Oncology 2025 | Poster in PDF
8. Georga E, Kypriadis A, Karanasiou G et. al. Utilizing Machine Learning for the Identification of Pre-Treatment Prognostic Non-Imaging Biomarkers of Cancer Therapy-Related Cardiac Dysfunction in Female Patients with Breast Cancer. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025) | Poster in PDF