Applied Sciences, 2021

Privacy-preserving classification of EEG data using machine learning and homomorphic encryption

in 2021 International Society on Thrombosis and Haemostasis Congress (ISTH), Philadelphia, PA, Jul. 2021

Big-data and Machine Learning Prediction of Early and Late Mortality in ICU Patients with Venous Thromboembolism and Comparison with Classic Scoring Systems

at IEEE International Conference on Healthcare Informatics.

ASCAPE: An open AI ecosystem to support the quality of life of cancer patients

"Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Miloš Savić, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis and Miri

ASCAPE Publications old

D5.8 – Open Research Data Pilot Contribution

D5.2 Communication dissemination impact creation exploitation and standardization report

D5.1_Project_website

D4.1 Personalized interventions and user-centric visualizations

D3.1 Cancer-care predictive analytics and decision-making services proof of concept demonstration

D2.4 ML-DL Training and Evaluation Report

D1.1 Positioning ASCAPE's open Al infrasetructure in the after cancer-care Iron Triangle of Health

D1.2 ASCAPE Data Determinants and piloting validations