Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe-the ASCAPE project for breast cancer patients 2021

  • Valachis, A.
  • Autexier, S.
  • Grau, I.
  • Itu, L.
  • Jakotevic, D.
  • Kosmidis, T.
  • Kosmidis, P.

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients

The 13th International ACM Conference on Management of Digital EcoSystems (MEDES'21).

  • Miloš Savić
  • Vladimir Kurbalija
  • Mihailo Ilić
  • Mirjana Ivanović
  • Dušan Jakovetić
  • Antonios Valachis
  • Serge Autexier
  • Johannes Rust
  • Thanos Kosmidi

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

Applied Sciences, 2021

  • Andreea Bianca Popescu
  • Ioana Antonia Taca
  • Cosmin Ioan Nita
  • Anamaria Vizitiu
  • Robert Demeter
  • Constantin Suciu
  • Lucian Mihai Itu

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

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

  • V. Da'nilatou
  • D. Mavroidis
  • D. Antonakaki
  • A. Kanterakis
  • C. Tzagkarakis
  • T. Kostoulas
  • S. Ioannidis

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

at IEEE International Conference on Healthcare Informatics.

  • Konstantinos Lampropoulos
  • Thanos Kosmidis
  • Serge Autexier
  • Miloš Savić
  • Manos Athanatos
  • Miltiadis Kokkonidis
  • Tzortzia Koutsouri
  • Anamaria Vizitiu
  • Antonios Valachis
  • Miriam Quintero Padron