AI for Health
DESCRIPTION
Artificial Intelligence has become pivotal for research and innovation in health care. An increasing number of algorithms find their way to clinical practice providing powerful solutions and assisting medical doctors in their everyday practice. We study deep-learning-based approaches in this domain and work towards novel, unbiased, and generalizable algorithms for cancer treatment and response to immunotherapy. Of particular interest are learning schemes for training on gigapixel histopathological slides, transformer-based architectures with different attention schemes for the fusion of histopathology and genetic/clinical information, and bias identification and domain adaptation methods based on the image-to-image translation and adversarial attacks for addressing domain shifts and possibly biological and clinical biases.
RESEARCHERS
Alexandros Potamianos
National Technical University of Athens, Greece & HERON Robotics Center of Excellence, Greece
Archontis Giannakidis
Nottingham Trent University, UK
Christos Diou
Harokopio University of Athens, Greece
Efstratios Gavves
University of Amsterdam, The Netherlands
Giorgos Papanastasiou
University of Essex, UK
Ion (Ioannis) Androutsopoulos
Athens University of Economics and Business, Greece
Kostas Athanasakis
University of West Attica, Greece
Maria Papadopouli
University of Crete, Greece & Foundation for Research and Technology-Hellas (FORTH), Greece
Maria Vakalopoulou
Centrale Supélec, University Paris-Saclay, France
Nikos Komodakis
University of Crete, Greece
Polydoros Kampaktsis
Aristotle University of Thessaloniki, Greece
Sophia Ananiadou
University of Manchester, UK
