Study and development of algorithms for medical applications, with special emphasis on the explainability of the models, and the design of interfaces for human-computer interaction.
The are two main projects: applications with medical images and evidence-based medicine.
Pablo Messina, Pablo Pino, Andrés Carvallo, Ricardo Schilling, Tamara Covacevich, Gregory Schuit, Ria Deane, Daniel Florea, Vicente Castro, José Miguel Quintana
Cecilia Besa, Sergio Uribe, Marcelo Andía, Gabriel Rada
Clinically Correct Report Generation from Chest X-Rays Using Templates
and Lagos, Claudio
In Machine Learning in Medical Imaging
Automatic document screening of medical literature using word and text embeddings in an active learning setting
and Soto, Alvaro
Inspecting state of the art performance and NLP metrics in image-based medical report generation