Scientific Publications

On Entropic Learning from Noisy Time Series in the Small Data Regime

Fast and close Shannon entropy approximation

An entropy-optimal path to humble AI

Digital Ethics Principles for the Development of AI-based stratification tools

Linearly-scalable and entropy-optimal learning of nonstationary and nonlinear manifolds

Co-Designing Trustworthy Connected Medical Devices: A Vee-Model Framework for Usability and Regulatory Alignment 

Incrementally Learning to Segment the Lungs: Similarities and Differences Across Institutions

From Pixels to Pathways: AI-based Approaches for Multimodal Lung Cancer Classification

Toward Generalizable Radiomics Models for EGFR Mutation Prediction A Multi-Dataset Evaluation

Entropic perspective on AI resilience, data-minimal learning and optimal control