Publications

A comprehensive evaluation of ECG-based patient identification under health and activity conditions.

A perspective on the critical contributions and challenges of bioimage analysts in biological research.

AI-powered assistant transforming the way researchers interact with bioimage analysis tools.

Empowering researchers with deepImageJ: bridging deep learning and accessible biological image analysis.

Making deep learning in microscopy truly portable and reproducible across environments.

PPG-based matrix representation and explainable deep learning for accurate and interpretable AF detection.

Biometric identification using ELEKTRokardiomatrix with Convolutional Neural Networks. Achieved 99.53% accuracy with minimal error rates using simple CNN architectures.

A user-friendly plugin that brings Segment Anything to the Fiji ecosystem for fast, interactive image annotation.

An analysis of the financial challenges facing Ph.D. students in Spain, focusing on scholarships and living costs.

Presentación en póster sobre el uso de técnicas de Deep Learning para estimar la proporción de hidrops endolinfático en pacientes con la enfermedad de Mènière.

Using short PPG traces and musical features to detect atrial fibrillation with high accuracy.

Presented at the ECBA Workshop on effectively communicating bioimage analysis.