6 citations · 17 across the 13 of their papers we have counts for
14 papers
Attention-Based Segmentation of WMHs and Differentiation of Vascular vs. Demyelinating Lesions
Aina Tur-Serrano, Gabriel Moyà-Alcover, Francisco J. Perales López
White Matter Hyperintensities (WMHs) are commonly observed in brain Magnetic Resonance Imaging (MRI) scans. They are associated with various neurological conditions, including vasc…
CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
Hexin Dong, Yi Lin, Pengyu Zhou +25
Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing benchmarks often rely on cl…
Exploring SAIG Methods for an Objective Evaluation of XAI
Miquel Miró-Nicolau, Gabriel Moyà-Alcover, Anna Arias-Duart
The evaluation of eXplainable Artificial Intelligence (XAI) methods is a rapidly growing field, characterized by a wide variety of approaches. This diversity highlights the complex…
Enhancing Generalization in Sickle Cell Disease Diagnosis through Ensemble Methods and Feature Importance Analysis
Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
This work presents a novel approach for selecting the optimal ensemble-based classification method and features with a primarly focus on achieving generalization, based on the stat…
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
Esperança Amengual-Alcover, Antoni Jaume-i-Capó, Miquel Miró-Nicolau +2
The integration of Artificial Intelligence in the development of computer systems presents a new challenge: make intelligent systems explainable to humans. This is especially vital…
Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users
José María Buades Rubio, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
In this paper, we present a human-based computation approach for the analysis of peripheral blood smear (PBS) images images in patients with Sickle Cell Disease (SCD). We used the…
Geometric-Based Nail Segmentation for Clinical Measurements
Bernat Galmés, Gabriel Moyà-Alcover, Pedro Bibiloni +2
A robust segmentation method that can be used to perform measurements on toenails is presented. The proposed method is used as the first step in a clinical trial to objectively qua…
Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
The use of eXplainable Artificial Intelligence (XAI) systems has introduced a set of challenges that need resolution. The XAI robustness, or stability, has been one of the goals of…
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +4
The increasing reliance on Deep Learning models, combined with their inherent lack of transparency, has spurred the development of a novel field of study known as eXplainable AI (X…
A comprehensive study on fidelity metrics for XAI
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
The use of eXplainable Artificial Intelligence (XAI) systems has introduced a set of challenges that need resolution. Herein, we focus on how to correctly select an XAI method, an…
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets
M. Miró-Nicolau, A. Jaume-i-Capó, G. Moyà-Alcover
The evaluation of the fidelity of eXplainable Artificial Intelligence (XAI) methods to their underlying models is a challenging task, primarily due to the absence of a ground truth…
A novel approach to generate datasets with XAI ground truth to evaluate image models
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
With the increased usage of artificial intelligence (AI), it is imperative to understand how these models work internally. These needs have led to the development of a new field ca…
Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
In this work we propose an approach to select the classification method and features, based on the state-of-the-art, with best performance for diagnostic support through peripheral…
Improving concave point detection to better segment overlapped objects in images
Miquel Miró-Nicolau, Biel Moyà-Alcover, Manuel Gonzàlez-Hidalgo +1
This paper presents a method that improve state-of-the-art of the concave point detection methods as a first step to segment overlapping objects on images. It is based on the analy…