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20202026
most citedEnhancing Generalization in Sickle Cell Disease Diagnosis through Ensemble Methods and Feature Importance Analysis

6 citations · 16 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025★ 3 cited

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024★ 2 cited

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…