5 papers
Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images
Roman Kinakh, Gonzalo R. RÃos-Muñoz, Arrate Muñoz-Barrutia
Accurate assessment of PD-L1 expression is critical for guiding immunotherapy, yet current immunohistochemistry (IHC) based methods are resource-intensive. We present nnUNet-B: a B…
CLARAE: Clarity Preserving Reconstruction AutoEncoder for Denoising and Rhythm Classification of Intracardiac Electrograms
Long Lin, Pablo Peiro-Corbacho, Pablo Ãvila +4
Intracavitary atrial electrograms (EGMs) provide high-resolution insights into cardiac electrophysiology but are often contaminated by noise and remain high-dimensional, limiting r…
The impact of gamification on learning outcomes: experiences from a Biomedical Engineering course
Gonzalo R. RÃos-Muñoz, Caterina Fuster-Barcelo, Arrate Muñoz-Barrutia
This study examines the integration of digital tools in project-based learning within a Biomedical Engineering course to enhance collaboration, transparency, and assessment fairnes…
Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodology
Caterina Fuster-Barcelo, Gonzalo R. Rios-Munoz, Arrate Munoz-Barrutia
This study examines the integration of digital collaborative tools and structured peer evaluation in the Machine Learning for Health master's program, through the redesign of a Bio…
Latent Representations of Intracardiac Electrograms for Atrial Fibrillation Driver Detection
Pablo Peiro-Corbacho, Long Lin, Pablo Ãvila +4
Atrial Fibrillation (AF) is the most prevalent sustained arrhythmia, yet current ablation therapies, including pulmonary vein isolation, are frequently ineffective in persistent AF…