23 citations · 44 across the 16 of their papers we have counts for
4 papers · 1 filter
Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images
Roman Kinakh, Gonzalo R. Ríos-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…
The impact of gamification on learning outcomes: experiences from a Biomedical Engineering course
Gonzalo R. Ríos-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…
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
Carlos Garcia-Lopez-de-Haro, Caterina Fuster-Barcelo, Curtis T. Rueden +9
Mask annotation remains a significant bottleneck in AI-driven biomedical image analysis due to its labor-intensive nature. To address this challenge, we introduce SAMJ, a user-frie…