Caterina Fuster-Barceló
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View article: The impact of gamification on learning outcomes: experiences from a Biomedical Engineering course
The impact of gamification on learning outcomes: experiences from a Biomedical Engineering course Open
This study examines the integration of digital tools in project-based learning within a Biomedical Engineering course to enhance collaboration, transparency, and assessment fairness. Building on prior pilot experiences, we implemented a st…
View article: Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodology
Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodology Open
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 Biomedical Image Processing course over two academic years. Th…
View article: SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model Open
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-friendly ImageJ/Fiji plugin leveraging the Segment Anything Mod…
View article: ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions
ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions Open
Over the course of the past two decades, a substantial body of research has substantiated the viability of utilising cardiac signals as a biometric modality. This paper presents a novel approach for patient identification in healthcare sys…
View article: The crucial role of bioimage analysts in scientific research and publication
The crucial role of bioimage analysts in scientific research and publication Open
Bioimage analysis (BIA), a crucial discipline in biological research, overcomes the limitations of subjective analysis in microscopy through the creation and application of quantitative and reproducible methods. The establishment of dedica…
View article: Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ
Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ Open
This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in the life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained…
View article: Bridging the gap: Integrating cutting-edge techniques into biological imaging with deepImageJ
Bridging the gap: Integrating cutting-edge techniques into biological imaging with deepImageJ Open
This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained con…
View article: BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging Open
We present the BioImage$.$IO Chatbot, an AI assistant powered by Large Language Models and supported by a community-driven knowledge base and toolset. This chatbot is designed to cater to a wide range of user needs through a flexible exten…
View article: ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions
ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions Open
Over the course of the past two decades, a substantial body of research has substantiated the viability of utilising cardiac signals as a biometric modality. This paper presents a novel approach for patient identification in healthcare sys…