Beatriz Cepa

I am a PhD Student and Research Assistant at the High-Assurance Software Laboratory (HASLab), INESC TEC. In 2022, I graduated with a Master's degree in Biomedical Engineering at the University of Minho, specializing in Medical Informatics. This academic journey allowed me to contact and work in fields such as Machine and Deep Learning, distributed and web applications, and medical imaging informatics. In March 2023, I enrolled in the Doctoral Program in Informatics at the University of Minho and concurrently joined INESC TEC as a Research Assistant at HASLab in the fields of Distributed Systems and Medical Imaging. My PhD is centered on developing a scalable and user-friendly solution to analyze dMRI images, leveraging existing neuroimaging tools and parallelization strategies.

Domains

Bioengineering Computer Science and Engineering

Publications

Risk Assessment Profiles for Caregiver Burden in Family Caregivers of Persons Living with Alzheimer's Disease: An Exploratory Study with Machine Learning

Brito, L;Cepa, B;Brito, C;Leite, A;Pereira, MG;

2025

EUROPEAN JOURNAL OF INVESTIGATION IN HEALTH PSYCHOLOGY AND EDUCATION

To FID or not to FID: Applying GANs for MRI Image Generation in HPC

Cepa, B;Brito, C;Sousa, A;

2024

MAC: An Artifact Correction Framework for Brain MRI based on Deep Neural Networks

Oliveira, A;Cepa, B;Brito, C;Sousa, A;

2024

Generative Adversarial Networks in Healthcare: A Case Study on MRI Image Generation

Cepa, B;Brito, C;Sousa, A;

2023

2023 IEEE 7TH PORTUGUESE MEETING ON BIOENGINEERING, ENBENG

Centres

High-Assurance Software

At the High-Assurance Software Laboratory (HASLab), we improve practice through theory, creating and implementing software that goes beyond mere functionality: we ensure it is correct, resilient, and secure against failures and attacks. Our team of researchers, scientists, and engineers has proven expertise in software engineering, developing methods and tools to design and integrate robust software; in distributed systems, exploring distribution and replication to ensure scalability and reliability; and in information security, addressing cybersecurity challenges and improving systems with advanced, secure cryptographic protocols, thus minimising vulnerabilities. With a multidisciplinary approach supported by solid theoretical principles, we develop innovative solutions for critical software, secure cloud infrastructures, and privacy-aware big data management, driving scientific advancement, innovation, and high-level consultancy. In addition, we complement our core expertise with work in human-computer interaction, programming languages, computational mathematics, and quantum computing - because we believe the future of trustworthy software is built on knowledge and innovation.