Publications
2025
Exploiting Trusted Execution Environments and Distributed Computation for Genomic Association Tests Brito, C., Ferreira, P., Paulo, J. IEEE Journal of Biomedical and Health Informatics To appear.
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, Â., & Pereira, M. G. European Journal of Investigation in Health, Psychology and Education 
Promoting sustainable and personalized travel behaviors while preserving data privacy Brito, C., Pina, N., Esteves, T., Vitorino, R., Cunha, I., Paulo, J. Transportation Engineering 
2024
MAC: An Artifact Correction Framework for Brain MRI based on Deep Neural Networks Oliveira, A. and Cepa, B. and Brito, C. and Sousa, A. BioRxiv 
To FID or not to FID: Applying GANs for MRI Image Generation in HPC Cepa, B. and Brito, C. and Sousa, A. BioRxiv 
Towards a Privacy-Preserving Distributed Machine Learning Framework. Brito, C. PhD Thesis 
A Distributed Computing Solution for Privacy-Preserving Genome-Wide Association Studies. Brito, C., Ferreira, P., Paulo, J. BioRxiv
2023
Privacy-Preserving Machine Learning on Apache Spark. Brito, C., Ferreira, P., Portela, B., Oliveira, R., Paulo, J. IEEE Access.
Generative Adversarial Networks in Healthcare: A Case Study on MRI Image Generation Cepa, B., Brito, C., Sousa, A. 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
SOTERIA: Preserving Privacy in Distributed Machine Learning. Brito, C., Ferreira, P., Portela, B., Oliveira, R., Paulo, J. Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing.
Emission-Aware Federated Learning: A Case Study on Transportation and Carbon Footprint Brito C., Pina N., Vitorino R., Cunha I., Paulo J. EuroSys 2023, Poster Session.
Promoting sustainable and personalised travel behaviours while preserving data privacy Pina, N., Brito, C., Vitorino, R., Cunha, I. Transportation Research Procedia
2022
Cloud-Based Privacy-Preserving Medical Imaging System Using Machine Learning Tools Alves J., Soares B., Brito C., Sousa A. Progress in Artificial Intelligence. EPIA 2022.
2021
The Case for Storage Optimization Decoupling in Deep Learning Frameworks
Ricardo Macedo, Cláudia Correia, Marco Dantas, Cláudia Brito, Weijia Xu, Yusuke Tanimura, Jason Haga, João Paulo.
IEEE International Conference in Cluster Computing @ 1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads, 2021
2019
Electrocardiogram Beat-Classification Based on a ResNet Network. Brito C., Machado A., Sousa A. MEDINFO 2019: Health and Wellbeing e-Networks for All
A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis Brito C., Esteves M., Peixoto H., Abelha A., Machado J. Wireless Networks
2018
Assessment of an IoT Platform for Data Collection and Analysis for Medical Sensors Rei J., Brito C., Sousa A. IEEE 4th International Conference on Collaboration and Internet Computing (CIC) (2018) 405-411
2017
Continuous ambulatory peritoneal dialysis: Business intelligence applied to patient monitoring: CAPD study and statistics Peixoto C., Brito C., Fontainhas M., Peixoto H., Machado J., Abelha A. Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 (2017) 2017-January 178-185
