Raquel C. Conceição
Orcid: 0000-0002-0025-863XAffiliations:
- Universtiy of Lisbon, Campo Grande, Portugal
According to our database1,
Raquel C. Conceição
authored at least 17 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A Review on Intelligent Systems for ECG Analysis: From Flexible Sensing Technology to Machine Learning.
IEEE J. Biomed. Health Informatics, May, 2025
ECG-Based Biometric Identification: An Exploratory Study Using Fingertip Signals Acquired with Solid-State Electrodes.
Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025
2024
IEEE Access, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Exploring the Trade-Offs in ECG Biometrics: Impact of Acquisition Time and Temporal Separation.
Proceedings of the From Data to Models and Back - 12th International Symposium, 2024
2023
Biometric Recognition: A Systematic Review on Electrocardiogram Data Acquisition Methods.
Sensors, February, 2023
Evaluating the Performance of Algorithms in Axillary Microwave Imaging towards Improved Breast Cancer Staging.
Sensors, February, 2023
Dielectric Characterization of Healthy Human Teeth from 0.5 to 18 GHz with an Open-Ended Coaxial Probe.
Sensors, February, 2023
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023
2022
Sensors, 2022
2021
Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and Tumours for Microwave Imaging Diagnosis.
Sensors, 2021
Application of Machine Learning to Predict Dielectric Properties of In Vivo Biological Tissue.
Sensors, 2021
2020
Characterisation of Ex Vivo Liver Thermal Properties for Electromagnetic-Based Hyperthermic Therapies.
Sensors, 2020
Development of an Anthropomorphic Phantom of the Axillary Region for Microwave Imaging Assessment.
Sensors, 2020
Development of a 3D Anthropomorphic Phantom Generator for Microwave Imaging Applications of the Head and Neck Region.
Sensors, 2020
Study of the Refraction Effects in Microwave Breast Imaging Using a Dry Setup<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2017
Deep learning for tumour classification in homogeneous breast tissue in medical microwave imaging.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017