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Raquel C. Conceição
Raquel C. Conceição
Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa
Verified email at fc.ul.pt - Homepage
Title
Cited by
Cited by
Year
An introduction to microwave imaging for breast cancer detection
RC Conceição, JJ Mohr, M O'Halloran
Springer International Publishing, 2016
1722016
Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy
L Crocco, I Karanasiou, ML James, RC Conceição
Springer, 2018
932018
Comparison of planar and circular antenna configurations for breast cancer detection using microwave imaging
RC Conceicao, M O'Halloran, M Glavin, E Jones
Progress In Electromagnetics Research 99, 1-20, 2009
742009
Deep learning for tumour classification in homogeneous breast tissue in medical microwave imaging
B Gerazov, RC Conceicao
IEEE EUROCON 2017-17th International Conference on Smart Technologies, 564-569, 2017
712017
Support vector machines for the classification of early-stage breast cancer based on radar target signatures
RC Conceicao, M O'Halloran, M Glavin, E Jones
Progress In Electromagnetics Research B 23, 311-327, 2010
642010
FDTD modeling of the breast: A review
M O'Halloran, RC Conceicao, D Byrne, M Glavin, E Jones
Progress In Electromagnetics Research B 18, 1-24, 2009
552009
Classification of Breast Tumour Models with a Prototype Microwave Imaging System
RC Conceição, H Medeiros, DM Godinho, M O’Halloran, ...
Medical Physics, 2020
442020
Spiking neural networks for breast cancer classification in a dielectrically heterogeneous breast
M O'Halloran, B McGinley, RC Conceicao, F Morgan, E Jones, M Glavin
Progress In Electromagnetics Research 113, 413-428, 2011
442011
Investigation of classifiers for early-stage breast cancer based on radar target signatures
RC Conceicao, M O'Halloran, E Jones, M Glavin
Progress In Electromagnetics Research 105, 295-311, 2010
442010
Diagnosing Breast Cancer with Microwave Technology: remaining challenges and potential solutions with machine learning
BL Oliveira, D Godinho, M O’Halloran, M Glavin, E Jones, RC Conceição
Diagnostics 8 (2), 36, 2018
392018
Evaluation of features and classifiers for classification of early-stage breast cancer
RC Conceicao, M O'halloran, M Glavin, E Jones
Journal of Electromagnetic Waves and Applications 25 (1), 1-14, 2011
372011
Characterisation of Ex Vivo Liver Thermal Properties for Electromagnetic-Based Hyperthermic Therapies
NP Silva, A Bottiglieri, RC Conceição, M O’Halloran, L Farina
Sensors, 2020
352020
Initial classification of breast tumour phantoms using a UWB radar prototype
RC Conceicao, H Medeiros, M O'Halloran, D Rodriguez-Herrera, ...
2013 International Conference on Electromagnetics in Advanced Applications …, 2013
322013
Biometric Recognition: A Systematic Review on Electrocardiogram Data Acquisition Methods
T Pereira, RC Conceição, V Sencadas, R Sebastião
Sensors 23 (3), 1507, 2023
292023
Experimental evaluation of an axillary microwave imaging system to aid breast cancer staging
DM Godinho, JM Felício, CA Fernandes, RC Conceição
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology …, 2021
262021
Numerical modelling for ultra wideband radar breast cancer detection and classification
RC Conceicao, M O'Halloran, M Glavin, E Jones
Progress In Electromagnetics Research B 34, 145-171, 2011
262011
SVM-based classification of breast tumour phantoms using a UWB radar prototype system
RC Conceição, H Medeiros, M O'Halloran, D Rodriguez-Herrera, ...
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 1-4, 2014
232014
SPIKING NEURAL NETWORKS FOR BREAST CAN-CER CLASSIFICATION USING RADAR TARGET SIG-NATURES
B McGinley, M O’Halloran, RC Conceicao, F Morgan, M Glavin, E Jones
Progress In Electromagnetics Research C 16, 24, 2010
212010
Development of anatomically and dielectrically accurate breast phantoms for microwave imaging applications
M O'Halloran, S Lohfeld, G Ruvio, J Browne, F Krewer, CO Ribeiro, ...
Radar Sensor Technology XVIII 9077, 304-310, 2014
172014
Optimization of convergent collimators for pixelated SPECT systems
RM Capote, N Matela, RC Conceição, P Almeida
Medical Physics 40 (6), 13, 2013
172013
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