Daniela Godinho
Room in IBEB
1.03
Contacts
E-mail: dmgodinho[at]ciencias.ulisboa.pt
Professional networks
Curriculum
Research topics
- Artificial Intelligence
- Breast Cancer
- Image Processing
- Machine Learning
- Microwave Imaging
- Medical Imaging
- Signal Processing
Biography
Daniela Godinho was born in Fundão in 1994 and completed her Ph.D. in Biomedical and Biophysics Engineering in July 2022 at Faculdade de Ciências da Universidade de Lisboa (FCUL). She is currently an Invited Assistant Professor at FCUL and a researcher in Instituto de Biofísica e Engenharia Biomédica (IBEB).
She has a strong interest in programming, in different languages, and using this to do both signal and image processing, as well as machine learning. These were topics she explored during her Masters (Mestrado Integrado) in Biomedical Engineering at Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa. During her Bachelors, in 2013, she completed an internship in which she explored signal processing of uterus electromyography, which was part of a larger study which addressed premature births. In 2016, she completed her Masters dissertation in IBEB, she developed a classification-based application based on convolutional neural networks, a type of deep learning classifier, to classify electroencephalography signals.
In 2017, she started working as a researcher also in IBEB, and she implemented machine learning algorithms to improve microwave imaging for the detection and diagnosis of breast cancer. Later that year, she joined the team of NeuroPsyAI where she implemented image processing and machine learning algorithms in a product which is designed to aid doctors in the diagnosis of neuropsychiatric diseases. She started her Ph.D. in March 2018 in Biomedical and Biophysics Engineering at FCUL under the supervision of professor Raquel C. Conceição (IBEB/FCUL) and professor Carlos A. Fernandes (IT/IST). This project aimed to complete the design, simulation and validation of a microwave medical diagnosis system for axillary lymph nodes. Such system will contribute for improved staging of breast cancer, reducing pre-emptive removal of health lymph nodes, and consequently reducing patient morbidity and health care costs.
She mentored and supervised a number of research projects in IBEB in the area of MWI. She authored 10 journal papers, 4 of them as first author and 1 of them as senior author, and 14 conference papers and communications. She has also received 5 awards for her scientific work, 3 awards for her academic merit, and 1 award for her Ph.D. thesis (best PhD in Physical Sciences and Engineering in FCUL). She participated in initiatives of EIT Health community and was an active member of 3 COST Actions (TD1301, BM1309, CA17115), securing funding to participate in several international scientific meetings, European Training Schools, scientific missions, and international conferences.
Currently, besides teaching in Physics Department of FCUL, she is pursuing her research in the MWI area to build new diagnostic systems for breast cancer diagnosis.
Publications
Journal publications
(2023) Evaluating the Performance of Algorithms in Axillary Microwave Imaging towards Improved Breast Cancer Staging, Sensors 23(3), p. 1496, MDPI, doi:10.3390/s23031496
(2023) Dielectric Characterization of Healthy Human Teeth from 0.5 to 18 GHz with an Open-Ended Coaxial Probe, Sensors 23(3), p. 1617, MDPI, doi:10.3390/s23031617
(2022) Experimental Evaluation of an Axillary Microwave Imaging System to Aid Breast Cancer Staging, IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 6(1), p. 68-76, IEEE, doi:10.1109/JERM.2021.3097877
(2022) Modelling level I Axillary Lymph Nodes depth for Microwave Imaging, Physica Medica 104, p. 160-166, Elsevier, doi:10.1016/j.ejmp.2022.11.008
(2021) Evaluation of Refraction Effects in Dry Medical Microwave Imaging Setups, IEEE Antennas and Wireless Propagation Letters 20(4), p. 617-621, IEEE, doi:10.1109/LAWP.2021.3059162
(2021) Development of 3d mri-based anatomically realistic models of breast tissues and tumours for microwave imaging diagnosis, Sensors 21(24), p. 8265, MDPI, doi:10.3390/s21248265
(2021) Development of MRI-based axillary numerical models and estimation of axillary lymph node dielectric properties for microwave imaging, Medical Physics 48(10), p. 5974-5990, Wiley, doi:10.1002/mp.15143
(2020) Classification of breast tumor models with a prototype microwave imaging system, Medical Physics 47(4), p. 1860-1870, Wiley Online Library, doi:10.1002/mp.14064
(2018) Diagnosing breast cancer with microwave technology: Remaining challenges and potential solutions with machine learning, Diagnostics 8(2), doi:10.3390/diagnostics8020036
(2018) Diagnosing breast cancer with microwave technology: Remaining challenges and potential solutions with machine learning, Diagnostics 8(2), p. 36, Multidisciplinary Digital Publishing Institute, doi:10.3390/diagnostics8020036
Conference publications
(2023) Validation of Dielectric Properties Estimation from Magnetic Resonance Images to Accelerate Medical Microwave Applications, 17th European Conference on Antennas and Propagation, EuCAP 2023, p. 1-5, doi:10.23919/EuCAP57121.2023.10133676
(2022) Target Selection in Multistatic Microwave Breast Imaging Setup Using Dielectric Lens, 2022 16th European Conference on Antennas and Propagation, EuCAP 2022, p. 1-5, doi:10.23919/eucap53622.2022.9768984
(2022) Initial observations regarding the measurement of dielectric properties of human teeth, 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022, p. 1-2, doi:10.23919/AT-AP-RASC54737.2022.9814420
(2021) Optimisation of Artefact Removal Algorithm for Microwave Imaging of the Axillary Region Using Experimental Prototype Signals, 15th European Conference on Antennas and Propagation, EuCAP 2021, doi:10.23919/EuCAP51087.2021.9411134
(2020) Extracting Dielectric Properties for MRI-based Phantoms for Axillary Microwave Imaging Device, 14th European Conference on Antennas and Propagation, EuCAP 2020, p. 1-4, doi:10.23919/EuCAP48036.2020.9135980
(2020) Study of the Refraction Effects in Microwave Breast Imaging Using a Dry Setup, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2020-July, p. 1787-1790, doi:10.1109/EMBC44109.2020.9176439
(2019) Feasibility study of focal lens for multistatic microwave breast imaging, ICECOM 2019 - 23rd International Conference on Applied Electromagnetics and Communications, Proceedings, p. 1-5, doi:10.1109/ICECOM48045.2019.9163628
(2018) Extracting Features from Multistatic Signals in a Radar Microwave Imaging System for Breast Cancer Detection, Ursi At-Rasc 105(June), p. 295-311
(2017) Support Vector Machines to aid breast cancer diagnosis using a microwave radar prototype, 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 2017-Janua, p. 1-3, doi:10.23919/URSIGASS.2017.8105088
Book chapters
(2023) The Dielectric Properties of Axillary Lymph Nodes, Lecture Notes in Bioengineering Part F809, p. 235-272, Springer, doi:10.1007/978-3-031-28666-7_8
Dissertations/Thesis
(2022) Microwave Imaging to Improve Breast Cancer Diagnosis, doi:http://hdl.handle.net/10451/55585
(2022) Reconstruction of Microwave Imaging using Machine Learning
(2022) Medical Microwave Imaging of MRI-based Axillary region models via 3D Finite Difference Time Domain modelling
(2022) PID control of depth of hypnosis in anesthesia for propofol and remifentanil coadministration
(2016) Desenvolvimento de uma aplicação com recurso à unidade de processamento gráfico para classificação de sinais de Perturbações do Espectro do Autismo