???global.info.a_carregar???
Cláudia Santos Constantino. Completed the Mestrado integrado in Engenharia Biomédica in 2019/11/14 by Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia. Is Researcher in Fundação Champalimaud. Published 2 articles in journals. Has 1 section(s) of books. Organized 1 event(s). Participated in 5 event(s). Participates and/or participated as Researcher in 2 project(s). Works in the area(s) of Engineering and Technology with emphasis on Medical Engineering.
Identification

Personal identification

Full name
Cláudia Santos Constantino

Citation names

  • Constantino, Cláudia
  • Constantino, C. S.
  • Cláudia S. Constantino

Author identifiers

Ciência ID
6711-7326-A555
ORCID iD
0000-0003-4320-8437

Email addresses

  • c.constantino1107@gmail.com (Professional)
  • claudia.constantino@research.fchampalimaud.org (Professional)
  • claudia.constantino@fundacaochampalimaud.pt (Professional)

Telephones

Telephone
  • (+351) 915418717 (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Medical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Portuguese (Mother tongue)
Education
Degree Classification
2023/02 - 2026/02
Ongoing
 Biomedical Engineering (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Predicting lung cancer response to radiotherapy based on 18F-FDG PET/CT imaging and machine learning " (THESIS/DISSERTATION)
2014/09/20 - 2019/11/14
Concluded
 Engenharia Biomédica (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Reproducibility study of tumor biomarkers extracted from Positron Emission Tomography images with 18F-Fluorodeoxyglucose" (THESIS/DISSERTATION)
 17
Affiliation

Science

Category
Host institution 		Employer
2021/01/01 - Current Researcher (Research) Fundação Champalimaud, Portugal
2020/01/06 - 2020/12/31 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Others

Category
Host institution 		Employer
2019/01 - 2019/11 Master's thesis student Fundação Champalimaud, Portugal
2017/02/01 - 2017/02/28 Curricular internship at the Nuclear Medicine-Radiopharmacology department Fundação Champalimaud, Portugal
Projects

Grant

Designation Funders
2020/01/06 - 2020/12/31 PREDICT - Personalized therapy for RhEumatic DIseases via machine learning
PTDC/CCI-CIF/29877/2017
Researcher
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing

Contract

Designation Funders
2021/01/01 - 2023/02/28 LyRaCAD - Sistema CAD para análise de imagens PET/CT com FDG em linfomas - uma abordagem Radiomics
LISBOA-01-0247-FEDER-039885
Researcher
Fundação Champalimaud, Portugal
Ongoing
Outputs

Publications

Book chapter
  1. Constantino, Cláudia; Carvalho, Alexandra M.; Vinga, Susana. "Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis". In Machine Learning, Optimization, and Data Science, 125-136. Italy: Springer International Publishing, 2020.
    10.1007/978-3-030-64583-0_13
Conference abstract
  1. Constantino, C. S.; Oliveira, F. P. M.; Leocadio, S.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A.; et al. "Deep learning-based fully automatic segmentation of whole-body [18F]FDG PET/CT images from lymphoma patients: addition of CT data has poor impact on networks performance". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  2. Silva, L. C.; Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Vigario, R.; Costa, D. C.. "Image quantitative parameters using deep learning-based denoising of ultra-fast whole-body [18F]FDG PET/ CT are comparable to standard acquisitions". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  3. Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Costa, D. C.. "Feasibility and reproducibility of radiomic features in real world whole-body [18F]FDG PET/CT oncology studies". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  4. Oliveira, F.; Silva, A.; Castanheira, J.; Silva, M.; Constantino, C.; Costa, D. C.. "Deep learning is a promising tool for fully automatic malignant lesions identification and segmentation in whole-body bone scans". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  5. Sobral, M.; Oliveira, M.; Constantino, C.; Oliveira, F.; Matela, N.; Costa, D. C.. "Primary tumour type impacts 3D U-Net for [18F]FDG PET lesion segmentation performance in cases of lung cancer, melanoma, and lymphoma". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  6. Oliveira, Francisco; Cláudia S. Constantino; Ângelo Silva; Joana C. Castanheira; Rita Oliveira; Costa, Durval C.. "Deep learning is a promising tool for fully automatic malignant lesions identification and segmentation in whole-body [68Ga]Ga-PSMA PET/CT scans". Paper presented in RSNA 2023 Annual Meeting, Chicago, 2023.
    Published
  7. Oliveira, C.; Oliveira, F.; Constantino, C.; Marques, H. Pinto; Cardoso, F.. "SUV-based features from baseline 2-[18F]FDG-PET/CT in breast cancer patients differentiate tumor phenotypes but do not predict pathologic response to neoadjuvant chemotherapy". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  8. Ribeiro, A.; Leite, P.; Constantino, C. S.; Leocadio, S.; Oliveira, F.; Silva, M.; Oliveira, C.; et al. "Feasibility of fully automated deep learning-based segmentation of lymphoma lesions in whole-body [18F]FDG PET/CT images". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  9. Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Costa, D. C.. "Feasibility of very fast whole-body [18F]FDG PET/CT acquisitions using a digital scanner without image enhancement technology". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  10. Constantino, C. S.; Leocadio, S.; Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A.; et al. "Quantification of patient's tumor burden for the differentiation of lymphomas with [18F]FDG PET images". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  11. Rita Oliveira; Francisco P. M. Oliveira; Cláudia S. Constantino; Lina Vieira; Mauro Costa; Campos Costa, Durval. Corresponding author: Rita Oliveira. "Comparison of quantitative measures between EARL1 and EARL2 specifcations in PET/CT studies using Gallium-68". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published • 10.1007/s00259-021-05547-1
  12. Cláudia S. Constantino; Sónia Leocádio; Francisco P. M. Oliveira; Mariana Silva; Carla Oliveira; Joana C. Castanheira; Ângelo Silva; et al. Corresponding author: Cláudia S. Constantino. "Quantifcation of whole-body [18F]FDG avid lymphoma lesions: advantages of semiautomatic over manual segmentation". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published
  13. Ricardo Teixeira; Joana C. Castanheira; Ângelo Silva; Sofia Vaz; Mariana Silva; Ana Canudo; Rita Oliveira; et al. Corresponding author: Ricardo Teixeira. "[ 123I]FP-CIT SPECT reconstruction: FBP versus OSEM with resolution recovery - a quantitative and qualitative comparison". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published
  14. Constantino, C. S. (6711-7326-A555); Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Segmentação automática de lesões ávidas para FDG em PET/CT baseada numa técnica de clustering bayesiana". Paper presented in Congresso Nacional de Medicina Nuclear, Porto, 2019.
  15. Constantino, C. S.; Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Extração de características de lesões ávidas para FDG: estudo da reprodutibilidade entre Philips Vereos Digital e GEMINI TF16 PET/CT". Paper presented in Congresso Nacional de Medicina Nuclear, Porto, 2019.
  16. Constantino, C. S. (6711-7326-A555); Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Reproducibility Study of Lesion Features Extracted from 18F-FDG PET Images of the Same Patients Acquired on Two Philips PET/CT Scanners: Digital VEREOS versus GEMINI TF". Paper presented in Annual Congress of the European Association of Nuclear Medicine, Barcelona, 2019.
    Published • 10.1007/s00259-019-04486-2
Conference paper
  1. Cláudia S. Constantino; Oliveira, Francisco; Sónia Leocádio; Mariana Silva; Carla Oliveira; Joana C. Castanheira; Ângelo Silva; et al. "A robust deep-learning model for fully automatic segmentation of lymphoma lesions on whole-body [18F]FDG PET/CT images". Paper presented in IEEE International Symposium on Biomedical Imaging, 2024.
    Accepted
Journal article
  1. Cláudia S. Constantino; Sónia Leocádio; Francisco P. M. Oliveira; Mariana Silva; Carla Oliveira; Joana C. Castanheira; Ângelo Silva; et al. "Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization". Journal of Digital Imaging (2023): https://doi.org/10.1007/s10278-023-00823-y.
    10.1007/s10278-023-00823-y
  2. Constantino, Cláudia S.; Carvalho, Alexandra M.; Vinga, Susana. "Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis". BioData Mining 14 1 (2021): http://dx.doi.org/10.1186/s13040-021-00257-8.
    10.1186/s13040-021-00257-8
  3. Constantino, Cláudia S.; Oliveira, Francisco P. M.; Silva, Mariana; Oliveira, Carla; Castanheira, Joana C.; Silva, Ângelo; Vaz, Sofia C.; Vieira, Pedro; Costa, Durval C.. "Are lesion features reproducible between 18F-FDG PET/CT images when acquired on analog or digital PET/CT scanners?". European Radiology 31 5 (2020): 3071-3079. http://dx.doi.org/10.1007/s00330-020-07390-8.
    Published • 10.1007/s00330-020-07390-8
Thesis / Dissertation
  1. Constantino, Cláudia S.. "Reproducibility Study of Tumor Biomarkers Extracted from Positron Emission To-mography Images with 18F-Fluorodeoxyglucose". Master, Universidade Nova de Lisboa, 2019. http://hdl.handle.net/10362/91156.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2022/05/26 Invited Speaker: "Noções básicas de segmentação e quantificação em imagem médica" XVIII National Congress of Nuclear Medicine 2022
Sociedade Portuguesa de Medicina Nuclear (Coimbra , Portugal)
2021/10/20 Quantifcation of whole-body [18F]FDG avid lymphoma lesions: advantages of semiautomatic over manual segmentation Annual Congress of the European Association of Nuclear Medicine
European Journal of Nuclear Medicine and Molecular Imaging
2020/07 Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis International Conference on Machine Learning, Optimization, and Data Science
(Italy)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2017/01/30 - 2017/02/01 Main Organizer of BEST Week 2017 (3 days with companies and workshops for engineering students). (2017/01/30 - 2017/02/01)
Workshop
 Universidade Nova de Lisboa, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2021/10/20 - 2021/10/23 Participation in "34th Annual Congress of the European Association of Nuclear Medicine"
Congress
 34th Annual Congress of the European Association of Nuclear Medicine
European Association of Nuclear Medicine, Austria
2021/10/13 - 2021/10/15 Dialogues on Neural and Machine Intelligence
Symposium
 Champalimaud Research Symposium 2021
Fundação Champalimaud, Portugal
2019/11/15 - 2019/11/15 Participation in "Symposium on Imaging Hallmarks of Cancer - Pancreatic Cancer: From Cell Biology to Treatment" Symposium on Imaging Hallmarks of Cancer
Fundação Champalimaud, Portugal
2019/10 - 2019/10 Participation in "32nd Annual Congress of the European Association of Nuclear Medicine", Barcelona, Espanha
Congress
 32nd Annual Congress of the European Association of Nuclear Medicine
European Association of Nuclear Medicine, Austria
2019/05/17 - 2019/05/18 Participation in "The Wizardry of Artificial Intelligence", Lisboa The Wizardry of Artificial Intelligence
Fundação Champalimaud, Portugal

Ad Hoc journal article review

Journal title (ISSN) Publisher
2023 - Current The British journal of radiology
2022 - Current European Radiology (1613-3749) Springer
2021 - Current International Journal of Computer Assisted Radiology and Surgery (1861-6429) Springer