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Identificação

Identificação pessoal

Nome completo
Luís Filipe Caeiro Margalho Guerra Rosado

Nomes de citação

  • Rosado, Luís

Identificadores de autor

Ciência ID
6510-C0BA-7BD2
ORCID iD
0000-0002-8060-831X
Google Scholar ID
7dIAOMEAAAAJ&hl
Scopus Author Id
35604588400

Websites

  • https://www.linkedin.com/in/luís-rosado-4543594a/ (Profissional)

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Informação
Formação
Grau Classificação
2014
Concluído
Engenharia Biomédica (Doutoramento)
Especialização em Machine Learning e Visão Computacional
Universidade do Porto Faculdade de Engenharia, Portugal
"Computer-aided Detection of Malaria Parasites " (TESE/DISSERTAÇÃO)
2004/09/13 - 2009/10/15
Concluído
Engenharia Biomédica (Mestrado integrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Automatic System for Diagnosis of Skin Lesions Based on Dermoscopic Images" (TESE/DISSERTAÇÃO)
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2011/09/01 - Atual Investigador Contratado (Investigação) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
2011/03/01 - 2011/09/01 Estagiário de Investigação (Investigação) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2010/02/15 - 2011/02/15 Estágio Profissional em Visão Computacional Reverse Engineering - Sistemas De Metrologia E Multimédia, Lda, Portugal
Reverse Engineering - Sistemas De Metrologia E Multimédia, Lda, Portugal
Projetos

Projeto

Designação Financiadores
2022/12/01 - 2026/10/30 AISym4Med - Synthetic and Scalable Data Platform for Medical Empowered AI
Investigador
Associação Fraunhofer Portugal Research, Portugal
European Commission
Em curso
2022/01/10 - 2024/12/31 Agenda Microeletrónica
Investigador
Associação Fraunhofer Portugal Research, Portugal
Agência para a Competitividade e Inovação IP
Em curso
2022/01/01 - 2023/06/30 NewGenTSFAE - New Generation Test Systems for Future Automotive Electronics
POCI-01-0247-FEDER-046990
Investigador
Agência Nacional de Inovação SA
Concluído
2021/03/09 - 2023/06/30 SmartColor4Ceramics: Smart Color Replication for Ceramics
C30/2020/69890
Agência Nacional de Inovação SA
Concluído
2020/02/27 - 2023/06/30 TAMI: Transparent Artificial Medical Intelligence
C41/2019/45905
Agência Nacional de Inovação SA
Concluído
2019/06/28 - 2022/11/30 EyesOnTraps: Smart Learning Traps for Vineyard Health Monitoring
C30/2017/39912
Agência Nacional de Inovação SA
Concluído
2018 - 2021 CLARE: Computer-Aided Cervical Cancer Screening
PTDC/EMD-EMD/28857/2017
Fundação para a Ciência e a Tecnologia
Concluído
2019 - 2020 Derm.AI: Usage of Artificial Intelligence to Power Teledermatological Screening
Investigador
Associação Fraunhofer Portugal Research, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2016 - 2020 Deus ex Machina (DEM): Symbiotic technology for societal efficiency gains
NORTE-01-0145-FEDER-000026
Governo da República Portuguesa
Concluído
2018 - 2019 MDevNet: National Network for Knowledge Transfer on Medical Devices
POCI-01-0246-FEDER-026792
Governo da República Portuguesa
Concluído
2013/06/01 - 2015 SMARTSKINS : A Novel Framework for Supervised Mobile Assessment and Risk Triage of Skin lesions via Non-invasive Screening
PTDC/BBB-BMD/3088/2012
Fundação para a Ciência e a Tecnologia
Concluído
2013/05/29 - 2015 SAL: Service Assisted Living
C16/2012/30377
Agência Nacional de Inovação SA
Concluído
2013/01/23 - 2015 ShopView: A Solution for Supermarket Shelf Layout Validation
C16/2012/30335
C31/2015/6389
Agência Nacional de Inovação SA
Concluído
Produções

Publicações

Artigo em conferência
  1. Pedro Madeira; André Carreiro; Alex Gaudio; Luís Rosado; Filipe Soares; Asim Smailagic. "ZEBRA: Explaining rare cases through outlying interpretable concepts". 2023.
    10.1109/cvprw59228.2023.00392
  2. Ana C. Morgado; Tomas Souper; Ana Marques; Inês Silva; Luís Rosado. "Reinforcement Learning to Improve Color Adjustments in the Ceramic Industry". 2023.
    10.1145/3589883.3589920
  3. Tomas Souper; Ana C. Morgado; Ana Marques; Inês Silva; Luís Rosado. "Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning". 2023.
    10.1145/3589883.3589917
  4. Oliveira, E.; Braga, C.; Sampaio, A.; Oliveira, T.; Soares, F.; Rosado, L.. "Designing XAI-based Computer-aided Diagnostic Systems: Operationalising User Research Methods". 2023.
  5. Moreira, D.; Alves, P.; Veiga, F.; Rosado, L.; Vasconcelos, M.J.M.. "Automated mobile image acquisition of macroscopic dermatological lesions". 2021.
  6. Rosado, Luís; Oliveira, João; João M. Vasconcelos, Maria; M. Correia da Costa, José; Elias, Dirk; S. Cardoso, Jaime. "µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage". Trabalho apresentado em BIODEVICES 2017, 2017.
    Publicado • 10.5220/0006155800380048
  7. Rosado, L.; Da Costa, J.M.C.; Elias, D.; Cardoso, J.S.. "Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices". 2016.
    10.1016/j.procs.2016.07.024
  8. Rosado, L.; Goncalves, J.; Costa, J.; Ribeiro, D.; Soares, F.. "Supervised learning for Out-of-Stock detection in panoramas of retail shelves". 2016.
    10.1109/IST.2016.7738260
  9. Vasconcelos, Maria Joao M.; Rosado, Luis; Ferreira, Marcia. "A new risk assessment methodology for dermoscopic skin lesion images". 2015.
    10.1109/MeMeA.2015.7145268
  10. Vasconcelos, M.J.M.; Rosado, L.; Ferreira, M.. "A new color assessment methodology using cluster-based features for skin lesion analysis". 2015.
    10.1109/MIPRO.2015.7160298
  11. Rosado, L.; Vasconcelos, M.J.M.. "Automatic segmentation methodology for dermatological images acquired via mobile devices". 2015.
  12. Rosado, L.; Vasconcelos, M.J.M.; Ferreira, M.. "Pigmented skin lesion computerized analysis via mobile devices". 2015.
    10.1145/2788539.2788553
  13. Rosado, L.; Vasconcelos, M.J.M.; Correia, F.; Costa, N.. "A novel framework for supervised mobile assessment and risk triage of skin lesions". 2015.
    10.4108/icst.pervasivehealth.2015.259254
  14. Guimarães, V.; Ribeiro, D.; Rosado, L.; Sousa, I.. "A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping". 2014.
    10.1109/MeMeA.2014.6860087
  15. Guimaraes, V.; Ribeiro, D.; Rosado, L.. "A smartphone-based fall risk assessment tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale". 2013.
    10.1109/HealthCom.2013.6720733
  16. Rosado, L.; Ferreira, M.. "A prototype for a mobile-based system of skin lesion analysis using supervised classification". 2013.
    10.1109/ExpAt.2013.6703051
Artigo em revista
  1. Vladyslav Mosiichuk; Ana Sampaio; Paula Viana; Tiago Oliveira; Luís Rosado. "Improving Mobile-Based Cervical Cytology Screening: A Deep Learning Nucleus-Based Approach for Lesion Detection". Applied Sciences (2023): https://doi.org/10.3390/app13179850.
    10.3390/app13179850
  2. Albuquerque, T.; Rosado, L.; Cruz, R.; Vasconcelos, M.J.M.; Oliveira, T.; Cardoso, J.S.. "Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods". Intelligent Systems with Applications 17 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85146099713&partnerID=MN8TOARS.
    10.1016/j.iswa.2022.200170
  3. João Gonçalves; Eduardo Silva; Pedro Faria; Telmo Nogueira; Ana Ferreira; Cristina Carlos; Luís Rosado. "Edge-Compatible Deep Learning Models for Detection of Pest Outbreaks in Viticulture". Agronomy (2022): https://doi.org/10.3390/agronomy12123052.
    10.3390/agronomy12123052
  4. Pedro Lopes; Eduardo Silva; Cristiana Braga; Tiago Oliveira; Luís Rosado. "XAI Systems Evaluation: A Review of Human and Computer-Centred Methods". Applied Sciences (2022): https://doi.org/10.3390/app12199423.
    10.3390/app12199423
  5. Luís Rosado; Pedro Faria; João Gonçalves; Eduardo Silva; Ana Vasconcelos; Cristiana Braga; João Oliveira; et al. "EyesOnTraps: AI-Powered Mobile-Based Solution for Pest Monitoring in Viticulture". Sustainability (2022): https://doi.org/10.3390/su14159729.
    10.3390/su14159729
  6. Brandão, Pedro; Silva, Paulo T; Parente, Marco; Rosado, Luís. "µSmartScope - Towards a low-cost microscopic medical device for cervical cancer screening using additive manufacturing and optimization". Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 236 2 (2021): 267-279. http://dx.doi.org/10.1177/14644207211022774.
    Publicado • 10.1177/14644207211022774
  7. Pedro Faria; Telmo Nogueira; Ana Ferreira; Cristina Carlos; Luís Rosado. "AI-Powered Mobile Image Acquisition of Vineyard Insect Traps with Automatic Quality and Adequacy Assessment". Agronomy 11 4 (2021): 731-731. https://doi.org/10.3390/agronomy11040731.
    10.3390/agronomy11040731
  8. Sampaio, Ana Filipa; Rosado, Luis; Vasconcelos, Maria Joao M.. "Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images". IEEE Access 9 (2021): 152188-152205. http://dx.doi.org/10.1109/access.2021.3126486.
    Publicado • 10.1109/access.2021.3126486
  9. Catarina Andrade; Luís F. Teixeira; Maria João M. Vasconcelos; Luís Rosado. "Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images". Journal of Imaging 7 1 (2020): 2-2. https://doi.org/10.3390/jimaging7010002.
    10.3390/jimaging7010002
  10. José Alves; Dinis Moreira; Pedro Alves; Luís Rosado; Maria Vasconcelos. "Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones". Sensors 19 22 (2019): 4957-4957. https://doi.org/10.3390/s19224957.
    10.3390/s19224957
  11. Teresa Conceição; Cristiana Braga; Luís Rosado; Maria João M. Vasconcelos. "A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification". International Journal of Molecular Sciences 20 20 (2019): 5114-5114. https://doi.org/10.3390/ijms20205114.
    10.3390/ijms20205114
  12. "Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination". Sensors (2017): http://www.mdpi.com/1424-8220/17/10/2167.
    10.3390/s17102167
  13. Rosado, L.; Correia da Costa, J.M.; Elias, D.; Cardoso, J.S.. "A review of automatic malaria parasites detection and segmentation in microscopic images". Anti-Infective Agents 14 1 (2016): 11-22. http://www.scopus.com/inward/record.url?eid=2-s2.0-84961714913&partnerID=MN8TOARS.
  14. Rosado, L.; Vasconcelos, M.J.; Ferreira, M.. "A mobile-based prototype for skin lesion analysis: Towards a patient-oriented design approach". International Journal of Online Engineering 9 SPECIALISS (2013): 27-29. http://www.scopus.com/inward/record.url?eid=2-s2.0-84900379568&partnerID=MN8TOARS.
    10.3991/ijoe.v9iS8.3372
  15. Rosado, Luís; Castro, Rui; Ferreira, Liliana; Ferreira, Márcia. "Extraction of ABCD rule features from skin lesions images with smartphone". Studies in Health Technology and Informatics 177 (2012): 242-247.
    10.3233/978-1-61499-069-7-242
Capítulo de livro
  1. Vladyslav Mosiichuk; Paula Viana; Tiago Oliveira; Luís Rosado. "Automated Adequacy Assessment of Cervical Cytology Samples Using Deep Learning". 156-170. Springer International Publishing, 2022.
    10.1007/978-3-031-04881-4_13
  2. Maria João M. Vasconcelos; Dinis Moreira; Pedro Alves; Ricardo Graça; Rafael Franco; Luís Rosado. "Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization". 2022.
    10.1007/978-3-031-20664-1_9
  3. Pereira, Carlos; Silva, Paulo T.; Rosado, Luís; Mota, Luís; Martins, João. "The Design Thinking Process in the Development of an Intelligent Microscopic Equipment". In Advances in Design and Digital Communication II, 170-182. Springer International Publishing, 2021.
    Publicado • 10.1007/978-3-030-89735-2_15
  4. José Faria; João Almeida; Maria João M. Vasconcelos; Luís Rosado. "Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks". 61-73. Springer International Publishing, 2020.
    10.1007/978-3-030-39343-4_6
  5. Andrade, Catarina; Teixeira, Luís F.; Vasconcelos, Maria João M.; Rosado, Luís. "Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images". In Lecture Notes in Computer Science, 228-237. Springer International Publishing, 2020.
    Publicado • 10.1007/978-3-030-50516-5_20
  6. Rosado, Luís; Silva, Paulo T.; Faria, José; Oliveira, João; Vasconcelos, Maria João M.; Elias, Dirk; da Costa, José M. Correia; Cardoso, Jaime S.. "µSmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage". In Communications in Computer and Information Science, 19-44. Springer International Publishing, 2018.
    Publicado • 10.1007/978-3-319-94806-5_2
  7. Rosado, L.; Vasconcelos, M.J.M.; Castro, R.; Tavares, J.M.R.S.. "From dermoscopy to mobile teledermatology". 385-418. 2015.
Livro
  1. Vasconcelos, M.J.M.; Rosado, L.. No-reference blur assessment of dermatological images acquired via mobile devices. 2014.
    10.1007/978-3-319-07998-1_40
  2. Vasconcelos, M.J.M.; Rosado, L.; Ferreira, M.. Principal axes-based asymmetry assessment methodology for skin lesion image analysis. 2014.
Atividades

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2023/02/01 - 2023/07/31 Optimization of Color Adjustment in the Ceramic Industry using Genetic Algorithms
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2022/09/01 - 2023/02/01 Cervical Cytology Imaging Generation with Latent Diffusion Models
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022 Model-agnostic generation of example-based explanations for the post-hoc assessment of cervical cytology models
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2022 Deep Learning for Automated Adequacy Assessment of Cervical Cytology Samples
Coorientador
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2020 - 2020 Deep Learning models for segmentation of mobile-acquired dermatological images: A comparative study
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019 Deep Learning Approaches for the Automated Detection and Characterisation of Malaria Parasites on Thin Blood Smear Images
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017 Statistical Comparison of Different Machine-Learning Approaches for Malaria Parasites Detection in Microscopic Images
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2015 Image Processing Methodology for Blood Cell Counting via Mobile Devices
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014 SunPet Real-time Sun Exposure Monitorization using Smartphones
Coorientador
Universidade do Porto Faculdade de Ciências, Portugal
2013 - 2013 Android-based implementation of Eulerian Video Magnification for vital signs monitoring
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal
2012 - 2012 Human-Computer Interaction via Brain Waves for Disabled People
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal

Júri de grau académico

Tema
Tipo de participação
Nome do candidato (Tipo de grau)
Instituição / Organização
2023/09/27 Explainable Automatic Chest Radiography Pathology Detection and Reporting
Arguente principal
Pedro Daniel Couto Pereira (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2022/07/27 Object tracking using 3D point clouds and RGB images for autonomous driving
Arguente principal
Daniel Brandão (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2021 3D reconstruction in underwater environment using CAD model alignment with images
Arguente principal
Fábio Morais (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2020 Automatic Assessment of Equestrian Pain
Arguente principal
Francisca Pessanha (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2019 Carotid Lumen Segmentation using a Neural Network Approach
Arguente principal
Alexandre Moreira (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2019 Deep Learning for identification and quantification of oncocytic cells in microscopic images
Arguente principal
Luís Costa (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2019 Monitoring of railroad crossing using digital image
Arguente principal
Filipe Macário (Mestrado)
Universidade de Aveiro Departamento de Electrónica Telecomunicações e Informática, Portugal