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Luís Rosado

Observed names: L. Rosado, Luas Rosado, Luis Rosado, Rosado Luís, Rosado, Luís, Rosado, Luís Filipe Caeiro Margalho Guerra
Observed institution: Fraunhofer Portugal Research
ORCID: 0000-0002-8060-831X
Observed ORCID: 0000-0002-8060-831X
OpenAlex ID: A5005874835
XAI Systems Evaluation: A Review of Human and Computer-Centred Methods
2022 · Pedro Lopes, Eduardo Silva, et al. · Applied Sciences · 131
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Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices
2016 · Luís Rosado, José M. Correia da Costa, et al. · Procedia Computer Science · 109
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A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
2019 · Teresa Conceição, Cristiana Braga, et al. · International Journal of Molecular Sciences · 68
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Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination
2017 · Luís Rosado, José Da Costa, et al. · Sensors · 50
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A Review of Automatic Malaria Parasites Detection and Segmentation in Microscopic Images
2016 · Luís Rosado, José M. Correia da Costa, et al. · Anti-Infective Agents · 50
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Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis
2014 · Maria João M. Vasconcelos, Luís Rosado, et al. · Lecture notes in computer science · 39
Supervised learning for Out-of-Stock detection in panoramas of retail shelves
2016 · Luis Rosado, Joao Goncalves, et al. · IEEE International Conference on Imaging Systems and Techniques (IST) · 34
Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images
2020 · Catarina Andrade, Luís F. Teixeira, et al. · Journal of Imaging · 30
Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones
2019 · José Alves, Dinis Moreira, et al. · Sensors · 24
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Edge-Compatible Deep Learning Models for Detection of Pest Outbreaks in Viticulture
2022 · João Gonçalves, Eduardo Silva, et al. · Agronomy · 23
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Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images
2021 · Ana Filipa Sampaio, Luis Rosado, et al. · IEEE Access · 21
AI-Powered Mobile Image Acquisition of Vineyard Insect Traps with Automatic Quality and Adequacy Assessment
2021 · Pedro Faria, Telmo Nogueira, et al. · Agronomy · 20
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A new color assessment methodology using cluster-based features for skin lesion analysis
2015 · M.J.M. Vasconcelos, L. Rosado, et al. · International Convention on Information and Communication Technology, Electronics and Microelectronics · 16
A smartphone-based fall risk assessment tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale
2013 · Vania Guimaraes, David Ribeiro, et al. · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · 15
EyesOnTraps: AI-Powered Mobile-Based Solution for Pest Monitoring in Viticulture
2022 · Luís Rosado, Pedro Faria, et al. · Sustainability · 14
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No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices
2014 · Maria João M. Vasconcelos, Luís Rosado · Lecture notes in computer science · 14
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Improving Mobile-Based Cervical Cytology Screening: A Deep Learning Nucleus-Based Approach for Lesion Detection
2023 · Vladyslav Mosiichuk, Ana Sampaio, et al. · Applied Sciences · 13
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Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks
2020 · José Faria, João Almeida, et al. · Communications in computer and information science · 10
Extraction of ABCD Rule Features from Skin Lesions Images with Smartphone
2012 · Rosado Luís, Castro Rui, et al. · Studies in health technology and informatics · 10
μSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage
2017 · Luís Rosado, João Oliveira, et al. · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · 9
A new risk assessment methodology for dermoscopic skin lesion images
2015 · Maria Joao M. Vasconcelos, Luis Rosado, et al. · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · 9
pyMDMA: Multimodal data metrics for auditing real and synthetic datasets
2025 · Ivo S. Façoco, Joana Rebelo, et al. · SoftwareX · 8
Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning
2023 · Tomas Souper, Ana C. Morgado, et al. · International Conference on Machine Learning Technologies (ICMLT) · 8
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$$\mu $$μSmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage
2018 · Luís Rosado, Paulo T. Silva, et al. · Communications in computer and information science · 8
Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images
2020 · Catarina Andrade, Luís F. Teixeira, et al. · Lecture notes in computer science · 7
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Works count: 49
Citation count: 815
H-index: 14
I10-index: 19
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