Luís Rosado

Luís Rosado

Senior Scientist

 

Fraunhofer AICOS
Rua Alfredo Allen 455/461
4200-135 Porto, Portugal

 

T. +351 220 430 300

E. info@fraunhofer.pt

 

 

Relevant publications

 

Rosado L., Silva P.T., Faria J., Oliveira J., Vasconcelos M.J.M., Costa J.M.C., Elias D., & Cardoso J. (2018). μSmartScope: Towards a Fully Automated 3D-printed Smartphone Microscope with Motorized Stage. In Biomedical Engineering Systems and Technologies, 19-44. More info

Barreiros M., Nunes S., Rosado L., & Barbosa M. (2017). Melanoma Screening Using mHealth & Telemedicine: Towards an Organized Service Working in an Effective Way. In proceedings World Telecommunication Development Conference 2017 (WTDC2017), 114-121.

Ferreira M., Teixeira L., & Rosado L. (2017). Improving Malaria Parasites Detection in Thick Blood Smear Images: A Statistical Approach. In proceedings INForum 2017.

Rosado L., Costa J., Elias D., & Cardoso J. (2017). Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Sensors, 17. More info

Rosado L., Costa J., Elias D., & Cardoso J. (2016). A Review of Automatic Malaria Parasites Detection and Segmentation in Microscopic Images. In Anti-Infective Agents, 14(2), 11-22.

Rosado L., Costa J., Elias D., & Cardoso J. (2016). Automated detection of malaria parasites on thick blood smears via mobile devices. In Procedia Computer Science, 90, 138-144.

Rosado L., Gonçalves J., Costa J., Ribeiro D., & Soares F. (2016). Supervised learning for Out-of-Stock detection in panoramas of retail shelves. In Proceedings of IEEE International Conference on Imaging Systems and Techniques (IST), 406-411. More info

Rosado L., Oliveira J., Vasconcelos M.J.M., Costa J., Elias D., & Cardoso J. (2016). uSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage. In proceedings BIODEVICES 2017 - 10th International Conference on Biomedical Electronics and Devices, 38-48.

Rosado L., Vasconcelos M.J.M., Castro R., & Tavares J.M.R.S. (2015). From Dermoscopy to Mobile Teledermatology. In Dermoscopy Image Analysis, 385-418. More info

Rosado L., Vasconcelos M.J.M., Correia F., & Costa N. (2015). A Novel Framework for Supervised Mobile Assessment and Risk Triage of Skin Lesions. In Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 266-267.  More info

Rosado L., Vasconcelos M.J.M., & Ferreira M. (2015). Differential structures assessment methodology for skin image analysis. In proceedings 4th World Congress of Dermoscopy and skin imaging.

Rosado L., Vasconcelos M.J.M., & Ferreira M. (2015). Pigmented Skin Lesion Computerized Analysis via Mobile Devices. In proceedings 31st Spring conference on Computer Graphics,105-108.

Rosado L., & Vasconcelos M.J.M. (2015). Automatic Segmentation Methodology for Dermatological Images Acquired via Mobile Devices. In Proceedings of International Conference on Health Informatics - Volume 1: HEALTHINF , 246-251. More info

Vasconcelos M.J.M., Rosado L., & Ferreira M. (2015). A New Color Assessment Methodology using Cluster-based Features for Skin Lesion Analysis. In proceedings 38th International ICT Convention MIPRO 2015, DC VIS – Distributed Computing, Visualization and Biomedical Engineering, 373-378.

Vasconcelos M.J.M., Rosado L., & Ferreira M. (2015). A New Risk Assessment Methodology for Dermoscopic Skin Lesion Images. In proceedings MeMeA -10th annual IEEE International Symposium on Medical Measurements and Applications, 570-575.

Guimarães V., Ribeiro D., Rosado L., & Sousa I. (2014). A Smartphone-Based Fall Risk Assessment Tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. In proceedings IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6.

Vasconcelos M.J.M., Rosado L., & Ferreira M. (2014). Border Abruptness Assessment Methodology for Skin Lesion Image Analysis. In proceedings 20th edition of the Portuguese Conference on Pattern Recognition.

Vasconcelos M.J.M., Rosado L., & Ferreira M. (2014). Principal Axes-based Asymmetry Assessment Methodology for Skin Lesion Image Analysis. In ISVC 2014: Advances in Visual Computing, 21-31. More info

Vasconcelos M.J.M., & Rosado L. (2014). Automatic Reflection Detection on Dermatological Images Acquired via Mobile Devices. In proceedings 18th Annual Conference in Medical Image Understanding and Analysis (MIUA), 85-90.

Vasconcelos M.J.M., & Rosado L. (2014). No-reference Blur assessment of Dermatological Images Acquired via Mobile Devices. In proceedings International Conference on Image and Signal Processing, 350-357.

Guimarães V., Ribeiro D., & Rosado L. (2013). A Smartphone-Based Fall Risk Assessment Tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale. In proceedings IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), 529-533. DOI: 10.1109/HealthCom.2013.6720733. More info

Rosado L., Vasconcelos M.J.M., & Ferreira M. (2013). A Mobile-Based Prototype for Skin Lesion Analysis: Towards a Patient-Oriented Design Approach. In International Journal of Online Engineering (iJOE), 9(8), 27-29. More info

Rosado L., & Ferreira M. (2013). A prototype for a mobile-based system of skin lesion analysis using supervised classification. In proceedings The 2nd Experiment@ International Conference. DOI: 10.1109/ExpAt.2013.670305. More info

Rosado L., Ferreira L., Castro R., & Ferreira M. (2012). Extraction of ABCD Rule Features from Skin Lesions Images with Smartphone. In proceedings pHealth 2012 - 9th International Conference on Wearable Micro and Nano Technologies for Personalized Health.

Rosado L. (2011). Automatic Detection of Differential Structures in Dermoscopic Images. In proceedings RecPad 2011 - 17th Edition of the Portuguese Conference on Pattern Recognition.