| Automated detection of malaria parasites on thick blood smears via mobile devices L Rosado, JMC Da Costa, D Elias, JS Cardoso Procedia Computer Science 90, 138-144, 2016 | 110 | 2016 |
| XAI systems evaluation: A review of human and computer-centred methods P Lopes, E Silva, C Braga, T Oliveira, L Rosado Applied Sciences 12 (19), 9423, 2022 | 87 | 2022 |
| A review of computational methods for cervical cells segmentation and abnormality classification T Conceição, C Braga, L Rosado, MJM Vasconcelos International journal of molecular sciences 20 (20), 5114, 2019 | 72 | 2019 |
| A review of automatic malaria parasites detection and segmentation in microscopic images L Rosado, JM Correia da Costa, D Elias, J S Cardoso Anti-Infective Agents 14 (1), 11-22, 2016 | 62 | 2016 |
| Mobile-based analysis of malaria-infected thin blood smears: automated species and life cycle stage determination L Rosado, JMC Da Costa, D Elias, JS Cardoso Sensors 17 (10), 2167, 2017 | 52 | 2017 |
| Supervised learning for Out-of-Stock detection in panoramas of retail shelves L Rosado, J Gonçalves, J Costa, D Ribeiro, F Soares 2016 IEEE International Conference on Imaging Systems and Techniques (IST …, 2016 | 43 | 2016 |
| Principal axes-based asymmetry assessment methodology for skin lesion image analysis MJM Vasconcelos, L Rosado, M Ferreira International symposium on visual computing, 21-31, 2014 | 27 | 2014 |
| Automatic focus assessment on dermoscopic images acquired with smartphones J Alves, D Moreira, P Alves, L Rosado, MJM Vasconcelos Sensors 19 (22), 4957, 2019 | 22 | 2019 |
| A smartphone-based fall risk assessment tool: measuring one leg standing, sit to stand and falls efficacy scale V Guimarães, D Ribeiro, L Rosado 2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013 | 21 | 2013 |
| AI-powered mobile image acquisition of vineyard insect traps with automatic quality and adequacy assessment P Faria, T Nogueira, A Ferreira, C Carlos, L Rosado Agronomy 11 (4), 731, 2021 | 19 | 2021 |
| From Dermoscopy to Mobile Teledermatology L Rosado, MJM Vasconcelos, C R, JRS Tavares Dermoscopy Image Analysis, 385-418, 2015 | 19 | 2015 |
| No-reference blur assessment of dermatological images acquired via mobile devices MJM Vasconcelos, L Rosado Image and Signal Processing: 6th International Conference, ICISP 2014 …, 2014 | 16 | 2014 |
| Edge-compatible deep learning models for detection of pest outbreaks in viticulture J Gonçalves, E Silva, P Faria, T Nogueira, A Ferreira, C Carlos, L Rosado Agronomy 12 (12), 3052, 2022 | 15 | 2022 |
| Towards the mobile detection of cervical lesions: A region-based approach for the analysis of microscopic images AF Sampaio, L Rosado, MJM Vasconcelos IEEE Access 9, 152188-152205, 2021 | 15 | 2021 |
| Extraction of ABCD rule features from skin lesions images with smartphone L Rosado, R Castro, L Ferreira, M Ferreira pHealth 2012, 242-247, 2012 | 15 | 2012 |
| A new color assessment methodology using cluster-based features for skin lesion analysis MJM Vasconcelos, L Rosado, M Ferreira 2015 38th International Convention on Information and Communication …, 2015 | 14 | 2015 |
| SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage L Rosado, PT Silva, J Faria, J Oliveira, MJM Vasconcelos, D Elias, ... International Joint Conference on Biomedical Engineering Systems and …, 2017 | 13 | 2017 |
| A new risk assessment methodology for dermoscopic skin lesion images MJM Vasconcelos, L Rosado, M Ferreira 2015 IEEE International Symposium on Medical Measurements and Applications …, 2015 | 13 | 2015 |
| Sistema automático para diagnóstico de lesões cutâneas baseado em imagens dermoscópicas L Rosado Universidade do Estado do Rio Grande do Norte, Biblioteca Central Orlando …, 2009 | 13 | 2009 |
| Data augmentation using adversarial image-to-image translation for the segmentation of mobile-acquired dermatological images C Andrade, LF Teixeira, MJM Vasconcelos, L Rosado Journal of Imaging 7 (1), 2, 2020 | 12 | 2020 |
