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
100 2016 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
63 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
55 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
48 2017 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
44 2022 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
33 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
25 2014 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
20 2013 From Dermoscopy to Mobile Teledermatology L Rosado, MJM Vasconcelos, C R, JRS Tavares
Dermoscopy Image Analysis, 385-418, 2015
19 2015 Automatic focus assessment on dermoscopic images acquired with smartphones J Alves, D Moreira, P Alves, L Rosado, MJM Vasconcelos
Sensors 19 (22), 4957, 2019
18 2019 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
15 2014 Extraction of ABCD rule features from skin lesions images with smartphone. L Rosado, R Castro, L Ferreira, M Ferreira
pHealth, 242-247, 2012
15 2012 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
14 2015 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
13 2021 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
13 2021 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 SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized StageL Rosado, PT Silva, J Faria, J Oliveira, MJM Vasconcelos, D Elias, ...
International Joint Conference on Biomedical Engineering Systems and …, 2017
12 2017 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
12 2015 A Mobile-Based Prototype for Skin Lesion Analysis: Towards a Patient-Oriented Design Approach. L Rosado, MJ Vasconcelos, M Ferreira
International Journal of Online Engineering, 2013
10 2013 Deep learning models for segmentation of mobile-acquired dermatological images C Andrade, LF Teixeira, MJM Vasconcelos, L Rosado
Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020
9 2020