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2020 – today
- 2023
[j6]Tomé Albuquerque
, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso:
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. Intell. Syst. Appl. 17: 200170 (2023)- [c24]Pedro Madeira, André V. Carreiro, Alex Gaudio, Luís Rosado, Filipe Soares, Asim Smailagic:
ZEBRA: Explaining rare cases through outlying interpretable concepts. CVPR Workshops 2023: 3782-3788 - [c23]Tomas Souper, Ana C. Morgado, Ana Marques, Inês Silva, Luís Rosado:
Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning. ICMLT 2023: 221-229 - [c22]Ana C. Morgado, Tomas Souper, Ana Marques, Inês Silva, Luís Rosado:
Reinforcement Learning to Improve Color Adjustments in the Ceramic Industry. ICMLT 2023: 240-248 - [c21]Elsa Oliveira, Cristiana Braga, Ana Sampaio, Tiago Oliveira, Filipe Soares, Luís Rosado:
Designing XAI-based Computer-aided Diagnostic Systems: Operationalising User Research Methods 25-36. IUI Workshops 2023: 25-36 - 2022
- [c20]Vladyslav Mosiichuk, Paula Viana, Tiago Oliveira, Luís Rosado:
Automated Adequacy Assessment of Cervical Cytology Samples Using Deep Learning. IbPRIA 2022: 156-170 - 2021
- [j5]Ana Filipa Sampaio, Luís Rosado, Maria João M. Vasconcelos:
Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images. IEEE Access 9: 152188-152205 (2021) - [j4]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. J. Imaging 7(1): 2 (2021) - [c19]Dinis Moreira, Pedro Alves, Francisco Veiga, Luís Rosado, Maria João M. Vasconcelos:
Automated Mobile Image Acquisition of Macroscopic Dermatological Lesions. HEALTHINF 2021: 122-132 - [c18]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. BIOSTEC (Selected Papers) 2021: 158-179 - 2020
- [c17]Catarina Andrade, Luís F. Teixeira, Maria João M. Vasconcelos, Luís Rosado:
Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images. ICIAR (2) 2020: 228-237
2010 – 2019
- 2019
- [j3]José Alves, Dinis Moreira, Pedro Alves, Luís Rosado, Maria João M. Vasconcelos:
Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. Sensors 19(22): 4957 (2019) - [c16]José Faria, João Almeida, Maria João M. Vasconcelos, Luís Rosado:
Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks. MIUA 2019: 61-73 - 2017
- [j2]Luís Rosado, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Sensors 17(10): 2167 (2017) - [c15]Luís Rosado, Paulo T. Silva, José Faria, João Oliveira, Maria João M. Vasconcelos, Dirk Elias, José M. Correia da Costa, Jaime S. Cardoso:
\mu μ SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage. BIOSTEC (Selected Papers) 2017: 19-44 - [c14]Luís Rosado, João Oliveira, Maria João M. Vasconcelos, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage. BIODEVICES 2017: 38-48 - 2016
- [c13]Luís Rosado, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices. MIUA 2016: 138-144 - 2015
- [c12]Luís Rosado, Maria João M. Vasconcelos:
Automatic Segmentation Methodology for Dermatological Images Acquired via Mobile Devices. HEALTHINF 2015: 246-251 - [c11]Maria João M. Vasconcelos, Luís Rosado, Márcia Ferreira:
A new risk assessment methodology for dermoscopic skin lesion images. MeMeA 2015: 570-575 - [c10]Maria João M. Vasconcelos, Luís Rosado, Márcia Ferreira:
A new color assessment methodology using cluster-based features for skin lesion analysis. MIPRO 2015: 373-378 - [c9]Luís Rosado, Maria João M. Vasconcelos, Fernando Correia, Nuno M. C. da Costa:
A novel framework for supervised mobile assessment and risk triage of skin lesions. PervasiveHealth 2015: 266-267 - [c8]Luís Rosado, Maria João M. Vasconcelos, Márcia Ferreira:
Pigmented skin lesion computerized analysis via mobile devices. SCCG 2015: 105-108 - 2014
- [c7]Maria João M. Vasconcelos, Luís Rosado:
No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices. ICISP 2014: 350-357 - [c6]Maria João M. Vasconcelos, Luís Rosado, Márcia Ferreira:
Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis. ISVC (2) 2014: 21-31 - [c5]Vânia Guimarães, David Ribeiro, Luís Rosado, Inês Sousa:
A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. MeMeA 2014: 358-363 - [c4]Maria João M. Vasconcelos, Luís Rosado:
Automatic Reflection Detection on Dermatological Images Acquired via Mobile Devices. MIUA 2014: 85-90 - 2013
- [j1]Luís Rosado, Maria João M. Vasconcelos, Márcia Ferreira:
A Mobile-Based Prototype for Skin Lesion Analysis: Towards a Patient-Oriented Design Approach. Int. J. Online Biomed. Eng. 9(S8): 27-29 (2013) - [c3]Luís Rosado, Márcia Ferreira:
A prototype for a mobile-based system of skin lesion analysis using supervised classification. exp.at 2013: 156-157 - [c2]Vânia Guimarães, David Ribeiro, Luís Rosado:
A smartphone-based fall risk assessment tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale. Healthcom 2013: 529-533 - 2012
- [c1]Luís Rosado, Rui Castro, Liliana Ferreira, Márcia Ferreira:
Extraction of ABCD Rule Features from Skin Lesions Images with Smartphone. pHealth 2012: 242-247
Coauthor Index
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