Luís Rosado

Orcid: 0000-0002-8060-831X

According to our database1, Luís Rosado authored at least 30 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods.
Intell. Syst. Appl., 2023

Designing XAI-based Computer-aided Diagnostic Systems: Operationalising User Research Methods 25-36.
Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

Reinforcement Learning to Improve Color Adjustments in the Ceramic Industry.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

ZEBRA: Explaining rare cases through outlying interpretable concepts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Automated Adequacy Assessment of Cervical Cytology Samples Using Deep Learning.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021
Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images.
J. Imaging, 2021

Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images.
IEEE Access, 2021

Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization.
Proceedings of the Biomedical Engineering Systems and Technologies, 2021

Automated Mobile Image Acquisition of Macroscopic Dermatological Lesions.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019
Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones.
Sensors, 2019

Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2017
Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination.
Sensors, 2017

\mu μ SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 1: BIODEVICES, Porto, 2017

2016
Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

2015
Pigmented skin lesion computerized analysis via mobile devices.
Proceedings of the 31st Spring Conference on Computer Graphics, 2015

A novel framework for supervised mobile assessment and risk triage of skin lesions.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015

A new color assessment methodology using cluster-based features for skin lesion analysis.
Proceedings of the 38th International Convention on Information and Communication Technology, 2015

A new risk assessment methodology for dermoscopic skin lesion images.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015

Automatic Segmentation Methodology for Dermatological Images Acquired via Mobile Devices.
Proceedings of the HEALTHINF 2015, 2015

2014
Automatic Reflection Detection on Dermatological Images Acquired via Mobile Devices.
Proceedings of the Medical Image Understanding and Analysis, 2014

A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping.
Proceedings of the 2014 IEEE International Symposium on Medical Measurements and Applications, 2014

Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices.
Proceedings of the Image and Signal Processing - 6th International Conference, 2014

2013
A Mobile-Based Prototype for Skin Lesion Analysis: Towards a Patient-Oriented Design Approach.
Int. J. Online Biomed. Eng., 2013

A smartphone-based fall risk assessment tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

A prototype for a mobile-based system of skin lesion analysis using supervised classification.
Proceedings of the 2013 2nd Experiment@ International Conference (exp.at'13), 2013

2012
Extraction of ABCD Rule Features from Skin Lesions Images with Smartphone.
Proceedings of the pHealth 2012, 2012


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