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ORCIDMarta Salgado
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2020 – today
- 2025
[c14]Carolina Tabosa, Marta Salgado, Danilo Leite, António Cunha
:
Comparative Analysis of CNNs and Vision Transformers for Lesion Classification in Capsule Endoscopy. CENTERIS/ProjMAN/HCist 2025: 1186-1193- [c13]Tiago Costa, José Castro, Marta Salgado, António Cunha:
Comparative Evaluation of MoE and HMoE for Multiclass Classification in VCE Image Analysis. CENTERIS/ProjMAN/HCist 2025: 1267-1274 - 2024
- [j2]Dalila Barbosa, Marcos Melo Ferreira, Geraldo Braz Júnior, Marta Salgado, António Cunha:
Multiple Instance Learning in Medical Images: A Systematic Review. IEEE Access 12: 78409-78422 (2024) - [j1]Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. IEEE Access 12: 79428-79444 (2024) - [c12]Inês Castro Fernandes, Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR. CENTERIS/ProjMAN/HCist 2024: 1108-1115 - [c11]Vitor Moreira, Eduardo Machado, Dalila Barbosa, Marta Salgado, Geraldo Braz Júnior, António Cunha:
Classification of endoscopic capsule pathologies using Multiple Instance Learning methods. CENTERIS/ProjMAN/HCist 2024: 1116-1124 - 2023
- [c10]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 1653-1661 - [c9]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 2065-2073 - [c8]Rodrigo Fernandes, Marta Salgado, Ishak Paçal, António Cunha:
Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR. MobiHealth 2023: 195-207 - [c7]Filipe Fonseca, Beatriz Nunes, Marta Salgado, Augusto Silva, António Cunha:
Informative Classification of Capsule Endoscopy Videos Using Active Learning. MobiHealth 2023: 307-323 - 2021
- [c6]Filipe Fonseca, Beatriz Nunes, Marta Salgado, António Cunha:
Abnormality classification in small datasets of capsule endoscopy images. CENTERIS/ProjMAN/HCist 2021: 469-476
2010 – 2019
- 2019
- [c5]Sara Gomes, Maria Teresa Valério, Marta Salgado, Hélder P. Oliveira, António Cunha:
Unsupervised Neural Network for Homography Estimation in Capsule Endoscopy Frames. CENTERIS/ProjMAN/HCist 2019: 602-609 - [c4]Maria Teresa Valério, Sara Gomes, Marta Salgado, Hélder P. Oliveira, António Cunha:
Lesions Multiclass Classification in Endoscopic Capsule Frames. CENTERIS/ProjMAN/HCist 2019: 637-645 - [c3]Gil Pinheiro, Paulo Jorge Simões Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha:
Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic Capsules. ISBI 2019: 83-86 - 2018
- [c2]Gil Pinheiro, Paulo Jorge Simões Coelho, Marta Salgado, Hélder P. Oliveira, António Cunha:
Deep Homography Based Localization on Videos of Endoscopic Capsules. BIBM 2018: 724-727 - [c1]Paulo Jorge Simões Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha:
A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies. ICIAR 2018: 553-561
Coauthor Index
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