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2020 – today
- 2023
[c7]Maria Pedroso, Miguel L. Martins
, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna:
Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection. BHI 2023: 1-5- [c6]Alexandre Neto, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha:
Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies. CENTERIS/ProjMAN/HCist 2023: 201-208 - [c5]Miguel L. Martins, Maria Pedroso, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna:
Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images. EMBC 2023: 1-4 - 2022
- [c4]Inês Lopes, Augusto Silva, Miguel T. Coimbra, Mário Dinis-Ribeiro, Diogo Libânio, Francesco Renna:
Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection. EMBC 2022: 2025-2028 - [c3]Gabriel Lima, Miguel T. Coimbra, Mário Dinis-Ribeiro, Diogo Libânio, Francesco Renna:
Analysis of classification tradeoff in deep learning for gastric cancer detection. EMBC 2022: 2177-2180 - [c2]Alexandre Neto, Sofia Ferreira, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha:
Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy. MobiHealth 2022: 34-50
2010 – 2019
- 2017
- [c1]Raphael Oliveira, Joana Ferreira, Diogo Libânio, Cláudia Camila Dias, Pedro Pereira Rodrigues:
Bringing Bayesian Networks to Bedside: A Web-Based Framework. CBMS 2017: 369-372
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