Bringing Bayesian Networks to Bedside: A Web-Based Framework. - Raphael Oliveira; Joana Ferreira 002; Diogo Libânio; Cláudia Camila Dias; Pedro Pereira Rodrigues (CBMS, 2017)

Analysis of classification tradeoff in deep learning for gastric cancer detection. - Gabriel Lima; Miguel T. Coimbra; Mário Dinis-Ribeiro; Diogo Libânio; Francesco Renna (EMBC, 2022)

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection. - Inês Lopes; Augusto Silva; Miguel T. Coimbra; Mário Dinis-Ribeiro; Diogo Libânio; Francesco Renna (EMBC, 2022)

Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy. - Alexandre Neto; Sofia Ferreira; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (MobiHealth, 2022)

Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection. - Maria Pedroso; Miguel L. Martins; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; Francesco Renna (BHI, 2023)

Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies. - Alexandre Neto; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images. - Miguel L. Martins; Maria Pedroso; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; Francesco Renna (EMBC, 2023)

Using generative adversarial networks for endoscopic image augmentation of stomach precancerous lesions. - Bruno Magalhães; Alexandre Neto; Eduarda Almeida; Diogo Libânio; Jéssica Chaves; Mário Dinis-Ribeiro; Miguel T. Coimbra; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning. - Inês Lopes; Maria Vakalopoulou; Enzo Ferrante; Diogo Libânio; Mário Dinis-Ribeiro; Miguel Tavares Coimbra; Francesco Renna (EMBC, 2024)