IDentifying cancer regions in vital-stained magnification endoscopy images using adapted color histograms. - André Sousa; Mário Dinis-Ribeiro; Miguel Areia; Miguel Tavares Coimbra (ICIP, 2009)

Semantic relevance of current image segmentation algorithms. - Farhan Riaz; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (WIAMIS, 2009)

Determinants of frequency and longevity of hospital encounters' data use. - Ricardo João Cruz Correia; Jeremy C. Wyatt; Mário Dinis-Ribeiro; Altamiro da Costa Pereira (BMC Medical Informatics Decis. Mak., 2010)

Identifying Potentially Cancerous Tissues in Chromoendoscopy Images. - Farhan Riaz; Fernando Vilariño; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (IbPRIA, 2011)

Gabor textons for classification of gastroenterology images. - Farhan Riaz; Miguel Areia; Francisco Baldaque Silva; Mário Dinis-Ribeiro; Pedro Pimentel-Nunes; Miguel Tavares Coimbra (ISBI, 2011)

Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images. - Farhan Riaz; Francisco Baldaque Silva; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (IEEE Trans. Biomed. Eng., 2012)

Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches. - Farhan Riaz; Pedro Pimentel-Nunes; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (CBMS, 2013)

Impact of SVM multiclass decomposition rules for recognition of cancer in gastroenterology images. - Ricardo Gamelas Sousa; Mário Dinis-Ribeiro; Pedro Pimentel-Nunes; Miguel Tavares Coimbra (CBMS, 2013)

Integral scale histogram local binary patterns for classification of narrow-band gastroenterology images. - Farhan Riaz; Mário Dinis-Ribeiro; Pedro Pimentel-Nunes; Miguel Tavares Coimbra (EMBC, 2013)

A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology. - Farhan Riaz; Mário Dinis-Ribeiro; Pedro Pimentel-Nunes; Miguel Tavares Coimbra (ICIP, 2013)

Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts. - Farhan Riaz; Francisco Baldaque Silva; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (IEEE Trans. Biomed. Eng., 2013)

Local self similar descriptors: Comparison and application to gastroenterology images. - Ricardo Gamelas Sousa; Daniel C. Moura; Mário Dinis-Ribeiro; Miguel T. Coimbra (EMBC, 2014)

Identifying technology interaction opportunities within a gastroenterology exam room. - Diogo Abrantes; Pedro Pimentel-Nunes; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (MIE, 2015)

Content-Adaptive Region-Based Color Texture Descriptors for Medical Images. - Farhan Riaz; Ali Hassan 001; Rida Nisar; Mário Dinis-Ribeiro; Miguel Tavares Coimbra (IEEE J. Biomed. Health Informatics, 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)

A novel AI device for real-time optical characterization of colorectal polyps. - Carlo Biffi; Pietro Salvagnini; Nhan Ngo Dinh; Cesare Hassan; Prateek Sharma; Giulio Antonelli; Halim Awadie; Sebastian Bernhofer; Sabela Carballal; Mário Dinis-Ribeiro; Agnès Fernández-Clotet; Gloria Fernández-Esparrach; et al. (npj Digit. Medicine, 2022)

Author Correction: A novel AI device for real-time optical characterization of colorectal polyps. - Carlo Biffi; Pietro Salvagnini; Nhan Ngo Dinh; Cesare Hassan; Prateek Sharma; Giulio Antonelli; Halim Awadie; Sebastian Bernhofer; Sabela Carballal; Mário Dinis-Ribeiro; Agnès Fernández-Clotet; Gloria Fernández-Esparrach; et al. (npj Digit. Medicine, 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)

Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation. - Hamideh Kerdegari; Kyle Higgins; Dennis Veselkov; Ivan Laponogov; Inese Polaka; Miguel T. Coimbra; Junior Andrea Pescino; Marcis Leja; Mário Dinis-Ribeiro; Tania Fleitas Kanonnikoff; Kirill A. Veselkov (CoRR, 2024)