Mário Dinis-Ribeiro

25 papers B 4Misc 1Journal 7Unranked 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation.
CoRR
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
2024 — conf
Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning.
EMBC
Inês Lopes, Maria Vakalopoulou, Enzo Ferrante, Diogo Libânio, Mário Dinis-Ribeiro, Miguel Tavares Coimbra, Francesco Renna
2024 — conf
Using generative adversarial networks for endoscopic image augmentation of stomach precancerous lesions.
CENTERIS/ProjMAN/HCist
Bruno Magalhães, Alexandre Neto, Eduarda Almeida, Diogo Libânio, Jéssica Chaves, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha
2023 — conf
Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.
EMBC
Miguel L. Martins, Maria Pedroso, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna
2023 — conf
Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection.
BHI
Maria Pedroso, Miguel L. Martins, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna
2023 — conf
Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies.
CENTERIS/ProjMAN/HCist
Alexandre Neto, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha
2022 J jnl
A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine
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, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini
2022 — conf
Analysis of classification tradeoff in deep learning for gastric cancer detection.
EMBC
Gabriel Lima, Miguel T. Coimbra, Mário Dinis-Ribeiro, Diogo Libânio, Francesco Renna
2022 J jnl
Author Correction: A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine
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, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini
2022 — conf
Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy.
MobiHealth
Alexandre Neto, Sofia Ferreira, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha
2022 — conf
Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection.
EMBC
Inês Lopes, Augusto Silva, Miguel T. Coimbra, Mário Dinis-Ribeiro, Diogo Libânio, Francesco Renna
2017 J jnl
Content-Adaptive Region-Based Color Texture Descriptors for Medical Images.
IEEE J. Biomed. Health Informatics
Farhan Riaz, Ali Hassan, Rida Nisar, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2015 — conf
Identifying technology interaction opportunities within a gastroenterology exam room.
MIE
Diogo Abrantes, Pedro Pimentel-Nunes, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2014 — conf
Local self similar descriptors: Comparison and application to gastroenterology images.
EMBC
Ricardo Gamelas Sousa, Daniel C. Moura, Mário Dinis-Ribeiro, Miguel T. Coimbra
2013 B conf
A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology.
ICIP
Farhan Riaz, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra
2013 B conf
Impact of SVM multiclass decomposition rules for recognition of cancer in gastroenterology images.
CBMS
Ricardo Gamelas Sousa, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra
2013 J jnl
Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts.
IEEE Trans. Biomed. Eng.
Farhan Riaz, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2013 — conf
Integral scale histogram local binary patterns for classification of narrow-band gastroenterology images.
EMBC
Farhan Riaz, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra
2013 B conf
Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches.
CBMS
Farhan Riaz, Pedro Pimentel-Nunes, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2012 J jnl
Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images.
IEEE Trans. Biomed. Eng.
Farhan Riaz, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2011 — conf
Gabor textons for classification of gastroenterology images.
ISBI
Farhan Riaz, Miguel Areia, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra
2011 Misc conf
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images.
IbPRIA
Farhan Riaz, Fernando Vilariño, Mário Dinis-Ribeiro, Miguel Tavares Coimbra
2010 J jnl
Determinants of frequency and longevity of hospital encounters' data use.
BMC Medical Informatics Decis. Mak.
Ricardo João Cruz Correia, Jeremy C. Wyatt, Mário Dinis-Ribeiro, Altamiro da Costa Pereira
2009 B conf
IDentifying cancer regions in vital-stained magnification endoscopy images using adapted color histograms.
ICIP
André Sousa, Mário Dinis-Ribeiro, Miguel Areia, Miguel Tavares Coimbra
2009 — conf
Semantic relevance of current image segmentation algorithms.
WIAMIS
Farhan Riaz, Mário Dinis-Ribeiro, Miguel Tavares Coimbra