Faculty of Engineering (FEUP)
Faculdade de Engenharia

University of Porto (UP)

Publications Actions
Publications at Authenticus Institutional Profile

An Authenticus institution (group) is an organization which consists of a set of researchers (institutional/group team). The set of researchers depends on the organizational structure of the institution per year and can be set at the institution profile, under ‘Researchers’ interface. Based on the institutional team we produce listings of publications, statistics and institutional reports. 

Publications displayed at an Authenticus institutional profile depend on two parameters:

  • Researchers team associated with the institution per year. 
  • Publications source type. 

We define 3 types of publication sources:

  • Validated by team members - includes all publications validated by team members. Requires the definition of the institutional team. 
  • All published by team members - includes all publications validated by the institution team members plus all not-validated (only identified) publications. Requires the definition of the institutional team. 
  • Affiliation Based - includes publications that have the institution/group in the publication affiliation. Does not require institutional team, but at the same time does not guarantee that all publications will be listed. 
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Update Citation

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 This actions updates publications citations of every team member.
 Only validated by team members publications are included.
 Only the current year team is included in this action.>
 The action is executed in the background, thus the results are NOT immediate.
 This actions can be executed only once a month!

Update PrePrints

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Rules:
 This actions updates all pre print publications of the group/institution.
 Only validated by current year team members publications are included.
 The action is executed in the background, thus the results are NOT immediate.
 This actions can be executed only once a day!

Publications Count: 31123

616 Team Members
Filters -> Year: 2025
5861
TITLE: Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Lymphangiectasia and Xanthomas Using a Convolutional Neural Network
AUTHORS: Ribeiro, T; Mascarenhas, M; Afonso, J; Ferreira, J ; Cardoso, H ; Andrade, P; Parente, M; Natal, R; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
5862
TITLE: Artificial intelligence and capsule endoscopy: automatic detection of vascular lesions using a convolutional neural network  Full Text
AUTHORS: Ribeiro, T; Saraiva, MM; Ferreira, JPS ; Cardoso, H ; Afonso, J; Andrade, P; Parente, M ; Jorge, RN; Macedo, G;
PUBLISHED: 2021, SOURCE: ANNALS OF GASTROENTEROLOGY, VOLUME: 34, ISSUE: 6, PAGES: 820-828
INDEXED IN: Scopus WOS CrossRef: 2
5863
TITLE: Artificial intelligence and colon capsule endoscopy: automatic detection of blood in colon capsule endoscopy using a convolutional neural network
AUTHORS: Saraiva, MM; Ferreira, JPS ; Cardoso, H ; Afonso, J; Ribeiro, T; Andrade, P; Parente, MPL; Jorge, RN; Macedo, G;
PUBLISHED: 2021, SOURCE: ENDOSCOPY INTERNATIONAL OPEN, VOLUME: 09, ISSUE: 08
INDEXED IN: WOS CrossRef: 8
5864
TITLE: Artificial Intelligence and Colon Capsule Endoscopy: Automatic detection of colonic mucosal lesions and blood using a convolutional neural network  Full Text
AUTHORS: Afonso, J; Mascarenhas, M; Ribeiro, T; Cardoso, H ; Ferreira, J ; Andrade, P; Jorge, R; Lopes, S; Macedo, C;
PUBLISHED: 2021, SOURCE: JOURNAL OF CROHNS & COLITIS, VOLUME: 15, ISSUE: Supplement_1
INDEXED IN: WOS CrossRef
5865
TITLE: ARTIFICIAL INTELLIGENCE AND COLON CAPSULE ENDOSCOPY: AUTOMATIC DETECTION OF COLONIC PROTUBERANT LESIONS USING A CONVOLUTIONAL NEURAL NETWORK  Full Text
AUTHORS: Saraiva, MM; Cardoso, H; Afonso, J; Ferreira, J ; Andrade, P; Macedo, G;
PUBLISHED: 2021, SOURCE: GASTROINTESTINAL ENDOSCOPY, VOLUME: 93, ISSUE: 6
INDEXED IN: WOS
5866
TITLE: Artificial intelligence and colon capsule endoscopy: development of an automated diagnostic system of protruding lesions in colon capsule endoscopy  Full Text
AUTHORS: Saraiva, MM; Ferreira, JPS ; Cardoso, H ; Afonso, J; Ribeiro, T; Andrade, P; Parente, MPL ; Jorge, RN; Macedo, G;
PUBLISHED: 2021, SOURCE: TECHNIQUES IN COLOPROCTOLOGY, VOLUME: 25, ISSUE: 11, PAGES: 1243-1248
INDEXED IN: Scopus WOS CrossRef: 11
5867
TITLE: Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry
AUTHORS: Luis M C Oliveira; Rafael Dias ; Carine M Rebello; Márcio A F Martins; Alírio E Rodrigues; Ana M Ribeiro ; Idelfonso B R Nogueira ;
PUBLISHED: 2021, SOURCE: AI (Switzerland), VOLUME: 2, ISSUE: 3, PAGES: 429-444
INDEXED IN: Scopus CrossRef
5868
TITLE: Artificial intelligence and digital single-operator cholangioscopy: automatic identification of neoplastic biliary nodules in patients with indeterminate biliary stenosis.
AUTHORS: Afonso, J; Mascarenhas, M; Ribeiro, T; Ferreira, JPS; Vilas Boas, F; Parente, M ; Jorge, RN; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: JOURNAL OF HEPATOLOGY, VOLUME: 75
INDEXED IN: WOS
5869
TITLE: Artificial intelligence and digital single-operator cholangioscopy: automatic identification of neoplastic masses in patients with indeterminate biliary strictures
AUTHORS: Ribeiro, T; Mascarenhas, M; Afonso, J; Ferreira, JPS; Vilas Boas, F; Parente, M ; Jorge, RN; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: JOURNAL OF HEPATOLOGY, VOLUME: 75
INDEXED IN: WOS
5870
TITLE: Artificial intelligence and digital single-operator cholangioscopy: automatic identification of papillary projections in patients with indeterminate biliary strictures
AUTHORS: Ribeiro, T; Mascarenhas, M; Afonso, J; Ferreira, JPS; Vilas Boas, F; Parente, M ; Jorge, RN; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: JOURNAL OF HEPATOLOGY, VOLUME: 75
INDEXED IN: WOS
5871
TITLE: Artificial Intelligence and Digital Single-operator Cholangioscopy: Automatic Identification of Tumor Vessels in Patients with Indeterminate Biliary Stenosis
AUTHORS: Afonso, J; Mascarenhas, M; Ribeiro, T; Ferreira, J; Boas, FV; Parente, M; Natal, R; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
5872
TITLE: Artificial Intelligence and Digital Single-Operator Cholangioscopy: automatic identification of tumor vessels in patients with indeterminate biliary strictures.
AUTHORS: Mascarenhas, M; Ribeiro, T; Afonso, J; Ferreira, JPS; Vilas Boas, F; Jorge, RN; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: JOURNAL OF HEPATOLOGY, VOLUME: 75
INDEXED IN: WOS
5873
TITLE: ARTIFICIAL INTELLIGENCE AND VIDEO CAPSULE COLONOSCOPY: AUTOMATIC DETECTION OF BLOOD IN COLONIC LUMEN USING A CONVOLUCIONAL NEURAL NETWORK  Full Text
AUTHORS: Afonso, J; Saraiva, MM; Cardoso, H; Ferreira, J ; Andrade, P; Macedo, G;
PUBLISHED: 2021, SOURCE: GASTROINTESTINAL ENDOSCOPY, VOLUME: 93, ISSUE: 6
INDEXED IN: WOS
5874
TITLE: Artificial Intelligence for an Enhanced As-Is BIM Energy Analysis
AUTHORS: Luís Sanhudo; João Poças Martins ; Nuno Ramos;
PUBLISHED: 2021
INDEXED IN: Handle
5875
TITLE: Artificial Intelligence for automatic diagnosis of biliary strictures malignancy status in Single-Operator Cholangioscopy.
AUTHORS: Mascarenhas, M; Ribeiro, T; Afonso, J; Ferreira, JPS; Boas, FV; Santos, A; Cardoso, H ; Jorge, RN; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: International Liver Congress in JOURNAL OF HEPATOLOGY, VOLUME: 75
INDEXED IN: WOS
5876
TITLE: Artificial Intelligence for Automatic Diagnosis of Biliary Strictures Malignancy Status in Single-Operator Cholangioscopy: A Proof-of-Concept Study
AUTHORS: Ribeiro, T; Mascarenhas, M; Afonso, J; Ferreira, J; Boas, FV; Parente, M ; Natal, R; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
5877
TITLE: Artificial Intelligence for Automatic Diagnosis of Mucinous Pancreatic Cystic Lesions in Endoscopic Ultrasound: A Pilot Study
AUTHORS: Mascarenhas, M; Ribeiro, T; Boas, FV; Afonso, J; Ferreira, J ; Lopes, S; Ribeiro, PM; Natal, R; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
5878
TITLE: Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions
AUTHORS: Polonia, A; Campelos, S; Ribeiro, A; Aymore, I; Pinto, D; Biskup Fruzynska, M; Veiga, RS; Canas Marques, R; Aresta, G; Araujo, T; Campilho, A ; Kwok, S; Aguiar, P ; Eloy, C;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF CLINICAL PATHOLOGY, VOLUME: 155, ISSUE: 4, PAGES: 527-536
INDEXED IN: Scopus WOS CrossRef: 24
5880
TITLE: Artificial Intelligence-oriented economic non-linear model predictive control applied to a pressure swing adsorption unit: Syngas purification as a case study  Full Text
AUTHORS: Martins, MAF; Rodrigues, AE; Loureiro, JM; Ribeiro, AM ; Nogueira, IBR ;
PUBLISHED: 2021, SOURCE: SEPARATION AND PURIFICATION TECHNOLOGY, VOLUME: 276, PAGES: 119333
INDEXED IN: Scopus WOS CrossRef Unpaywall

Results per Page: 20.
Page 294 of 1557. Total results: 31123.