Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pere Gilabert"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract Accurate detection and classification of lung malignancies are crucial for early diagnosis, treatment planning, and patient prognosis. Conventional histopathological analysis is time-consuming, limiting its clinical applicability. To address
Externí odkaz:
https://doaj.org/article/8aeea35be6924661bb4dba0c42c9ff53
Autor:
Pere Gilabert, Jordi Vitrià, Pablo Laiz, Carolina Malagelada, Angus Watson, Hagen Wenzek, Santi Segui
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Colon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly being used as an alternative to conventional colonoscopy. Videos recorded by the capsule cameras are long and require one or more experts' time to review and identi
Externí odkaz:
https://doaj.org/article/9a32d5f8cab54e9482b699cb48cba89b
Autor:
Pablo Laiz, Jordi Vitrià, Pere Gilabert, Hagen Wenzek, Carolina Malagelada, Angus J.M. Watson, Santi Seguí
Publikováno v:
Computerized Medical Imaging and Graphics. 108:102243
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c71e30d458105336caf0f48c804dc4
https://doi.org/10.1016/j.compmedimag.2023.102243
https://doi.org/10.1016/j.compmedimag.2023.102243
Publikováno v:
Artificial Intelligence in Capsule Endoscopy ISBN: 9780323996471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab779b4c6697d955d3d199bc2f698127
https://doi.org/10.1016/b978-0-323-99647-1.00012-5
https://doi.org/10.1016/b978-0-323-99647-1.00012-5
Autor:
João Afonso, Nuno Almeida, Patrícia Andrade, Gerardo Blanco, Hélder Cardoso, Nayantara Coelho-Prabhu, Pablo Cortegoso Valdivia, José Cotter, Pilar Esteban Delgado, Emanuel Dias, Xavier Dray, Ignacio Fernández-Urien, João Ferreira, Pedro Figueiredo, Isabel Garrido, Pere Gilabert, Catarina Gomes, Chen He, Aymeric Histace, Bin Jiang, Xi Jiang, Pablo Laiz, Jonathan Leighton, Zhuan Liao, Susana Lopes, Guilherme Macedo, Enrique Pérez-Cuadrado Martínez, Miguel Martins, Miguel Mascarenhas, Renato Medas, Francisco Mendes, Oscar Mondragon, Jun Pan, Shabana F. Pasha, Marco Pennazio, Rolando Pinho, Yang-Yang Qian, Tiago Ribeiro, Alexander Robertson, Bruno Rosa, André Santos, Miguel Mascarenhas Saraiva, Jean-Christophe Saurin, Santi Segui, Vítor Macedo Silva, Omar Solórzano, Eunice Trindade, Qiwen Wang
Publikováno v:
Artificial Intelligence in Capsule Endoscopy ISBN: 9780323996471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2588a8effaa020490560c439fe7dd9ea
https://doi.org/10.1016/b978-0-323-99647-1.00024-1
https://doi.org/10.1016/b978-0-323-99647-1.00024-1
Autor:
Santi Seguí, Pere Gilabert
Publikováno v:
RecSysChallenge '21: Proceedings of the Recommender Systems Challenge 2021.
In this paper we describe our solution for the RecSys Challenge 20211 focused on tweet recommendation to increase the number of user interactions. A large database with 800 million tweets produced over four weeks is used as training to predict four t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b707c6e08a7e7c4de73acb3e819c241b
https://doi.org/10.1145/3487572.3487598
https://doi.org/10.1145/3487572.3487598
Autor:
Santi Seguí, Pere Gilabert
Publikováno v:
RecSys Challenge
In this paper, we describe the approach used on the RecSys Challenge 20201 which focuses on a real-world task of tweet engagement prediction. A large database of ∼ 160M public tweets, obtained by subsampling within 2 weeks, is used with the goal to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f731de8406a16028723ba5df01331873
https://doi.org/10.1145/3415959.3415997
https://doi.org/10.1145/3415959.3415997