Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Jordina Torrents Barrena"'
Autor:
Sergi Bafaluy Ojea, Jordina Torrents-Barrena, María Teresa Pérez-Prado, Rocío Muñoz Moreno, Federico Sket
Publikováno v:
Journal of Materials Research and Technology, Vol 23, Iss , Pp 3974-3986 (2023)
3D binder jet technology has drawn significant attention in recent years thanks to its ability to build complex shapes with a wide variety of commercial powders, together with the advantage of not using high energy sources during the printing process
Externí odkaz:
https://doaj.org/article/f5575c5e85e3402e9fd23d10835e1a81
Autor:
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene-Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Eduard Gratacós, Elisenda Bonet, Elisenda Eixarch, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource en
Externí odkaz:
https://doaj.org/article/232d37b9b48e41feafd4526f7444214f
Autor:
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene-Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Eduard Gratacós, Elisenda Bonet, Elisenda Eixarch, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/e5799faad3c946ad8e033e7355cd0fd8
Publikováno v:
IEEE Embedded Systems Letters. 15:113-116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28aa70a5f3e8c9934efce5e78143905
https://doi.org/10.1109/les.2022.3218168
https://doi.org/10.1109/les.2022.3218168
Autor:
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Publikováno v:
IEEE Transactions on Artificial Intelligence. 4:282-291
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Semi-supervised deep learning (SSDL) is a popular strategy to leverage unlabelled data for machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebd9fb3890f51ac2e43abe333d1f5dbf
https://doi.org/10.1109/tai.2022.3168804
https://doi.org/10.1109/tai.2022.3168804
Publikováno v:
The Journal of Supercomputing. 78:14137-14163
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31217bd929c6955cdbb3512fcaec05df
https://doi.org/10.1007/s11227-022-04406-6
https://doi.org/10.1007/s11227-022-04406-6
Autor:
Octavi Font, Jordina Torrents-Barrena, Dídac Royo, Sandra Banderas García, Javier Zarranz-Ventura, Anniken Bures, Cecilia Salinas, Miguel Ángel Zapata
Publikováno v:
Scientia
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Purpose This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. Methods Retrospective diagnostic test evaluation on a raw dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3455cd4e12f772794550adce2dd0fb7
https://hdl.handle.net/11351/8408
https://hdl.handle.net/11351/8408
Autor:
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene-Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Eduard Gratacós, Elisenda Bonet, Elisenda Eixarch, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir
Most artificial intelligence (AI) research have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d45709ecc74b5ccea0eb96a2a8572403
http://arxiv.org/abs/2209.09610
http://arxiv.org/abs/2209.09610
Autor:
Miguel Ángel González Ballester, Jordina Torrents-Barrena, Mario Ceresa, Núria Monill, Gemma Piella, Eduard Gratacós, Elisenda Eixarch
Publikováno v:
Academic Radiology. 28:173-188
Recent advances in fetal imaging open the door to enhanced detection of fetal disorders and computer-assisted surgical planning. However, precise segmentation of womb's tissues is challenging due to motion artifacts caused by fetal movements and mate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::487581ea63dc3ba52175a88b91435904
https://doi.org/10.1016/j.acra.2019.11.006
https://doi.org/10.1016/j.acra.2019.11.006
Autor:
Mario Ceresa, Elisenda Eixarch, Miguel Ángel González Ballester, Eduard Gratacós, Brenda Valenzuela-Alcaraz, Jordina Torrents-Barrena, Gemma Piella
Publikováno v:
IEEE Transactions on Medical Imaging. 39:3595-3606
Twin-to-twin transfusion syndrome (TTTS) is characterized by an unbalanced blood transfer through placental abnormal vascular connections. Prenatal ultrasound (US) is the imaging technique to monitor monochorionic pregnancies and diagnose TTTS. Fetos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::813580138fb9d5d918606fbe132a1825
https://doi.org/10.1109/tmi.2020.3001028
https://doi.org/10.1109/tmi.2020.3001028