Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ismael Serrano"'
Autor:
Marco Ojer, Hugo Alvarez, Ismael Serrano, Fátima A. Saiz, Iñigo Barandiaran, Daniel Aguinaga, Leire Querejeta, David Alejandro
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 796 (2020)
Personalized production is moving the progress of industrial automation forward, and demanding new tools for improving the decision-making of the operators. This paper presents a new, projection-based augmented reality system for assisting operators
Externí odkaz:
https://doaj.org/article/af5e831952f54c879e170a5a143a5b4f
Autor:
Ismael Serrano-Gracia
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 16, Iss 2 (2018)
While action detection has become an important line of research in computer vision, the detection of particular events such as violence, aggression or fights, has been relatively less studied. These tasks may be extremely useful in several video surv
Externí odkaz:
https://doaj.org/article/9a27e19d4b934b859b69b49de2ad1e9c
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0120448 (2015)
Action recognition has become a hot topic within computer vision. However, the action recognition community has focused mainly on relatively simple actions like clapping, walking, jogging, etc. The detection of specific events with direct practical u
Externí odkaz:
https://doaj.org/article/d5256d19dcee4580b5fe21fbd3160f2a
Autor:
Leire Querejeta, Daniel Aguinaga, Ismael Serrano, David Alejandro, Iñigo Barandiaran, Hugo Álvarez, Fátima A. Saiz, Marco Ojer
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 796 (2020)
Applied Sciences
Volume 10
Issue 3
Applied Sciences
Volume 10
Issue 3
Personalized production is moving the progress of industrial automation forward, and demanding new tools for improving the decision-making of the operators. This paper presents a new, projection-based augmented reality system for assisting operators
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::001a02543cfc3cb7cd7c2aa9e2729c75
https://www.mdpi.com/2076-3417/10/3/796
https://www.mdpi.com/2076-3417/10/3/796
Publikováno v:
Machine Vision and Applications. 29:207-217
While action recognition has become an important line of research in computer vision, the recognition of particular events such as aggressive behaviors, or fights, has been relatively less studied. These tasks may be exceedingly useful in some video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe73a4d07c398bc6128f9ed33e5e8d8
https://doi.org/10.1007/s00138-017-0894-7
https://doi.org/10.1007/s00138-017-0894-7
Autor:
Ismael Serrano
El cantautor Ismael Serrano nos presenta, a través de relatos, a aquellas personas que se han cruzado en su camino. De aldea en aldea, el viento lo lleva siguiendo el sendero. Su patria es el mundo. Como un vagabundo va el titiritero, cantaba Serrat
Publikováno v:
MIUA
The goal of this challenge 1 was to evaluate new and existing algorithms for automated detection of metastases in hematoxylin and eosin (H&E) stained whole-slide images of lymph node sections. To this end, both slide-based and lesion-based evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82b0289cf2ea54106218d9aec3adef2e
https://doi.org/10.1016/j.procs.2016.07.030
https://doi.org/10.1016/j.procs.2016.07.030
Publikováno v:
IEEE Conf. on Intelligent Systems
The final product quality control is critical for any manufacturing process. In the case of steel products, there are different inspection methods that are able to classify the defects, but they usually require human intervention. In this context, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe5311a418d6a1fb9197d64d277df022
https://doi.org/10.1109/is.2018.8710501
https://doi.org/10.1109/is.2018.8710501
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 27(10)
While action recognition has become an important line of research in computer vision, the recognition of particular events, such as aggressive behaviors, or fights, has been relatively less studied. These tasks may be extremely useful in several vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac635cfbf0ac1b9ff84ef37c269f1aad
https://pubmed.ncbi.nlm.nih.gov/29994215
https://pubmed.ncbi.nlm.nih.gov/29994215
Autor:
Ugur Halici, Rishab Gargeya, Quincy Wong, Hady Ahmady Phoulady, David Tellez, Bram van Ginneken, Andrew H. Beck, Nico Karssemeijer, Jeroen van der Laak, Nassir Navab, Jonas Annuscheit, Leena Latonen, Kaisa Liimatainen, Talha Qaiser, Dayong Wang, Quirine F. Manson, Aoxiao Zhong, Shigeto Seno, Yee-Wah Tsang, Rui Venâncio, Ismael Serrano, Daniel Racoceanu, N. Stathonikos, Muhammad Shaban, Stefanie Demirci, M. Milagro Fernández-Carrobles, Babak Ehteshami Bejnordi, Matt Berseth, Mustafa Umit Oner, Geert Litjens, Kimmo Kartasalo, Hideo Matsuda, Maschenka Balkenhol, Huangjing Lin, Elia Bruni, Hao Chen, Seiryo Watanabe, A. Kalinovsky, Marcory C. R. F. van Dijk, Ami George, Nasir M. Rajpoot, Francisco Beca, Quanzheng Li, Meyke Hermsen, Mira Valkonen, Oscar Deniz, Alexei Vylegzhanin, Vitali Liauchuk, Ruqayya Awan, Mitko Veta, Korsuk Sirinukunwattana, Gloria Bueno, Peter Hufnagl, Christian Haß, Vassili Kovalev, Vitali Khvatkov, Rengul Cetin-Atalay, Humayun Irshad, Oren Kraus, Qi Dou, Pekka Ruusuvuori, Aditya Khosla, Bharti Mungal, Pheng-Ann Heng, Oscar Geessink, Paul J. van Diest, Shadi Albarqouni, Peter Bult, Yoichi Takenaka
Publikováno v:
JAMA Cardiology
JAMA Cardiology, American Medical Association 2017, 318, ⟨10.1001/jama.2017.14585⟩
Jama : Journal of the American Medical Association, 318, 2199-2210
JAMA Neurology, 318(22), 2199-2210. American Medical Association (AMA)
Jama : Journal of the American Medical Association, 318, 22, pp. 2199-2210
JAMA-The Journal of The American Medical Association, 318(22), 2199. American Medical Association
JAMA Cardiology, American Medical Association 2017, 318, ⟨10.1001/jama.2017.14585⟩
Jama : Journal of the American Medical Association, 318, 2199-2210
JAMA Neurology, 318(22), 2199-2210. American Medical Association (AMA)
Jama : Journal of the American Medical Association, 318, 22, pp. 2199-2210
JAMA-The Journal of The American Medical Association, 318(22), 2199. American Medical Association
IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the performance of automated deep learning algorithms at detecting metastases in hematoxy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5e2e1ebc60e746d57a0deffa5ee651b
https://hal.archives-ouvertes.fr/hal-03140979/document
https://hal.archives-ouvertes.fr/hal-03140979/document