Zobrazeno 1 - 10
of 545
pro vyhledávání: '"Pérez, Alejandra"'
Autor:
Das, Adrito, Khan, Danyal Z., Psychogyios, Dimitrios, Zhang, Yitong, Hanrahan, John G., Vasconcelos, Francisco, Pang, You, Chen, Zhen, Wu, Jinlin, Zou, Xiaoyang, Zheng, Guoyan, Qayyum, Abdul, Mazher, Moona, Razzak, Imran, Li, Tianbin, Ye, Jin, He, Junjun, Płotka, Szymon, Kaleta, Joanna, Yamlahi, Amine, Jund, Antoine, Godau, Patrick, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Rivoir, Dominik, Pérez, Alejandra, Rodriguez, Santiago, Arbeláez, Pablo, Stoyanov, Danail, Marcus, Hani J., Bano, Sophia
The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a surgery: including which surgical steps are performed; and which surgical
Externí odkaz:
http://arxiv.org/abs/2409.01184
Autor:
Pérez, Alejandra, Rodríguez, Santiago, Ayobi, Nicolás, Aparicio, Nicolás, Dessevres, Eugénie, Arbeláez, Pablo
Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages. Existing methods often rely on fixed temporal windows for video analysis to identify
Externí odkaz:
http://arxiv.org/abs/2407.17361
Autor:
Ayobi, Nicolás, Rodríguez, Santiago, Pérez, Alejandra, Hernández, Isabela, Aparicio, Nicolás, Dessevres, Eugénie, Peña, Sebastián, Santander, Jessica, Caicedo, Juan Ignacio, Fernández, Nicolás, Arbeláez, Pablo
This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as a hierarchy of complementary tasks with varying levels of granularity
Externí odkaz:
http://arxiv.org/abs/2401.11174
Autor:
Psychogyios, Dimitrios, Colleoni, Emanuele, Van Amsterdam, Beatrice, Li, Chih-Yang, Huang, Shu-Yu, Li, Yuchong, Jia, Fucang, Zou, Baosheng, Wang, Guotai, Liu, Yang, Boels, Maxence, Huo, Jiayu, Sparks, Rachel, Dasgupta, Prokar, Granados, Alejandro, Ourselin, Sebastien, Xu, Mengya, Wang, An, Wu, Yanan, Bai, Long, Ren, Hongliang, Yamada, Atsushi, Harai, Yuriko, Ishikawa, Yuto, Hayashi, Kazuyuki, Simoens, Jente, DeBacker, Pieter, Cisternino, Francesco, Furnari, Gabriele, Mottrie, Alex, Ferraguti, Federica, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Kim, Soohee, Lee, Seung Hyun, Lee, Kyu Eun, Kong, Hyoun-Joong, Fu, Kui, Li, Chao, An, Shan, Krell, Stefanie, Bodenstedt, Sebastian, Ayobi, Nicolas, Perez, Alejandra, Rodriguez, Santiago, Puentes, Juanita, Arbelaez, Pablo, Mohareri, Omid, Stoyanov, Danail
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems. Nowadays, learning-based action recognition an
Externí odkaz:
http://arxiv.org/abs/2401.00496
Autor:
Pérez, Alejandra
Publikováno v:
THĒMIS-Revista de Derecho; Núm. 13 (1988); 45-48
Externí odkaz:
http://revistas.pucp.edu.pe/index.php/themis/article/view/10758/11250
http://repositorio.pucp.edu.pe/index/handle/123456789/108239
http://repositorio.pucp.edu.pe/index/handle/123456789/108239
Diffusion models play an essential role in modeling continuous-time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations. We p
Externí odkaz:
http://arxiv.org/abs/2208.08420
Given the importance of continuous-time stochastic volatility models to describe the dynamics of interest rates, we propose a goodness-of-fit test for the parametric form of the drift and diffusion functions, based on a marked empirical process of th
Externí odkaz:
http://arxiv.org/abs/2208.08415
Publikováno v:
In Journal of Materials Research and Technology January-February 2024 28:390-410
Autor:
Oropeza Calderón, Natalia1 natalia.oropeza@inegi.org.mx, Pérez Pérez, Alejandra2
Publikováno v:
Revista Científica General José María Córdova. abr-jun2024, Vol. 22 Issue 46, p409-431. 23p.
Autor:
Marrero-Rodríguez, Daniel, Vela-Patiño, Sandra, Martinez-Mendoza, Florencia, Valenzuela-Perez, Alejandra, Peña-Martínez, Eduardo, Cano-Zaragoza, Amayrani, Kerbel, Jacobo, Andonegui-Elguera, Sergio, Glick-Betech, Shimon S., Hermoso-Mier, Karla X., Mercado-Medrez, Sophia, Moscona-Nissan, Alberto, Taniguchi-Ponciano, Keiko, Mercado, Moises
Publikováno v:
In Archives of Medical Research December 2023 54(8)