Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Laura Bravo-Sánchez"'
Autor:
María Escobar, Guillaume Jeanneret, Laura Bravo-Sánchez, Angela Castillo, Catalina Gómez, Diego Valderrama, Mafe Roa, Julián Martínez, Jorge Madrid-Wolff, Martha Cepeda, Marcela Guevara-Suarez, Olga L. Sarmiento, Andrés L. Medaglia, Manu Forero-Shelton, Mauricio Velasco, Juan M. Pedraza, Rachid Laajaj, Silvia Restrepo, Pablo Arbelaez
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Po
Externí odkaz:
https://doaj.org/article/a652b46398704e8bbc0d5c215a6dc91e
Autor:
Fabien Despinoy, Duygu Sarikaya, Wenjun Lin, Manoru Mitsuishi, Kanako Harada, Qi Dou, Wolfgang Reiter, Satoshi Kondo, Chin-Boon Chng, Laura Bravo-Sánchez, Yonghao Long, Kévin Le Mut, Pierre Jannin, Arnaud Huaulmé, Pablo Arbeláez
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 212, pp.106452. ⟨10.1016/j.cmpb.2021.106452⟩
Computer Methods and Programs in Biomedicine, 2021, 212, pp.106452. ⟨10.1016/j.cmpb.2021.106452⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 212, pp.106452. ⟨10.1016/j.cmpb.2021.106452⟩
Computer Methods and Programs in Biomedicine, 2021, 212, pp.106452. ⟨10.1016/j.cmpb.2021.106452⟩
The "MIcro-Surgical Anastomose Workflow recognition on training sessions" (MISAW) challenge provided a data set of 27 sequences of micro-surgical anastomosis on artificial blood vessels. This data set was composed of videos, kinematics, and workflow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb71ddab503510bccd6e287dbd4a263
https://hal.archives-ouvertes.fr/hal-03414465
https://hal.archives-ouvertes.fr/hal-03414465
Autor:
Julián Martínez, Manu Forero-Shelton, Andrés L. Medaglia, Juan Manuel Pedraza-Leal, Jorge Madrid-Wolff, Angela Castillo, Marcela Guevara-Suarez, Laura Bravo-Sánchez, Olga L. Sarmiento, Silvia Restrepo, Guillaume Jeanneret, Mauricio Velasco, Diego Valderrama, Rachid Laajaj, Catalina Gómez, María Escobar, Pablo Arbeláez, Martha L. Cepeda, Mafe Roa
Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Pooling, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::157665bbe1d88cae91ff22457c651f55
https://doi.org/10.21203/rs.3.rs-805716/v1
https://doi.org/10.21203/rs.3.rs-805716/v1
We present the first experimental framework for segmenting instruments in surgical scenes guided by natural language descriptions. Previous approaches rely exclusively on visual cues, thus ignoring the fine-grained nature of the problem. We exploit t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c90ff9c1067d32e7c1e2bb9c6accedd
Autor:
Pablo Arbeláez, Andrés L. Medaglia, Maria F. Roa, Jorge Madrid-Wolff, Mauricio Velasco, Catalina Gómez, Guillaume Jeanneret, Marcela Guevara-Suarez, Olga L. Sarmiento, María Escobar, Laura Bravo-Sánchez, Silvia Restrepo, Diego Valderrama, Manu Forero-Shelton, Julián Martínez, Angela Castillo, Juan Manuel Pedraza-Leal, Martha L. Cepeda
SummaryBackgroundCOVID-19 is an acute respiratory illness caused by the novel coronavirus SARS-CoV-2. The disease has rapidly spread to most countries and territories and has caused 14·2 million confirmed infections and 602,037 deaths as of July 19t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38739f195a148a3ee825a7b2a2e764b9
https://doi.org/10.1101/2020.07.13.20152983
https://doi.org/10.1101/2020.07.13.20152983
Autor:
Pablo Arbeláez, Annika Reinke, Sabrina Kletz, Yueming Jin, Zhen-Liang Ni, Fabian Isensee, Cristina González, Sebastian Bodenstedt, Pål Halvorsen, Lena Maier-Hein, Ruohua Shi, Beat P. Müller-Stich, Hannes Kenngott, Martin Wagner, Yan-Jie Zhou, Kadir Kirtac, Manuel Wiesenfarth, Stefanie Speidel, Stefan Leger, Zhixuan Li, Thuy Nuong Tran, Tingting Jiang, Peter M. Full, Klaus H. Maier-Hein, Patrick Scholz, Laura Bravo-Sánchez, Hua-Bin Chen, Yujie Zhang, Lei Zhu, Annette Kopp-Schneider, Zeng-Guang Hou, Diana Mindroc-Filimon, Liansheng Wang, Gutai Wang, Enes Hosgor, Hellena Hempe, Tobias Roß, Jon Lindström Bolmgren, Pierangela Bruno, Martin Apitz, Michael Riegler, Gui-Bin Bian, Lu Wang, Pheng-Ann Heng, Michael Stenzel, Klaus Schoeffmann, Debesh Jha, Dong Guo, Jiacheng Wang, Isabell Twick
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015a53cfd5f5fa1877b58b11efc5bae6
https://hdl.handle.net/10037/24876
https://hdl.handle.net/10037/24876
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
We study the task of semantic segmentation of surgical instruments in robotic-assisted surgery scenes. We propose the Instance-based Surgical Instrument Segmentation Network (ISINet), a method that addresses this task from an instance-based segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c68083c1060253e5cb6428625b2ed2
https://doi.org/10.1007/978-3-030-59716-0_57
https://doi.org/10.1007/978-3-030-59716-0_57