Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Angelica Ruszkowski"'
Publikováno v:
ICRA
This paper describes the implementation of a heart motion compensation system on the da Vinci surgical system (Intuitive Surgical Inc.) with the da Vinci Research Kit, for the purpose of simulating minimally invasive coronary artery bypass surgery on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e31cc2f2f6a2f33379edbbb191e413
https://doi.org/10.1109/icra.2016.7487601
https://doi.org/10.1109/icra.2016.7487601
Autor:
Septimiu E. Salcudean, Richard C Cook, Sam V Lichtenstein, Angelica Ruszkowski, Omid Mohareri
Publikováno v:
ICRA
This paper describes the implementation of a heart motion compensation system on the da Vinci surgical system (Intuitive Surgical Inc.) for coronary artery bypass surgery. By introducing a robot-assisted solution, this surgery could be performed comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c92edccecbdb2b6eca8a30be0effbd3
https://doi.org/10.1109/icra.2015.7139812
https://doi.org/10.1109/icra.2015.7139812
Autor:
Omid, Mohareri, Angelica, Ruszkowski, Julio, Lobo, Joseph, Ischia, Ali, Baghani, Guy, Nir, Hani, Eskandari, Edward, Jones, Ladan, Fazli, Larry, Goldenberg, Mehdi, Moradi, Septimiu, Salcudean
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1)
In this article, we describe a system for detecting dominant prostate tumors, based on a combination of features extracted from a novel multi-parametric quantitative ultrasound elastography technique. The performance of the system was validated on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::22a08c7ef18002317ec4133efdb989c5
https://pubmed.ncbi.nlm.nih.gov/25333163
https://pubmed.ncbi.nlm.nih.gov/25333163
Autor:
Angelica Ruszkowski, Julio Lobo, Hani Eskandari, Larry Goldenberg, Guy Nir, Septimiu E. Salcudean, Ali Baghani, Ladan Fazli, Edward C. Jones, Omid Mohareri, Mehdi Moradi, Joseph Ischia
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 ISBN: 9783319104034
MICCAI (1)
MICCAI (1)
In this article, we describe a system for detecting dominant prostate tumors, based on a combination of features extracted from a novel multi-parametric quantitative ultrasound elastography technique. The performance of the system was validated on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa5d80017f59e575366f46d409827fbc
https://doi.org/10.1007/978-3-319-10404-1_70
https://doi.org/10.1007/978-3-319-10404-1_70
