Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ido Roth"'
Autor:
Agnieszka, Witkowska, Shiran, Levy, Ido, Roth, Moran, Shochat, Danielle, Bradbury, Jacob, Sosna, Isaac, Leichter, S Nahum, Goldberg, Sebastian, Flacke
Publikováno v:
Surgical technology international. 41
To assess the performance and accuracy of CT-guided needle insertion for clinical biopsies using a novel, hands-free robotic system that balances accuracy with the duration of the procedure and radiation dose.A prospective, multi-center study was con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c4cfd1f1cd4d1f12b0b5b7d7b9bf257a
https://pubmed.ncbi.nlm.nih.gov/36255719
https://pubmed.ncbi.nlm.nih.gov/36255719
Autor:
Moran Shochat, Isaac Leichter, Jacob Sosna, Ido Roth, Sebastian Flacke, Shiran Levy, S. Nahum Goldberg
Publikováno v:
Abdominal radiology (New York). 46(10)
To assess accuracy and compare protocols for CT-guided needle insertion for clinical biopsies using a hands-free robotic system, balancing system accuracy with duration of procedure and radiation dose. Thirty-two percutaneous abdominal and pelvic bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd7e57d9db67798cb7781bf6717bd5b5
https://pubmed.ncbi.nlm.nih.gov/34146132
https://pubmed.ncbi.nlm.nih.gov/34146132
Autor:
Michael Margaliot, Ido Roth
Publikováno v:
Fuzzy Sets and Systems. 161:2569-2584
Artificial neural networks (ANNs) are often trained using gradient descent algorithms (such as backpropagation). An important problem in the learning process is the slowdown incurred by temporary minima (TM). We analyze this problem for an ANN traine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::929747720f45b98f7226f7526be7ffc3
https://doi.org/10.1016/j.fss.2010.04.007
https://doi.org/10.1016/j.fss.2010.04.007
Autor:
Michael Margaliot, Ido Roth
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642024771
IWANN (1)
IWANN (1)
An important problem in learning using gradient descent algorithms (such as backprop) is the slowdown incurred by temporary minima (TM). We consider this problem for an artificial neural network trained to solve the XOR problem. The network is transf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30fb8fe6e2503fd7eeeb7c050459fd01
https://doi.org/10.1007/978-3-642-02478-8_17
https://doi.org/10.1007/978-3-642-02478-8_17
Publikováno v:
SPIE Proceedings.
ACMD, a new algorithm for Automatic Clustering of Multi-dimensional Data, is a practical method for the automatic segmentation of hyperspectral images into distinct homogenous groupings. The ACMD algorithm employs a top-down approach in which cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07387856678530bf889ee126f33148a
https://doi.org/10.1117/12.577804
https://doi.org/10.1117/12.577804