Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rula Amer"'
Autor:
Rula Amer, Jannette Nassar, Amira Trabelsi, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
Publikováno v:
Bioengineering, Vol 9, Iss 7, p 315 (2022)
Purpose: Infiltration of fat into lower limb muscles is one of the key markers for the severity of muscle pathologies. The level of fat infiltration varies in its severity across and within patients, and it is traditionally estimated using visual rad
Externí odkaz:
https://doaj.org/article/6e0fb7e4c76a4bf68086cc0e25b84a19
Autor:
Maayan Frid-Adar, Rula Amer, Dor Amran, Asher Kabakovitch, Nimrod Sagie, Hayit Greenspan, Ophir Gozes
Publikováno v:
Thoracic Image Analysis
Lecture Notes in Computer Science
Thoracic Image Analysis ISBN: 9783030624682
TIA@MICCAI
Lecture Notes in Computer Science
Thoracic Image Analysis ISBN: 9783030624682
TIA@MICCAI
The outbreak of the COVID-19 global pandemic has affected millions and has a severe impact on our daily lives. To support radiologists in this overwhelming challenge, we developed a weakly supervised deep learning framework that can detect, localize,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f79e356a23804003cb6cbdbaed7dfc
In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression. To achieve this goal, we developed a deep learning model for simultaneous detection and segmentation of pneumonia in che
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db214e8eda61012748c6896bd76669ac
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322250
MICCAI (6)
MICCAI (6)
Chest radiographs are frequently used to verify the correct intubation of patients in the emergency room. Fast and accurate identification and localization of the endotracheal (ET) tube is critical for the patient. In this study we propose a novel au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3d802095fd557e3e7a66c11f11135a
https://doi.org/10.1007/978-3-030-32226-7_87
https://doi.org/10.1007/978-3-030-32226-7_87
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322441
Magnetic resonance imaging (MRI) of thigh and calf muscles is one of the most effective techniques for estimating fat infiltration into muscular dystrophies. The infiltration of adipose tissue into the diseased muscle region varies in its severity ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eccf0d4e654ba89187ab6af8332b73d
https://doi.org/10.1007/978-3-030-32245-8_25
https://doi.org/10.1007/978-3-030-32245-8_25
Publikováno v:
Image Analysis for Moving Organ, Breast, and Thoracic Images ISBN: 9783030009458
RAMBO+BIA+TIA@MICCAI
RAMBO+BIA+TIA@MICCAI
Accurate segmentation of anatomical structures in chest radiographs is essential for many computer-aided diagnosis tasks. In this paper we investigate the latest fully-convolutional architectures for the task of multi-class segmentation of the lungs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f6e8dde84f2951f4e4a9d12f8e7444
https://doi.org/10.1007/978-3-030-00946-5_17
https://doi.org/10.1007/978-3-030-00946-5_17
Publikováno v:
2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).
Diffusion Magnetic Resonance Imaging (DMRI) can be used to reconstruct the main neural pathways in the brain, herein termed ‘fibers’. Segmentation of anatomical tracts out of full brain fiber-sets acquired by tractography can lead to a better und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5d3d468b720af9680197e1709813e1b
https://doi.org/10.1109/icsee.2016.7806057
https://doi.org/10.1109/icsee.2016.7806057