Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ronit Precel"'
Autor:
Shelly I Shiran, Danil A. Kozyrev, Shlomi Constantini, Liat Ben-Sira, Gustavo Malinger, Li-tal Pratt, Emanuela Cagnano, Jonathan Roth, Ronit Precel
Publikováno v:
Journal of Neurosurgery: Pediatrics. 24:371-375
Mature teratomas (MTs) of the posterior fossa are extremely rare. The authors present a case of a prenatal diagnosis of an MT splitting the brainstem. Representative images as well as the clinical and surgical course are presented. Literature regardi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc138b7958de96e9d2efd35a8ace6b0a
https://doi.org/10.3171/2019.5.peds19142
https://doi.org/10.3171/2019.5.peds19142
Autor:
Jorge Davila, María I Martínez-León, Zehour AlSabban, Eva Coppenrath, Mary-Louise C. Greer, G Focht, Dan Turner, Elhamy Bekhit, Li-Tal Pratt, Izabela Herman-Sucharska, Ronit Precel, Anne M. Griffiths, Osnat Konen, Matan Gavish, Sapir Choshen, Amit Assa, Denise A Castro, Ruth Cytter-Kuint
Publikováno v:
Inflammatory bowel diseases. 28(5)
Background As part of the prospective multicenter ImageKids study, we aimed to develop and validate the pediatric MRI-based perianal Crohn disease (PEMPAC) index. Methods Children with Crohn disease with any clinical perianal findings underwent pelvi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0069484ef47f1fd09f2da5b68231c98
https://pubmed.ncbi.nlm.nih.gov/34151950
https://pubmed.ncbi.nlm.nih.gov/34151950
Autor:
Shelly I Shiran, Avivit Brener, Liat Ben-Sira, Erez Azoulay, Shlomi Constantini, Yael Lebenthal, Danil A. Kozyrev, Ronit Precel, Jonathan Roth, Li-tal Pratt, Ori Eyal
Publikováno v:
Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.
Objective To explore incidental findings on brain magnetic resonance imaging (MRI) studies of pediatric patients referred due to endocrine disorders. Methods A retrospective, observational study conducted in a tertiary referral center. The neuroimagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1551567c65fd38864859158e60e02cc7
https://pubmed.ncbi.nlm.nih.gov/32576030
https://pubmed.ncbi.nlm.nih.gov/32576030
Autor:
Dorit Lev, Nitzan Vigdorovich, Liat Ben-Sira, Keren Yosovich, Ifat Nezer, Lubov Blumkin, Adeline Vanderver, Tally Lerman-Sagie, Zachary Cross, Ronit Precel, Ayelet Zerem
Publikováno v:
American journal of medical genetics. Part AREFERENCES. 182(1)
White matter (WM) signal abnormalities are demonstrated in various neurodevelopmental disorders on brain magnetic resonance imaging (MRI). The pattern of WM abnormalities can aid in the diagnostic process. This study aims to characterize the WM chang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e97ffa647b14597036289e12be8fd6ac
https://pubmed.ncbi.nlm.nih.gov/31622028
https://pubmed.ncbi.nlm.nih.gov/31622028
Autor:
Li-tal Pratt, Shlomi Constantini, Jonathan Roth, Ronit Precel, Dror Ovadia, Liat Ben-Sira, Shelly I Shiran
Publikováno v:
World neurosurgery. 116
Shunt series (SS) are a common diagnostic tool used to verify shunt integrity. SS include X-ray films of the skull, chest, and abdomen and often are performed either when a shunted patient presents with suspected shunt malfunction or as a screening t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f352bce8e1b1807de05cbd6d22b9b966
https://pubmed.ncbi.nlm.nih.gov/29730101
https://pubmed.ncbi.nlm.nih.gov/29730101
Autor:
Leo Joskowicz, Shlomi Constantini, L. Ben Sira, Ben Shofty, Ronit Precel, D. Ben Bashat, Lior Weizman
Publikováno v:
Medical Image Analysis. 16:177-188
This paper presents an automatic method for the segmentation, internal classification and follow-up of optic pathway gliomas (OPGs) from multi-sequence MRI datasets. Our method starts with the automatic localization of the OPG and its core with an an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e81532eab1ef7bfdba1df43245415fd8
https://doi.org/10.1016/j.media.2011.07.001
https://doi.org/10.1016/j.media.2011.07.001
Autor:
Iuliana Weinstein, Gad Levy, Arye Blachar, Sharon Z. Adam, Jacob Sosna, Sophie Barnes, Ronit Precel, Michael P. Federle
Publikováno v:
Emergency radiology. 18(5)
The aim of this study was to evaluate the performance of radiologists in the diagnosis of acute intestinal ischemia using specific multi-detector CT findings. The abdominal CT scans of 90 patients were retrospectively reviewed by three radiologists:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e9256faaaf9dfab2b8fcd25b7a98dc8
https://pubmed.ncbi.nlm.nih.gov/21655965
https://pubmed.ncbi.nlm.nih.gov/21655965
Autor:
Lior, Weizman, Liat, Ben-Sira, Leo, Joskowicz, Ronit, Precel, Shlomi, Constantini, Dafna, Ben-Bashat
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 13(Pt 1)
We present a new method for the automatic segmentation and components classification of brain Optic Pathway Gliomas (OPGs) from multi-spectral MRI datasets. Our method accurately identifies the sharp OPG boundaries and consistently delineates the mis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fee3a225a7e4a200f44d2c5ff7df687a
https://pubmed.ncbi.nlm.nih.gov/20879220
https://pubmed.ncbi.nlm.nih.gov/20879220
Autor:
Lior Weizman, Dafna Ben-Bashat, Leo Joskowicz, Liat Ben-Sira, Ronit Precel, Shlomi Constantini
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 ISBN: 9783642157042
MICCAI (1)
MICCAI (1)
We present a new method for the automatic segmentation and components classification of brain Optic Pathway Gliomas (OPGs) from multi-spectral MRI datasets. Our method accurately identifies the sharp OPG boundaries and consistently delineates the mis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a6c8eec64c80bec1e9f8753156cd5ee
https://doi.org/10.1007/978-3-642-15705-9_13
https://doi.org/10.1007/978-3-642-15705-9_13
