Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Shiri Gordon"'
Autor:
Tammy Riklin Raviv, Tal Goldfryd, Jacob Goldberger, Shiri Gordon, Michael Sidorov, Boris Kodner
Publikováno v:
Medical & Biological Engineering & Computing. 59:1833-1849
We present the Atlas of Classifiers (AoC)—a conceptually novel framework for brain MRI segmentation. The AoC is a spatial map of voxel-wise multinomial logistic regression (LR) functions learned from the labeled data. Upon convergence, the resultin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4956e7b0286a872cadbac871b4d430c9
https://doi.org/10.1007/s11517-021-02414-x
https://doi.org/10.1007/s11517-021-02414-x
Publikováno v:
ISBI
A bias field is an artifact inherent to MRI scanners which is manifested by a smooth intensity variation across the scans. We present an innovative generative approach to address the inverse problem of bias field estimation and removal in a semi-supe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37feb6f5bd2a5434601fb0a178ac3300
https://doi.org/10.1109/isbi48211.2021.9433889
https://doi.org/10.1109/isbi48211.2021.9433889
Autor:
Shiri, Gordon, Boris, Kodner, Tal, Goldfryd, Michael, Sidorov, Jacob, Goldberger, Tammy Riklin, Raviv
Publikováno v:
Medicalbiological engineeringcomputing. 59(9)
We present the Atlas of Classifiers (AoC)-a conceptually novel framework for brain MRI segmentation. The AoC is a spatial map of voxel-wise multinomial logistic regression (LR) functions learned from the labeled data. Upon convergence, the resulting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::51892e64994b7e48679fd9ab60edacdb
https://pubmed.ncbi.nlm.nih.gov/34313921
https://pubmed.ncbi.nlm.nih.gov/34313921
Publikováno v:
NeuroImage. 178:346-369
MRI Segmentation of a pathological brain poses a significant challenge, as the available anatomical priors that provide top-down information to aid segmentation are inadequate in the presence of abnormalities. This problem is further complicated for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97e268358e919e1a1fda9b5f1359681a
https://doi.org/10.1016/j.neuroimage.2018.04.039
https://doi.org/10.1016/j.neuroimage.2018.04.039
Publikováno v:
Diseases in the Breast and Reproductive System V.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd47779a1236e1235cf5d20eb48187c7
https://doi.org/10.1117/12.2508338
https://doi.org/10.1117/12.2508338
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783319673882
MLMI@MICCAI
MLMI@MICCAI
We present a conceptually novel framework for brain tissue segmentation based on an Atlas of Classifiers (AoC). The AoC allows a statistical summary of the annotated datasets taking into account both the imaging data and the corresponding labels. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4038594302c459bd7a84b9d309827e28
https://doi.org/10.1007/978-3-319-67389-9_5
https://doi.org/10.1007/978-3-319-67389-9_5
Publikováno v:
ISBI
Challenging biomedical segmentation problems can be addressed by combining top-down information based on the known anatomy along with bottom-up models of the image data. Anatomical priors can be provided by probabilistic atlases. Nevertheless, in man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815cc44b8325ec054bd4ba3e0782465e
https://doi.org/10.1109/isbi.2016.7493292
https://doi.org/10.1109/isbi.2016.7493292
Autor:
Shiri Gordon, Hayit Greenspan
Publikováno v:
Image and Vision Computing. 28:1682-1701
The National Cancer Institute has collected a large database of uterine cervix images termed ''cervigrams'', for cervical cancer screening research. Tissues of interest within the cervigram, in particular the lesions, are of varying sizes and of comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02745d1240d019afe317665cb70c9c9
https://doi.org/10.1016/j.imavis.2010.05.008
https://doi.org/10.1016/j.imavis.2010.05.008
Autor:
Shiri Gordon, Shelly Lotenberg, G. Zimmerman, Sameer Antani, Jose Jeronimo, Hayit Greenspan, Rodney Long
Publikováno v:
IEEE Transactions on Medical Imaging. 28:454-468
The work focuses on a unique medical repository of digital cervicographic images (ldquoCervigramsrdquo) collected by the National Cancer Institute (NCI) in longitudinal multiyear studies. NCI, together with the National Library of Medicine (NLM), is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7560b512f7d03dac0ab2c063f2b48acd
https://doi.org/10.1109/tmi.2008.2007823
https://doi.org/10.1109/tmi.2008.2007823
Publikováno v:
Medical Imaging: Image Processing
The work focuses on a unique medical repository of digital Uterine Cervix images ("Cervigrams") collected by the National Cancer Institute (NCI), National Institute of Health, in longitudinal multi-year studies. NCI together with the National Library
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172002f08656dc2b9951457ef45a81ff
https://europepmc.org/articles/PMC3043693/
https://europepmc.org/articles/PMC3043693/