Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Salehe Erfanian Ebadi"'
Autor:
Deepa Krishnaswamy, Salehe Erfanian Ebadi, Seyed Ehsan Seyed Bolouri, Dornoosh Zonoobi, Russell Greiner, Nathaniel Meuser-Herr, Jacob L Jaremko, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar
Publikováno v:
International Journal of Noncommunicable Diseases, Vol 6, Iss 5, Pp 69-75 (2021)
Context: Efficiently diagnosing COVID-19-related pneumonia is of high clinical relevance. Point-of-care ultrasound allows detecting lung conditions via patterns of artifacts, such as clustered B-lines. Aims: The aim is to classify lung ultrasound vid
Externí odkaz:
https://doaj.org/article/4d14ad7bc9a944ecb102b35a391613a8
Autor:
Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, Dornoosh Zonoobi, Russell Greiner, Nathaniel Meuser-Herr, Jacob L. Jaremko, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar
Publikováno v:
Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100687- (2021)
There is a crucial need for quick testing and diagnosis of patients during the COVID-19 pandemic. Lung ultrasound is an imaging modality that is cost-effective, widely accessible, and can be used to diagnose acute respiratory distress syndrome in pat
Externí odkaz:
https://doaj.org/article/fb0d30bf1bbf436e81e5a691193a01ca
Autor:
Russell Greiner, Nathaniel Meuser-Herr, Kumaradevan Punithakumar, Jacob L. Jaremko, Jeevesh Kapur, Dornoosh Zonoobi, Deepa Krishnaswamy, Salehe Erfanian Ebadi, Michelle Noga, Seyed Ehsan Seyed Bolouri
Publikováno v:
International Journal of Noncommunicable Diseases, Vol 6, Iss 5, Pp 69-75 (2021)
Context: Efficiently diagnosing COVID-19-related pneumonia is of high clinical relevance. Point-of-care ultrasound allows detecting lung conditions via patterns of artifacts, such as clustered B-lines. Aims: The aim is to classify lung ultrasound vid
Autor:
Seyed Ehsan Seyed Bolouri, Salehe Erfanian Ebadi, Jacob L. Jaremko, Nathaniel Meuser-Herr, Russell Greiner, Deepa Krishnaswamy, Dornoosh Zonoobi, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar
Publikováno v:
Informatics in Medicine Unlocked, Vol 25, Iss, Pp 100687-(2021)
Informatics in Medicine Unlocked
Informatics in Medicine Unlocked
There is a crucial need for quick testing and diagnosis of patients during the COVID-19 pandemic. Lung ultrasound is an imaging modality that is cost-effective, widely accessible, and can be used to diagnose acute respiratory distress syndrome in pat
Publikováno v:
ICDP
8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017)
8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017)
We explore the problem of subspace clustering. Given a set of data samples approximately drawn from a union of multiple subspaces, our goal is to cluster the samples into respective subspaces, and also remove possible outliers. We propose an Approxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ef5a2608b68c208c1ce6222e27b320
Publikováno v:
ICCV Workshops
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Sparse coding-based algorithms have been successfully applied to the single-image super resolution problem. Conventional multi-image super-resolution (SR) algorithms incorporate auxiliary frames into the model by a registration process using subpixel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d8c5ce012a5f29b6666e2178f709ca
Publikováno v:
ICIP
Video analysis often begins with background subtraction, which consists of creation of a background model that allows distinguishing foreground pixels. Recent evaluation of background subtraction techniques demonstrated that there are still considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39a0323e2f27b7f11d17f74fb3327fda
https://zenodo.org/record/1133261
https://zenodo.org/record/1133261
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464473
ECCV (1)
ECCV (1)
Video analysis often begins with background subtraction which consists of creation of a background model, followed by a regularization scheme. Recent evaluation of representative background subtraction techniques demonstrated that there are still con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7e270a1f61e552b9559207c29da642
Publikováno v:
IWSSIP
This paper presents an approximated Robust Principal Component Analysis (ARPCA) framework for recovery of a set of linearly correlated images. Our algorithm seeks an optimal solution for decomposing a batch of realistic unaligned and corrupted images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630e152c80071d12575f6c6c97caffb3
https://zenodo.org/record/1133257
https://zenodo.org/record/1133257
Publikováno v:
ICIP
Decomposition of a video scene into background and foreground is an old problem, for which novel approaches in the last years have been proposed. The robust subspace approach based on a low-rank plus sparse matrix decomposition has shown a great abil