Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Nastaran Enshaei"'
Autor:
Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Reverse transcription-polymerase chain reaction is currently the gold standard in COVID-19 diagnosis. It can, however, take days to provide the diagnosis, and false negative rate is relatively high. Imaging, in particular chest computed tomo
Externí odkaz:
https://doaj.org/article/77d4718f9950493cb1424375781b3870
Autor:
Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making the situation more challenging and threatening. Evaluation a
Externí odkaz:
https://doaj.org/article/e5a9b47625b741eaa45b39b1e7d49c8c
Autor:
Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. plataniotis, Arash Mohammadi
Publikováno v:
PLoS ONE, Vol 18, Iss 3 (2023)
The main objective of this study is to develop a robust deep learning-based framework to distinguish COVID-19, Community-Acquired Pneumonia (CAP), and Normal cases based on volumetric chest CT scans, which are acquired in different imaging centers us
Externí odkaz:
https://doaj.org/article/ed252401820644f4a536fa4c3aebeadf
Autor:
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-8 (2021)
Measurement(s) Low Dose Computed Tomography of the Chest • viral infectious disease Technology Type(s) digital curation • image processing technique Factor Type(s) sex • gender • age group • weight • clinical characteristics • covid-19
Externí odkaz:
https://doaj.org/article/086f566e902c45d4b2ebd8c2a8626843
Autor:
Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, S. Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
The newly discovered Coronavirus Disease 2019 (COVID-19) has been globally spreading and causing hundreds of thousands of deaths around the world as of its first emergence in late 2019. The rapid outbreak of this disease has overwhelmed health care i
Externí odkaz:
https://doaj.org/article/f49af0dcec87434e8826063b103f5c00
Autor:
Anastasia Oikonomou, Javad Rafiee, Yingxu Wang, Svetlana Yanushkevich, Farnoosh Naderkhani, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira, Arash Mohammadi, Nastaran Enshaei, Parnian Afshar
Publikováno v:
IEEE Signal Processing Magazine. 38:37-66
The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew it in 2020. It has become the most unprecedented challenge to analytic epidemiology (AE) in general and signal processing (SP) theories specifically. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e41c242cedb894635452d552764446
https://doi.org/10.1109/msp.2021.3090674
https://doi.org/10.1109/msp.2021.3090674
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1f68274001c54689e1e698a89a8bd2
https://doi.org/10.23919/eusipco55093.2022.9909537
https://doi.org/10.23919/eusipco55093.2022.9909537
A long-standing challenge of deep learning models involves how to handle noisy labels, especially in applications where human lives are at stake. Adoption of the data Shapley Value (SV), a cooperative game theoretical approach, is an intelligent valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc35d167be084b1d1c9455d75ba2f34b
http://arxiv.org/abs/2110.08726
http://arxiv.org/abs/2110.08726
Autor:
Arash Mohammadi, Nastaran Enshaei, Moezedin Javad Rafiee, Shahin Heidarian, Farnoosh Naderkhani, Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Faranak Babaki Fard
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
The novel Coronavirus disease (COVID-19) has been the most critical global challenge over the past months. Lung involvement quantification and distinguishing the types of infections from chest CT scans can assist in accurate severity assessment of CO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7901a6eff21ff30e5fc8c9fd72539739
https://doi.org/10.1109/icas49788.2021.9551169
https://doi.org/10.1109/icas49788.2021.9551169
Autor:
Parnian Afshar, Shahin Heidarian, Faranak Babaki Fard, Farnoosh Naderkhani, Akbar Shafiee, Anastasia Oikonomou, Moezedin Javad Rafiee, Konstantinos N. Plataniotis, Arash Mohammadi, Nastaran Enshaei
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
The automatic diagnosis of lung infections using chest computed tomography (CT) scans has been recently obtained remarkable significance, particularly during the COVID-19 pandemic that the early diagnosis of the disease is of utmost importance. In ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14044a73afe4a83133fedaf1ff71e086
https://doi.org/10.1109/icas49788.2021.9551176
https://doi.org/10.1109/icas49788.2021.9551176