Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Heidarian, Shahin"'
Autor:
Khademi, Sadaf, Heidarian, Shahin, Afshar, Parnian, Naderkhani, Farnoosh, Oikonomou, Anastasia, Plataniotis, Konstantinos, Mohammadi, Arash
The paper proposes a novel hybrid discovery Radiomics framework that simultaneously integrates temporal and spatial features extracted from non-thin chest Computed Tomography (CT) slices to predict Lung Adenocarcinoma (LUAC) malignancy with minimum e
Externí odkaz:
http://arxiv.org/abs/2210.15297
Autor:
HajiAkhondi-Meybodi, Zohreh, Mohammadi, Arash, Hou, Ming, Rahimian, Elahe, Heidarian, Shahin, Abouei, Jamshid, Plataniotis, Konstantinos N.
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved as an efficient solution to meet the significant growth of global mobile data traffic by boosting the content diversity in the storage of caching nodes. To meet the dynamic natu
Externí odkaz:
http://arxiv.org/abs/2210.05874
Autor:
Meybodi, Zohreh Hajiakhondi, Mohammadi, Arash, Rahimian, Elahe, Heidarian, Shahin, Abouei, Jamshid, Plataniotis, Konstantinos N.
As a consequence of the COVID-19 pandemic, the demand for telecommunication for remote learning/working and telemedicine has significantly increased. Mobile Edge Caching (MEC) in the 6G networks has been evolved as an efficient solution to meet the p
Externí odkaz:
http://arxiv.org/abs/2112.00633
Autor:
Heidarian, Shahin, Afshar, Parnian, Oikonomou, Anastasia, Plataniotis, Konstantinos N., Mohammadi, Arash
Lung cancer is the leading cause of mortality from cancer worldwide and has various histologic types, among which Lung Adenocarcinoma (LUAC) has recently been the most prevalent one. The current approach to determine the invasiveness of LUACs is surg
Externí odkaz:
http://arxiv.org/abs/2110.08721
Autor:
Khademi, Sadaf, Heidarian, Shahin, Afshar, Parnian, Enshaei, Nastaran, Naderkhani, Farnoosh, Rafiee, Moezedin Javad, Oikonomou, Anastasia, Shafiee, Akbar, Fard, Faranak Babaki, Plataniotis, Konstantinos N., Mohammadi, Arash
The 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 chest CT scans acquired in different imaging centers using various protocols, and
Externí odkaz:
http://arxiv.org/abs/2109.09241
Autor:
Enshaei, Nastaran, Oikonomou, Anastasia, Rafiee, Moezedin Javad, Afshar, Parnian, Heidarian, Shahin, Mohammadi, Arash, Plataniotis, Konstantinos N., Naderkhani, Farnoosh
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 and quanti
Externí odkaz:
http://arxiv.org/abs/2107.01527
Autor:
Afshar, Parnian, Rafiee, Moezedin Javad, Naderkhani, Farnoosh, Heidarian, Shahin, Enshaei, Nastaran, Oikonomou, Anastasia, Fard, Faranak Babaki, Anconina, Reut, Farahani, Keyvan, Plataniotis, Konstantinos N., Mohammadi, Arash
Reverse transcription-polymerase chain reaction (RT-PCR) 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:
http://arxiv.org/abs/2105.14656
Autor:
Meybodi, Zohreh Hajiakhondi, Mohammadi, Arash, Hou, Ming, Rahimian, Elahe, Heidarian, Shahin, Abouei, Jamshid, Plataniotis, Konstantinos N.
Publikováno v:
In Ad Hoc Networks 15 April 2024 157
Autor:
Heidarian, Shahin, Afshar, Parnian, Enshaei, Nastaran, Naderkhani, Farnoosh, Oikonomou, Anastasia, Atashzar, S. Farokh, Fard, Faranak Babaki, Samimi, Kaveh, Plataniotis, Konstantinos N., Mohammadi, Arash, Rafiee, Moezedin Javad
The newly discovered Corona virus 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. Computed tomography (CT) scans have shown distinctive features
Externí odkaz:
http://arxiv.org/abs/2010.16041
Autor:
Heidarian, Shahin, Afshar, Parnian, Mohammadi, Arash, Rafiee, Moezedin Javad, Oikonomou, Anastasia, Plataniotis, Konstantinos N., Naderkhani, Farnoosh
The global outbreak of the novel corona virus (COVID-19) disease has drastically impacted the world and led to one of the most challenging crisis across the globe since World War II. The early diagnosis and isolation of COVID-19 positive cases are co
Externí odkaz:
http://arxiv.org/abs/2010.16043