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Fahime Khozeimeh
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2020 – today
- 2024
- [j14]Afshin Shoeibi, Marjane Khodatars
, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - 2023
- [j13]Fahime Khozeimeh, Roohallah Alizadehsani
, Milad Shirani
, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny
, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya
:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j12]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain
, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - 2022
- [j11]Hussain Mohammed Dipu Kabir
, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal
, Saeid Nahavandi, U. Rajendra Acharya
:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j10]Delaram Sadeghi, Afshin Shoeibi
, Navid Ghassemi
, Parisa Moridian, Ali Khadem
, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya
:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - 2021
- [j9]Danial Sharifrazi, Roohallah Alizadehsani
, Mohamad Roshanzamir, Javad Hassannataj Joloudari
, Afshin Shoeibi
, Mahboobeh Jafari, Sadiq Hussain
, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi
, Saeid Nahavandi, Maryam Panahiazar, Assef Zare
, Sheikh Mohammed Shariful Islam
, U. Rajendra Acharya
:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j8]Roohallah Alizadehsani
, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi
, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan
, U. Rajendra Acharya
:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j7]Afshin Shoeibi
, Marjane Khodatars
, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani
, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j6]Roohallah Alizadehsani
, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari
, Afshin Shoeibi
, Juan Manuel Górriz, Sadiq Hussain
, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
, U. Rajendra Acharya
:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [i5]Roohallah Alizadehsani
, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari
, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i4]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i3]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari
, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei
, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i2]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - 2020
- [i1]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani
, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020)
2010 – 2019
- 2019
- [j5]Roohallah Alizadehsani
, Moloud Abdar
, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya
:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - 2018
- [j4]Roohallah Alizadehsani
, Mohammad Javad Hosseini, Abbas Khosravi
, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi:
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [d2]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Immunotherapy Dataset. UCI Machine Learning Repository, 2018 - [d1]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Cryotherapy Dataset. UCI Machine Learning Repository, 2018 - 2017
- [j3]Fahime Khozeimeh, Roohallah Alizadehsani
, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh
, Saeid Nahavandi:
An expert system for selecting wart treatment method. Comput. Biol. Medicine 81: 167-175 (2017) - 2016
- [j2]Roohallah Alizadehsani
, Mohammad Hossein Zangooei
, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi
, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan
, Saeid Nahavandi:
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016) - 2012
- [j1]Roohallah Alizadehsani
, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani
:
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. Int. J. Knowl. Discov. Bioinform. 3(1): 59-79 (2012)
Coauthor Index
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last updated on 2024-08-05 21:16 CEST by the dblp team
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