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Afshin Shoeibi

Showing results (11-20 of 27) with videos related to

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Computers in Biology and Medicine|August 6, 2021
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A reviewAfshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine|September 15, 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future worksAfshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine|May 15, 2022
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future worksDelaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Results in Physics|July 5, 2021
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methodsNooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, et al.
Computers in Biology and Medicine|April 7, 2023
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery diseaseFahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, et al.
Computers in Biology and Medicine|November 5, 2021
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A reviewMarjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Scientific Reports|July 29, 2021
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patientsFahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Frontiers in Molecular Neuroscience|October 21, 2022
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A reviewParisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Annals of Operations Research|March 29, 2021
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Contrast Media & Molecular Imaging|July 14, 2022
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining WeightsSeyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Computers in Biology and Medicine|August 6, 2021
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A reviewAfshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine|September 15, 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future worksAfshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine|May 15, 2022
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future worksDelaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Results in Physics|July 5, 2021
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methodsNooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, et al.
Computers in Biology and Medicine|April 7, 2023
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery diseaseFahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, et al.
Computers in Biology and Medicine|November 5, 2021
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A reviewMarjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Scientific Reports|July 29, 2021
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patientsFahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Frontiers in Molecular Neuroscience|October 21, 2022
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A reviewParisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Annals of Operations Research|March 29, 2021
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Contrast Media & Molecular Imaging|July 14, 2022
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining WeightsSeyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, et al.
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