Amirhossein Sanaat

According to our database, Amirhossein Sanaat authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.

Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi

Int. J. Imaging Syst. Technol., March, 2024

2023

Image reconstruction using UNET-transformer network for fast and low-dose PET scans.

Sanaz Kaviani, Amirhossein Sanaat, Mersede Mokri, Claire Cohalan, Jean-François Carrier

Comput. Medical Imaging Graph., December, 2023

2022

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.

Amirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, Hossein Arabi, Habib Zaidi

J. Digit. Imaging, 2022

COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images.

Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin, Saleh Sandoughdaran, Hamid Abdollahi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Habib Zaidi

Int. J. Imaging Syst. Technol., 2022

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.

Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Shayan Mostafaei, Azadeh Akhavanallaf, Abdollah Saberi, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi

Comput. Biol. Medicine, 2022

2021

DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.

Amirhossein Sanaat, Hossein Shooli, Sohrab Ferdowsi, Isaac Shiri, Hossein Arabi, Habib Zaidi

NeuroImage, 2021