Hamid Abdollahi

According to our database, Hamid Abdollahi authored at least 12 papers between 2013 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

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

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.

Isaac Shiri, Mehdi Amini, Mostafa Nazari, Ghasem Hajianfar, Atlas Haddadi Avval, Hamid Abdollahi, Mehrdad Oveisi, Hossein Arabi, Arman Rahmim, Habib Zaidi

Comput. Biol. Medicine, 2022

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection.

Elham Avard, Isaac Shiri, Ghasem Hajianfar, Hamid Abdollahi, Kiara Rezaei-Kalantari, Golnaz Houshmand, Kianosh Kasani, Ahmad Bitarafan-rajabi, Mohammad Reza Deevband, Mehrdad Oveisi, Habib Zaidi

Comput. Biol. Medicine, 2022

2021

Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.

Isaac Shiri, Majid Sorouri, Parham Geramifar, Mostafa Nazari, Mohammad Abdollahi, Yazdan Salimi, Bardia Khosravi, Dariush Askari, Leila Aghaghazvini, Ghasem Hajianfar, Amir Kasaeian, Hamid Abdollahi, Hossein Arabi, Arman Rahmim, Amir Reza Radmard, Habib Zaidi

Comput. Biol. Medicine, 2021

2019

Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning.

Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar, Niki Oveisi, Hamid Abdollahi, Mohammad Reza Deevband, Mehrdad Oveisi

CoRR, 2019

Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis.

Ghasem Hajianfar, Isaac Shiri, Hassan Maleki, Niki Oveisi, Abbass Haghparast, Hamid Abdollahi, Mehrdad Oveisi

CoRR, 2019

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.

Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

CoRR, 2019

PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients.

Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

CoRR, 2019

2016

A digitally assisted technique to improve rectifier efficiency in wireless energy harvesting systems.

Kamyar Keikhosravy, Pouya Kamalinejad, David Harkness, Hamid Abdollahi, Shahriar Mirabbasi

Proceedings of the IEEE International Conference on Consumer Electronics, 2016

2013

Implementation of an FPGA-based low-power video processing module for a head-mounted display system.

Assem A. M. Bsoul, Reynald Hoskinson, Milen Ivanov, Shahriar Mirabbasi, Hamid Abdollahi

Proceedings of the IEEE International Conference on Consumer Electronics, 2013