Ghasem Hajianfar

According to our database, Ghasem Hajianfar authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, Mozhgan Parsaee, Golnaz Houshmand, Ahmad Bitarafan-rajabi, Habib Zaidi, Isaac Shiri

J. Digit. Imaging, December, 2023

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition.

Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, Mehdi Amini, Mobin Mohebi, Tahereh Ghaedian, Shabnam Madadi, Fereydoon Rastgou, Mehrdad Oveisi, Ahmad Bitarafan-rajabi, Isaac Shiri, Habib Zaidi

J. Digit. Imaging, April, 2023

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

Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer.

Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer.

Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features.

Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra Borazjani, Kasra Mojallal, Dariush Askari, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad M. Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features.

Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Ensiyeh Modiri, Azizeh Akbari, Ghasem Hajianfar, Dariush Askari, Mehdi Fatan, Mehdi Maghsudi, Hanieh Ghaffari, Seyed Masoud Rezaeijo, Mohammad M. Ghaemi, Arman Rahmim

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 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

Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning.

Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Ghasem Hajianfar, Hamid Soltanian-Zadeh, Arman Rahmim

Comput. Biol. Medicine, 2021

Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer.

Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Ghaemi, Arman Rahmim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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