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Ghasem Hajianfar
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2020 – today
- 2024
- [j10]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
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. Int. J. Imaging Syst. Technol. 34(2) (2024) - [j9]Ghasem Hajianfar, Seyyed Ali Hosseini, Sara Bagherieh, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi
Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study. Medical Biol. Eng. Comput. 62(8): 2319-2332 (2024) - [i5]Maziar Sabouri, Shadab Ahamed, Azin Asadzadeh, Atlas Haddadi Avval, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Ali Rasouli, Atena Aghaee, Mohaddese Sehati, Fereshteh Yousefirizi, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim:
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. CoRR abs/2407.10336 (2024) - 2023
- [j8]Maziar Sabouri
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. J. Digit. Imaging 36(2): 497-509 (2023) - [j7]Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, Mozhgan Parsaee, Golnaz Houshmand
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms. J. Digit. Imaging 36(6): 2494-2506 (2023) - 2022
- [j6]Elham Avard, Isaac Shiri
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. Comput. Biol. Medicine 141: 105145 (2022) - [j5]Isaac Shiri
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. Comput. Biol. Medicine 142: 105230 (2022) - [j4]Isaac Shiri
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. Comput. Biol. Medicine 145: 105467 (2022) - [j3]Isaac Shiri
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. Int. J. Imaging Syst. Technol. 32(1): 12-25 (2022) - [c5]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Ensiyeh Modiri, Azizeh Akbari
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c4]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. Computer-Aided Diagnosis 2022 - [c3]Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim:
Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 230-239 - [c2]Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour:
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Image Processing 2022 - 2021
- [j2]Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. Comput. Biol. Medicine 129: 104142 (2021) - [j1]Isaac Shiri
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. Comput. Biol. Medicine 132: 104304 (2021) - [c1]Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Ghaemi
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 202-210
2010 – 2019
- 2019
- [i4]Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. CoRR abs/1906.06623 (2019) - [i3]Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. CoRR abs/1907.02121 (2019) - [i2]Ghasem Hajianfar, Isaac Shiri, Hassan Maleki, Niki Oveisi, Abbass Haghparast, Hamid Abdollahi, Mehrdad Oveisi:
Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis. CoRR abs/1907.03495 (2019) - [i1]Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar, Niki Oveisi, Hamid Abdollahi, Mohammad Reza Deevband, Mehrdad Oveisi:
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning. CoRR abs/1909.12286 (2019)
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