Isaac Shiri

Overview

Best Publications

• The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.

  Isaac Shiri;Arman Rahmim;Pardis Ghaffarian;Parham Geramifar

  221
  Citations

• The promise of artificial intelligence and deep learning in PET and SPECT imaging.

  Hossein Arabi;Azadeh AkhavanAllaf;Amirhossein Sanaat;Isaac Shiri

  217
  Citations

• MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography

  Shakiba Moradi;Mostafa Ghelich Oghli;Azin Alizadehasl;Isaac Shiri

  151
  Citations

• 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

  136
  Citations

• Radiomics for classification of bone mineral loss: A machine learning study

  S. Rastegar;M. Vaziri;Y. Qasempour;M.R. Akhash

  119
  Citations

• Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer

  Hamid Abdollahi;Bahram Mofid;Isaac Shiri;Isaac Shiri;Abolfazl Razzaghdoust

  116
  Citations

• 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

  105
  Citations

• Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

  Mostafa Nazari;Isaac Shiri;Ghasem Hajianfar;Niki Oveisi

  104
  Citations

• Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients

  Mostafa Nazari;Isaac Shiri;Habib Zaidi;Habib Zaidi

  104
  Citations

• Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: A machine learning and multi-variable modelling study

  Hamid Abdollahi;Shayan Mostafaei;Susan Cheraghi;Isaac Shiri

  98
  Citations

• Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)

  Isaac Shiri;Pardis Ghafarian;Parham Geramifar;Kevin Ho-Yin Leung

  97
  Citations

• Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer.

  Reza Mohammadi;Iman Shokatian;Mohammad Salehi;Hossein Arabi

  96
  Citations

• Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network

  Isaac Shiri;Azadeh Akhavanallaf;Amirhossein Sanaat;Yazdan Salimi

  84
  Citations

• Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature

  Zahra Khodabakhshi;Shayan Mostafaei;Hossein Arabi;Mehrdad Oveisi

  82
  Citations

• Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks

  Isaac Shiri;Kiarash AmirMozafari Sabet;Hossein Arabi;Mozhgan Pourkeshavarz;Mozhgan Pourkeshavarz

  80
  Citations

• CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm

  Shayan Mostafaei;Shayan Mostafaei;Hamid Abdollahi;Shiva Kazempour Dehkordi;Isaac Shiri

  67
  Citations

• Noninvasive O6 Methylguanine-DNA Methyltransferase Status Prediction in Glioblastoma Multiforme Cancer Using Magnetic Resonance Imaging Radiomics Features: Univariate and Multivariate Radiogenomics Analysis

  Ghasem Hajianfar;Isaac Shiri;Hassan Maleki;Niki Oveisi

  66
  Citations

• Artificial intelligence-driven assessment of radiological images for COVID-19.

  Yassine Bouchareb;Pegah Moradi Khaniabadi;Faiza Al Kindi;Humoud Al Dhuhli

  66
  Citations

• Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test─retest and image registration analyses

  Isaac Shiri;Ghasem Hajianfar;Ahmad Sohrabi;Hamid Abdollahi

  65
  Citations

• Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma.

  Mehdi Amini;Mehdi Amini;Mostafa Nazari;Isaac Shiri;Ghasem Hajianfar

  54
  Citations

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

  Isaac Shiri;Hasan Maleki;Hasan Maleki;Ghasem Hajianfar;Hamid Abdollahi;Hamid Abdollahi

  50
  Citations

• 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

  36
  Citations