Isaac Shiri

Orcid: 0000-0002-5735-0736

According to our database1, Isaac Shiri authored at least 31 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
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., August, 2024

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., March, 2024

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation.
J. Biomed. Informatics, 2024

Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images.
CoRR, 2024

2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.
J. Digit. Imaging, December, 2023

Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Comput. Methods Programs Biomed., October, 2023

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study.
J. Digit. Imaging, August, 2023

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer.
J. Digit. Imaging, April, 2023

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition.
J. Digit. Imaging, April, 2023

Multimodality medical image analysis using radiomics and deep learning.
PhD thesis, 2023

2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
J. Digit. Imaging, 2022

Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms.
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.
Int. J. Imaging Syst. Technol., 2022

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.
CoRR, 2022

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, 2022

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, 2022

Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics.
Comput. Biol. Medicine, 2022

Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy.
Comput. Biol. Medicine, 2022

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection.
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.
NeuroImage, 2021

Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information.
J. Digit. Imaging, 2021

Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.
Comput. Biol. Medicine, 2021

Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients.
Comput. Biol. Medicine, 2021

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.
Comput. Biol. Medicine, 2021

Artificial intelligence-driven assessment of radiological images for COVID-19.
Comput. Biol. Medicine, 2021

Personalized brachytherapy dose reconstruction using deep learning.
Comput. Biol. Medicine, 2021

2019
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning.
CoRR, 2019

Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis.
CoRR, 2019

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.
CoRR, 2019

MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography.
CoRR, 2019

PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients.
CoRR, 2019


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