Hossein Arabi
Orcid: 0000-0003-3110-4198
According to our database1,
Hossein Arabi
authored at least 25 papers
between 2016 and 2024.
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Bibliography
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
Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision.
Biomed. Signal Process. Control., 2024
NSGA-II-DL: Metaheuristic Optimal Feature Selection With Deep Learning Framework for HER2 Classification in Breast Cancer.
IEEE Access, 2024
2023
Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images.
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
2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
J. Digit. Imaging, 2022
Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging.
J. Comput. Des. Eng., 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
Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network.
CoRR, 2022
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging.
CoRR, 2022
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification.
CoRR, 2022
Does prior knowledge in the form of multiple low-dose PET images (at different dose levels) improve standard-dose PET prediction?
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
2021
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.
NeuroImage, 2021
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients.
CoRR, 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
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
2020
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
Medical Image Anal., 2020
2019
2017
Medical Image Anal., 2017
Modeling of steady state hot flow behavior of API-X70 microalloyed steel using genetic algorithm and design of experiments.
Appl. Soft Comput., 2017
2016
Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI.
NeuroImage, 2016
Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach.
Medical Image Anal., 2016