Hossein Arabi

Orcid: 0000-0003-3110-4198

According to our database1, Hossein Arabi authored at least 24 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

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

Personalized brachytherapy dose reconstruction using deep learning.
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
Personalized Hybrid Book Recommender.
Int. J. Inf. Syst. Serv. Sect., 2019

2017
Comparison of atlas-based techniques for whole-body bone segmentation.
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


  Loading...