Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach. - Hossein Arabi; Habib Zaidi (Medical Image Anal., 2016)

Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI. - Abolfazl Mehranian; Hossein Arabi; Habib Zaidi (NeuroImage, 2016)

Modeling of steady state hot flow behavior of API-X70 microalloyed steel using genetic algorithm and design of experiments. - H. Abarghooei; Hossein Arabi; S. H. Seyedein; Bahman Mirzakhani (Appl. Soft Comput., 2017)

Comparison of atlas-based techniques for whole-body bone segmentation. - Hossein Arabi; Habib Zaidi (Medical Image Anal., 2017)

Personalized Hybrid Book Recommender. - Hossein Arabi; Vimala Balakrishnan (Int. J. Inf. Syst. Serv. Sect., 2019)

Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data. - Hossein Arabi; Habib Zaidi (Medical Image Anal., 2020)

Personalized brachytherapy dose reconstruction using deep learning. - Azadeh Akhavanallaf; Reza Mohammadi; Isaac Shiri; Yazdan Salimi; Hossein Arabi; Habib Zaidi (Comput. Biol. Medicine, 2021)

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. - Zahra Khodabakhshi; Shayan Mostafaei; Hossein Arabi; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (Comput. Biol. Medicine, 2021)

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; Mohammad Abdollahi; Yazdan Salimi; Bardia Khosravi; Dariush Askari; Leila Aghaghazvini; Ghasem Hajianfar; Amir Kasaeian; Hamid Abdollahi; et al. (Comput. Biol. Medicine, 2021)

Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients. - Faeze Gholamiankhah; Samaneh Mostafapour; Nouraddin Abdi Goushbolagh; Seyedjafar Shojaerazavi; Parvaneh Layegh; Seyyed Mohammad Tabatabaei; Hossein Arabi (CoRR, 2021)

DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. - Amirhossein Sanaat; Hossein Shooli; Sohrab Ferdowsi; Isaac Shiri; Hossein Arabi; Habib Zaidi (NeuroImage, 2021)

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. - Isaac Shiri; Mehdi Amini; Mostafa Nazari; Ghasem Hajianfar; Atlas Haddadi Avval; Hamid Abdollahi; Mehrdad Oveisi; Hossein Arabi; Arman Rahmim; Habib Zaidi (Comput. Biol. Medicine, 2022)

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. - Isaac Shiri; Yazdan Salimi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Shayan Mostafaei; Azadeh Akhavanallaf; Abdollah Saberi; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Comput. Biol. Medicine, 2022)

Does prior knowledge in the form of multiple low-dose PET images (at different dose levels) improve standard-dose PET prediction? - Behnoush Sanaei; Reza Faghihi; Hossein Arabi (CoRR, 2022)

A novel unsupervised covid lung lesion segmentation based on the lung tissue identification. - Faeze Gholamiankhah; Samaneh Mostafapour; Seyedjafar Shojaerazavi; Nouraddin Abdi Goushbolagh; Hossein Arabi (CoRR, 2022)

A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging. - Reza Karimzadeh; Emad Fatemizadeh; Hossein Arabi (CoRR, 2022)

Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network. - Farzaneh Dehghani; Alireza Karimian; Hossein Arabi (CoRR, 2022)

COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. - Isaac Shiri; Hossein Arabi; Yazdan Salimi; Amirhossein Sanaat; Azadeh Akhavanallaf; Ghasem Hajianfar; Dariush Askari; Shakiba Moradi; Zahra Mansouri; Masoumeh Pakbin; Saleh Sandoughdaran; Hamid Abdollahi; et al. (Int. J. Imaging Syst. Technol., 2022)

Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging. - Samaneh Mostafapour; Faeze Gholamiankhah; Sirwan Maroufpour; Mehdi Momennezhad; Mohsen Asadinezhad; Seyed Rasoul Zakavi; Hossein Arabi; Habib Zaidi (J. Comput. Des. Eng., 2022)

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. - Amirhossein Sanaat; Isaac Shiri; Sohrab Ferdowsi; Hossein Arabi; Habib Zaidi (J. Digit. Imaging, 2022)

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. - Mohammad Salehi; Alireza Vafaei Sadr; Seied Rabi Mahdavi; Hossein Arabi; Isaac Shiri; Reza Reiazi (J. Digit. Imaging, 2023)

Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images. - Behnoush Sanaei; Reza Faghihi; Hossein Arabi (J. Digit. Imaging, 2023)

NSGA-II-DL: Metaheuristic Optimal Feature Selection With Deep Learning Framework for HER2 Classification in Breast Cancer. - Tarik Ahmed Rashid; Jafar Majidpour; Rajermani Thinakaran; Malathy Batumalay; Deshinta Arrova Dewi; Bryar Ahmad Hassan; Habibollah Dadgar; Hossein Arabi (IEEE Access, 2024)

Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision. - Hossein Arabi; Habib Zaidi (Biomed. Signal Process. Control., 2024)

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. - 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; et al. (Int. J. Imaging Syst. Technol., 2024)

Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels. - Mohammad Saber Azimi; Vahid Felfelian; Navid Zeraatkar; Habibollah Dadgar; Hossein Arabi; Habib Zaidi (Comput. Biol. Medicine, 2025)

Direct parametric reconstruction in dynamic PET using deep image prior and a novel parameter magnification strategy. - Xiaotong Hong; Fanghu Wang; Hao Sun; Hossein Arabi; Lijun Lu (Comput. Biol. Medicine, 2025)

Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence. - Sahar Rezaei; Farzan Asadirad; Alireza Motamedi; Mohammadsadegh Kamran; Farzaneh Parsa; Haniyeh Samimi; Parna Ghannadikhosh; Mahdi Zahmatyar; Seyed Ali Hosseinzadeh; Hossein Arabi (NeuroImage, 2025)

Optimizing auditory brainstem response detection through NSGA-II guided feature selection. - Jafar Majidpour; Hiwa Hassanzadeh; Edris Khezri; Hossein Arabi (Neural Comput. Appl., 2025)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography. - Peyman Sharifian; Xiaotong Hong; Alireza Karimian; Mehdi Amini; Hossein Arabi (CoRR, 2025)