64 citations · 127 across the 14 of their papers we have counts for
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A hierarchical approach for pulmonary nodules identification from CT images using YOLO v5s nodule detection and 3D neural network classifier
Yashar Ahmadyar Razlighi, Alireza Kamali-Asl, Hossein Arabi
In the first step, a pre-trained model (YOLO) was used to detect all suspicious nod-ules. The YOLO model was re-trained using 397 CT images to detect the entire nodule in CT images…
Deep Learning-Based Partial Volume Correction in Standard and Low-Dose PET-CT Imaging
Mohammad-Saber Azimi, Alireza Kamali-Asl, Mohammad-Reza Ay +2
A standard dose of radioactive tracer must be delivered into the patients body to obtain high-quality Positron Emission Tomography (PET) images for diagnostic purposes, which raise…
Design and implementation of brain surgery bipolar electrocautery simulator using haptic technology
Reza Karimzadeh, Javad Sheikh, Hamed Azarnoush +1
Surgical simulators have been widely used in training and evaluation of physicians and surgeons. Virtual reality augmented with haptic technology has made it feasible to develop mo…
Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network
Farzaneh Dehghani, Alireza Karimian, Hossein Arabi
Brain tumor segmentation is highly contributive in diagnosing and treatment planning. The manual brain tumor delineation is a time-consuming and tedious task and varies depending o…
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
Reducing the injected dose would result in quality degradation and loss of information in PET imaging. To address this issue, deep learning methods have been introduced to predict…
Characterization of Fe_3 O_4/Au-Ag@MoS_2 nanoparticles for brain cancer treatment using magneto plasmonic approach
Tina Seyedjamali, Mohamadreza Kazem Farahzadi, Hossein Arabi
This study investigates the treatment of brain cancer by the magnetic hyperthermia approach and nanoparticles including Fe_3 O_4 core with gold, silver alloy shell, and MoS_2 coati…
The impact of MR-guided attenuation correction (compared to CTbased AC) on the diagnosis of anosmia based on 99m-Tc EthylCysteinate-Dimer SPECT images
Faeze Gholamiankhah, Samaneh Mostafapour, Seid Kazem Razavi-Ratki +2
99m-Tc Ethyl-Cysteinate-Dimer SPECT and MR imaging play a significant role in diagnosing anosmia. In this study, two-tissue class and three-tissue class attenuation maps (2C-MR and…
Deep learning-based synthetic CT generation from MR images: comparison of generative adversarial and residual neural networks
Faeze Gholamiankhah, Samaneh Mostafapour, Hossein Arabi
Currently, MRI-only radiotherapy (RT) eliminates some of the concerns about using CT images in RT chains such as the registration of MR images to a separate CT, extra dose delivery…
Monte Carlo-based estimation of patient absorbed dose in 99mTc-DMSA, -MAG3, and -DTPA SPECT imaging using the University of Florida (UF) phantoms
Zeynab Khoshyari-morad, Reza Jahangir, Hashem Miri-Hakimabad +2
SPECT imaging is one of the common modalities used to examine kidney disease. The radiopharmaceuticals such as 99mTc-MAG3, 99mTc-DTPA, and 99mTc-DMSA are commonly employed for pedi…
Quantitative analysis of image quality in low-dose CT imaging for Covid-19 patients
Behrooz Ghane, Alireza Karimian, Samaneh Mostafapour +3
We set out to simulate four reduced dose-levels (60%-dose, 40%-dose, 20%-dose, and 10%-dose) of standard CT imaging using Beer-Lambert's law across 49 patients infected with COVID-…
Dosimetric characterization of a new 192Ir pulse dose rate brachytherapy source with the Monte Carlo simulation and thermoluminescent dosimeter
Vahid Lohrabian, Alireza Kamali-Asl, Hossein Arabi +2
In this study, recommendations of the AAPM TG- 43 (U1) report have been followed to characterize the new 192Ir pulse dose rate source, provided by the Applied Radiation Research Sc…
Deep learning-based attenuation correction in the image domain for myocardial perfusion SPECT imaging
Samaneh Mostafapour, Faeze Gholamiankhah, Sirvan Maroofpour +4
Objective: In this work, we set out to investigate the accuracy of direct attenuation correction (AC) in the image domain for the myocardial perfusion SPECT imaging (MPI-SPECT) usi…
Cardiac SPECT Radiomics Features Repeatability and Reproducibility: A Multi Scanner Phantom Study
Mohammad Edalat-Javid, Isaac Shiri, Ghasem Hajianfar +7
Background: The aim of this study was to assess the robustness of cardiac SPECT radiomics features against changes in imaging settings including acquisition and reconstruction sett…