17 citations · 25 across the 4 of their papers we have counts for
4 papers
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…
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…
Comparison of the x-ray tube spectrum measurement using BGO, NaI, LYSO, and HPGe detectors in a preclinical mini-CT scanner: Monte Carlo simulation and practical experiment
Vahid Lohrabian, Alireza Kamali-Asl, Hossein Ghadiri Harvani +2
The aim of this study is to estimate the intrinsic efficiency and energy resolution of different types of solid-state gamma-ray detectors in order to generate a precise dual-energy…