81 citations
- Centre National de la Recherche ScientifiqueFR5 papers
- Islamic Azad University, TehranIR3 papers
- Jahrom UniversityIR3 papers
- Université de BourgogneFR3 papers
- Urmia University of TechnologyIR3 papers
- Austrian Center for Medical Innovation and TechnologyAT2 papers
- Azarbaijan Shahid Madani UniversityIR2 papers
- Iran's National Elites FoundationIR2 papers
- Islamic Azad University, Azadshahr BranchIR2 papers
- Islamic Azad University of TabrizIR2 papers
- Shahid Beheshti UniversityIR2 papers
- University of Southern QueenslandAU2 papers
61 papers
NeuroForge: Self-Auditing Neural CFD Surrogates with Calibrated Physics-Residual Trust
Ali Jabbary, Kasra Ghanavati
Machine-learning surrogates for computational fluid dynamics (CFD) predict steady flow fields far faster than classical solvers, but emit a single field with no built-in way to kno…
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses
Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi +6
Background: The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound classification refines risk stratification for adnexal lesions, yet human interpret…
Direct Simplified Symbolic Analysis (DSSA) Tool
Mohammad Shokouhifar, Hossein Yazdanjouei, Gerhard-Wilhelm Weber
This paper introduces Direct Simplified Symbolic Analysis (DSSA), a new method for simplifying analog circuits. Unlike traditional matrix- or graph-based techniques that are often…
Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
Zeinab Ghasemi Darehnaei, Mohammad Shokouhifar, Hossein Yazdanjouei +1
This paper introduces SI-EDTL, a two-stage swarm intelligence ensemble deep transfer learning model for detecting multiple vehicles in UAV images. It combines three pre-trained Fas…
Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation
Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan +7
To develop and externally validate integrated ultrasound nomograms combining BIRADS features and quantitative morphometric characteristics, and to compare their performance with ex…
Monitoring variations of refractive index via Hilbert-Schmidt speed and applying this phenomenon to improve quantum metrology
Seyed Mohammad Hosseiny, Hossein Rangani Jahromi, Mahdi Amniat-Talab
Effective nonlinear optical interactions are essential for many applications in modern photonics. In this paper, we investigate the role of the nonlinear response of a material to…