Rahimeh Rouhi
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View article: Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images
Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images Open
Portable ultra-low-field (uLF, i.e., 0.064T) magnetic resonance imaging (MRI) offers a solution to scarce radiological alternatives of resource-limited regions; however, in such regions, MRI system operators and radiologists are novices to…
View article: Head and neck automatic multi-organ segmentation on Dual-Energy Computed Tomography
Head and neck automatic multi-organ segmentation on Dual-Energy Computed Tomography Open
The results indicate that the auto-contouring system cannot generalize to images derived from DECT acquisition. It is therefore crucial to identify which organs benefit from these acquisitions to adapt the training datasets accordingly.
View article: Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer
Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer Open
Our study revealed that segmentation accuracy varies slightly among different DL methods, with 2D networks outperforming 3D networks in 2D MRI sequences. Doctors found the time-saving aspect advantageous. The proposed failure detection cou…
View article: A Brief Overview on Crack Patterns, Repair and Strengthening of Historical Masonry Structures
A Brief Overview on Crack Patterns, Repair and Strengthening of Historical Masonry Structures Open
Given that a significant fraction of buildings and architectural heritage in Europe’s historical centers are masonry structures, the selection of proper diagnosis, technological surveys, non-destructive testing, and interpretations of crac…
View article: An Interpretable Hand-Crafted Feature-Based Model for Atrial Fibrillation Detection
An Interpretable Hand-Crafted Feature-Based Model for Atrial Fibrillation Detection Open
Atrial Fibrillation (AF) is the most common type of cardiac arrhythmia. Early diagnosis of AF helps to improve therapy and prognosis. Machine Learning (ML) has been successfully applied to improve the effectiveness of Computer-Aided Diagno…
View article: No Matter What Images You Share, You Can Probably Be Fingerprinted Anyway
No Matter What Images You Share, You Can Probably Be Fingerprinted Anyway Open
The popularity of social networks (SNs), amplified by the ever-increasing use of smartphones, has intensified online cybercrimes. This trend has accelerated digital forensics through SNs. One of the areas that has received lots of attentio…
View article: Three-Dimensional Numerical Model for Seismic Analysis of Structures
Three-Dimensional Numerical Model for Seismic Analysis of Structures Open
Response Spectrum Analysis (RSA) and modal combination techniques are widely used to estimate the peak response of structures subjected to earthquake vibrations.This paper presents the numerical modeling and seismic analysis of structures.…
View article: Seismic Assessment and Retrofitting of Existing RC Structures: SeismoStruct and SeismoBuild Implementation
Seismic Assessment and Retrofitting of Existing RC Structures: SeismoStruct and SeismoBuild Implementation Open
Many existing structures require seismic retrofitting based on the latest findings and standards.Most of the works presented in the literature have considered the effect of different retrofitting solutions on the seismic behavior of the st…
View article: Classification and Clustering of Shared Images on Social Networks and User Profile Linking
Classification and Clustering of Shared Images on Social Networks and User Profile Linking Open
The ever increasing prevalence of smartphones and the popularity of social network platforms have facilitated instant sharing of multimedia content through social networks. However, the ease in taking and sharing photos and videos through …
View article: Hybrid Clustering of Shared Images on Social Networks for Digital Forensics
Hybrid Clustering of Shared Images on Social Networks for Digital Forensics Open
Clustering the images shared through social network (SN) platforms according to the acquisition cameras embedded in smartphones is regarded as a significant task in forensic investigations of cybercrimes. The sensor pattern noise (SPN) cau…