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Abstract: Realistic Collimated X-ray Image Simulation Pipeline
Collimator detection in X-ray systems has long posed a formidable challenge, particularly when information about the detector’s position relative to...
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A Realistic Collimated X-Ray Image Simulation Pipeline
Collimator detection remains a challenging task in X-ray systems with unreliable or non-available information about the detectors position relative...
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X-Ray Imaging Methods
Imaging in X-rays is inherently challenging because X-ray wavelengths are comparable to atomic dimensions (or, equivalently, X-ray photon energies...
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COVID-19 Detection Using Chest X-ray Images
COVID-19 is a respiratory infectious disease discovered in Wuhan, China, which later turned out to be a pandemic disease. The disease is spreading at...
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X-CTCANet: 3D spinal CT reconstruction directly from 2D X-ray images
2D X-ray images are extensively employed for intraoperative navigation and localization owing to their high imaging efficiency, low radiation risk,...
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Recent progress in single crystal perovskite X-ray detectors
Perovskites have attracted extensive attention as radiation detection material due to their long carrier diffusion length and lifetime, high...
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Guidance to Noise Simulation in X-ray Imaging
In medical imaging, noise is an inherent occurring signal corruption, especially for the X-ray imaging where dose exposure to the patient should be...
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Abstract: Is Medical Chest X-ray Data Anonymous?
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to...
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Detecting Chest Diseases with Chest X-Ray Using Convolutional Neural Network
Lung diseases, such as viral pneumonia, lung cancer, and the coronavirus, have caused significant deaths worldwide in the past year. The detection of...
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X-ray Prohibited Items Recognition Based on Improved YOLOv5
Safety inspections play a crucial role in maintaining social stability and protecting the safety of public life and property. The X-ray security...
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Classifying Humerus Fracture Using X-Ray Images
Bone is the most important part of our body which holds the whole structure of human body. The long bone situated in the upper arm of human body...
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Detection of Landmarks in X-Ray Images Through Deep Learning
This paper presents a study on the automated detection of landmarks in medical x-ray images using deep learning techniques. In this work we developed...
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An Artificial Intelligence-Driven Deep Learning Model for Chest X-ray Image Segmentation
Artificial Intelligence and CAD systems are becoming highly popular in medical diagnosis. The application of AI and deep learning in radiology is...
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Teeth Disease Recognition Based on X-ray Images
Teeth caries or lesions have a huge impact on people health. Hence, the early diagnosis of these diseases plays an important role of the healthcare...
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X-ray Computed Tomography Reconstruction Algorithm for Refractive Index Gradient
The aim of this research is to reconstruct the 3D X-ray refractive index gradient maps by the proposed vector Radon transform and its inverse,...
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X-ray image-based pneumonia detection and classification using deep learning
Pneumonia is a dangerous lung disease that has affected millions of people worldwide. Several people have died as a result of incorrect pneumonia...
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Coronary Artery Blockage Detection by Automated Segmentation of Vessels in X-Ray Angiograms
Coronary heart disease leading up to stenosis, the partial or total blocking of coronary arteries, is the leading cause of death worldwide....
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HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images
We propose a method to address the challenge of generating a 3D digital twin of a patient during an X-ray guided medical procedure from a single 2D...
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Welding Defect Detection Using X-Ray Images Based on Deep Segmentation Network
Automated detection of welding defects in X-ray images is critical for ensuring the quality of welded structures. However, accurately locating...
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COVID-19 classification in X-ray/CT images using pretrained deep learning schemes
Computer-aided diagnosis (CAD) techniques, exemplified by chest x-ray (CXR)-based methods, offer a cost-effective alternative for early-stage...
