Journal of X-Ray Science and Technology

Papers
(The TQCC of Journal of X-Ray Science and Technology is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches142
Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge35
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms31
Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features24
Clinical and computed tomographic (CT) images characteristics in the patients with COVID-19 infection: What should radiologists need to know?22
Classification by a stacking model using CNN features for COVID-19 infection diagnosis20
Clinical and radiological features of novel coronavirus pneumonia19
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader18
Review of CT image reconstruction open source toolkits16
Analysis of segmentation of lung parenchyma based on deep learning methods16
A review of airport dual energy X-ray baggage inspection techniques: Image enhancement and noise reduction15
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features15
Breast cancer pathological image classification based on deep learning15
DCU-Net: Multi-scale U-Net for brain tumor segmentation14
Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning14
Screening of COVID-19 based on the extracted radiomics features from chest CT images13
Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey13
Predicting breast cancer response to neoadjuvant chemotherapy using ensemble deep transfer learning based on CT images11
Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison11
Changes of the upper airway and bone in microimplant-assisted rapid palatal expansion: A cone-beam computed tomography (CBCT) study10
Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features10
Automated vessel segmentation in lung CT and CTA images via deep neural networks10
Differentiating pneumonia with and without COVID-19 using chest CT images: from qualitative to quantitative10
Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma10
A reference architecture for plausible Threat Image Projection (TIP) within 3D X-ray computed tomography volumes9
Automatic segmentation of medical images using a novel Harris Hawk optimization method and an active contour model9
Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation9
Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs9
Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections9
An effective sinogram inpainting for complementary limited-angle dual-energy computed tomography imaging using generative adversarial networks8
Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN8
A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm7
Predicting fringe visibility in dual-phase grating interferometry with polychromatic X-ray sources7
DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems17
Segmentation of corpus callosum based on tensor fuzzy clustering algorithm7
Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings7
Dynamic CT assessment of disease change and prognosis of patients with moderate COVID-19 pneumonia7
Automatic detection of the meningioma tumor firmness in MRI images7
Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors6
An enhanced OCT image captioning system to assist ophthalmologists in detecting and classifying eye diseases6
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection6
Leukemia classification using the deep learning method of CNN6
Dual residual convolutional neural network (DRCNN) for low-dose CT imaging6
Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer6
Dosimetric evaluation of PASSAG-U polymer gel dosimeter: Dependence of dose rate and photon energy6
Automated location of thyroid nodules in ultrasound images with improved YOLOV3 network6
Fusion of 3-D medical image gradient domain based on detail-driven and directional structure tensor5
Combining ultrasonography and mammography to improve diagnostic accuracy of plasma cell mastitis5
Dual-energy CT imaging over non-overlapping, orthogonal arcs of limited-angular ranges5
Automated detection of diabetic retinopathy using custom convolutional neural network5
Preoperative prediction of histologic grade in invasive breast cancer by using contrast-enhanced spectral mammography-based radiomics5
Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images5
A blind medical image denoising method with noise generation network5
Fully-automatic segmentation of coronary artery using growing algorithm5
A radiomics signature to identify malignant and benign liver tumors on plain CT images5
High penetration X-ray communication under physical shielding5
Development of a computational tool for estimating computed tomography dose parameters5
Deformable registration and region-of-interest image reconstruction in sparse repeat CT scanning5
Deep learning supported disease detection with multi-modality image fusion5
Prognostic value of CT radiomics in evaluating lymphovascular invasion in rectal cancer: Diagnostic performance based on different volumes of interest5
Applying an adaptive Otsu-based initialization algorithm to optimize active contour models for skin lesion segmentation5
Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network5
Comparison of central, peripheral, and weighted size-specific dose in CT5
UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients5
Multi-exposure X-ray image fusion quality evaluation based on CSF and gradient amplitude similarity5
Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images4
Classification of lung nodules based on the DCA-Xception network4
A TV-minimization image-reconstruction algorithm without system matrix4
Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography4
Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports4
Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features4
Optically transparent glass modified with metal oxides for X-rays and gamma rays shielding material4
Influence of heart rate and coronary artery calcification on image quality and diagnostic performance of coronary CT angiography: comparison between 96-row detector dual source CT and 256-row multidet4
Higher agreement in endovascular treatment decision-making than in parametric quantifications among automated CT perfusion software packages in acute ischemic stroke4
Pulsed X-ray source with the pulse duration of 50 ns and the peak power of 70 MW for capturing moving objects4
The clinical study of en bloc transurethral resection with 980 nm laser for treatment of primary non-muscle invasive bladder cancer4
A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age4
Low-dose CT reconstruction method based on prior information of normal-dose image4
Radiomics analysis of multicenter CT images for discriminating mucinous adenocarcinoma from nomucinous adenocarcinoma in rectal cancer and comparison with conventional CT values4
U-Net: A valuable encoder-decoder architecture for liver tumors segmentation in CT images4
Total variation combining nonlocal means filtration for image reconstruction in X-ray computed tomography3
Challenges in the diagnosis of testicular infarction in the presence of prolonged epididymitis: Three cases report and literature review3
Enhanced computed tomography radiomics-based machine-learning methods for predicting the Fuhrman grades of renal clear cell carcinoma3
Comparison of the clinical effectiveness of ultrasound-guided corticosteroid injection with and without needle release of the A1 pulley in treating trigger finger3
Artifact-Assisted multi-level and multi-scale feature fusion attention network for low-dose CT denoising3
Skin dose measurement and estimating the dosimetric effect of applicator misplacement in gynecological brachytherapy: A patient and phantom study3
Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array3
Ultra-limited-angle CT image reconstruction algorithm based on reweighting and edge-preserving3
Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network3
A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen3
Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm3
Lung cancer histopathological image classification using wavelets and AlexNet3
A preconditioned landweber iteration scheme for the limited-angle image reconstruction3
A metal artifact reduction scheme in CT by a Poisson fusion sinogram based postprocessing method3
Anisotropic structure property based image reconstruction method for limited-angle computed tomography3
Effect of iterative reconstruction algorithm levels on noise index and figure-of-merit in CT pulmonary angiography examinations3
Association between magnetic resonance imaging of carotid artery and coronary stenosis detected by computed tomography angiography3
Low-dose CT noise reduction based on local total variation and improved wavelet residual CNN3
Spatial resolution improvement of 450 kV computed tomography via vertical subpixel detector shifting3
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