OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of X-Ray Science and Technology is 14. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches	147
Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge	35
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms	33
Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features	25
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 diagnosis	21
Clinical and radiological features of novel coronavirus pneumonia	20
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader	19
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features	19
Breast cancer pathological image classification based on deep learning	17
Analysis of segmentation of lung parenchyma based on deep learning methods	17
Review of CT image reconstruction open source toolkits	16
A review of airport dual energy X-ray baggage inspection techniques: Image enhancement and noise reduction	16
Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning	14
DCU-Net: Multi-scale U-Net for brain tumor segmentation	14
Screening of COVID-19 based on the extracted radiomics features from chest CT images	14