OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of X-Ray Science and Technology is 10. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features	25
Classification by a stacking model using CNN features for COVID-19 infection diagnosis	21
Analysis of segmentation of lung parenchyma based on deep learning methods	19
Screening of COVID-19 based on the extracted radiomics features from chest CT images	17
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader	16
Automated vessel segmentation in lung CT and CTA images via deep neural networks	12
Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison	11
Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features	11
Predicting breast cancer response to neoadjuvant chemotherapy using ensemble deep transfer learning based on CT images	11
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection	10
DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems1	10
Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings	10
Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma	10
Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs	10