Japanese Journal of Radiology

Papers
(The H4-Index of Japanese Journal of Radiology is 21. 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.)
ArticleCitations
Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple cond114
Fairness of artificial intelligence in healthcare: review and recommendations80
Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-1956
Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction45
Artificial intelligence: a critical review of current applications in pancreatic imaging42
Radiomics in medical imaging: pitfalls and challenges in clinical management38
Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society35
Dual-energy CT: minimal essentials for radiologists33
Subchondral insufficiency fracture of the knee: review of current concepts and radiological differential diagnoses32
Diffusion-weighted image analysis along the perivascular space (DWI–ALPS) for evaluating interstitial fluid status: age dependence in normal subjects30
Developing diagnostic reference levels in Japan28
Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reports27
Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography27
Series of myocardial FDG uptake requiring considerations of myocardial abnormalities in FDG-PET/CT26
Gastrointestinal stromal tumors: a comprehensive radiological review25
Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography25
Congenital anomalies causing hemato/hydrocolpos: imaging findings, treatments, and outcomes24
Convolutional neural network for classifying primary liver cancer based on triple-phase CT and tumor marker information: a pilot study24
Artificial intelligence in lung cancer: current applications and perspectives21
Discrimination of lipoma from atypical lipomatous tumor/well-differentiated liposarcoma using magnetic resonance imaging radiomics combined with machine learning21
Whole-body MRI: detecting bone metastases from prostate cancer21
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