BMC Medical Imaging

Papers
(The H4-Index of BMC Medical Imaging is 28. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors587
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques114
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma111
Threshold estimation based on local minima for nucleus and cytoplasm segmentation82
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images63
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features61
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions60
A systematic literature review: exploring the challenges of ensemble model for medical imaging59
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy59
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses49
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium42
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training41
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation40
Segmentation for mammography classification utilizing deep convolutional neural network39
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning39
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study39
Reducing radiomics errors in nasopharyngeal cancer via deep learning-based synthetic CT generation from CBCT36
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults33
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review33
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status32
A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography o32
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment30
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer29
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis29
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control29
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma28
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines28
CT texture analysis of pediatric teratomas—associations with identification and grading of immature teratoma28
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