OOIR: Observatory of International Research

Papers

(The H4-Index of BMC Medical Imaging is 30. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques	647
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma	130
Threshold estimation based on local minima for nucleus and cytoplasm segmentation	120
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults	84
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images	75
3DSN-net: dual-tandem attention mechanism interaction network for breast tumor classification	67
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation	67
Multiparametric MRI assessment of acute neuroinflammation in a murine model of peripheral LPS stimulation	65
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning	65
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review	63
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features	51
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium	46
Reducing radiomics errors in nasopharyngeal cancer via deep learning-based synthetic CT generation from CBCT	44
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation	44
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training	43
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy	41
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions	41
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses	38
Segmentation for mammography classification utilizing deep convolutional neural network	37
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study	37
A systematic literature review: exploring the challenges of ensemble model for medical imaging	36
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 o	35
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer	34
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs	34
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma	34

The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma	32
Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study	31
Assessment of muscle fiber types transformation in rats with discogenic low back pain using diffusion tensor image of paraspinal muscles	31
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer	31
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients	31