Current Medical Imaging

Papers
(The H4-Index of Current Medical Imaging is 16. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
An Innovative Metal Artifact Reduction Algorithm based on Res-U-Net GANs64
Correlation between Spectral CT Parameters and Ki67 Expression in Hepatocellular Carcinoma54
Arterial Stiffness Assessment in Healthy Participants Using Shear Wave Elastography40
Preoperative US Integrated Random Forest Model for Predicting Delphian Lymph Node Metastasis in Patients with Papillary Thyroid Cancer37
A Case of Intracranial Space-occupying Lesion Caused by Infection of AIDS-associated Talaromyces Marnefei31
Intramedullary Well-differentiated Osteosarcoma: Imaging and Pathologic Findings in 17 Patients30
Study Hotspot and Trend in the Field of Shear Wave Elastography: A Bibliometric Analysis from 2004 to 202426
Impact of CT-Relevant Skeletal Muscle Parameters on Post-Chemotherapy Survival in Patients with Unresectable Pancreatic Ductal Adenocarcinoma24
Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review24
Primary Cardiac Angiosarcoma Diagnosed by Multimodality Imaging: A Case Report : Multimodality Imaging of Cardiac Angiosarcoma20
Study on the Crush Injury Model of the Sciatic Nerve in Rabbits by Conventional Ultrasound and Elastography20
Clinical Value of COVID-19 Chest Radiography and High-Resolution CT Examination18
A Segmentation Method of Serialized Human Body Slices based on Matting Strategy and Skeleton Extraction17
FDG PET/CT Volume-Based Quantitative Data and Survival Analysis in Breast Cancer Patients: A Systematic Review of the Literature17
Effect of Breath Training on Image Quality of Chest Magnetic Resonance Free-breathing Sequence16
Multiple Parotid Sebaceous Lymphadenoma: A Case Report and Review of the Literature16
A Comprehensive Review of the Recent Advancements in Imaging Segmentation and Registration Techniques for Glioblastoma and Focusing on the Utilization of Magnetic Resonance Imaging (MRI) and Computed 16
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