Impact Factor
2.98
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
1.76
274 total citations
h5-index
21
h5 depth signal
Cited share
68.3%
110 of 161
Total citations
274
Citation footprint
Metric signal
1.77
External metric anchor
Self-citation
4.7%
13 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
572
United States
140
India
44
South Korea
34
Japan
33
Citing Fields of Research
Biomedical Physics
352
Computer Vision & Graphics
168
AI & Machine Learning
157
Lung Cancer
86
Brain Imaging
78
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,767
Articles tracked across the journal lifetime
Indexed publication set
161
110 cited publications
Last 12 months
51
4.3 publications/month
Open access share
3.9%
2 OA publications in the last year
Leading citing country
China
572 citing publications
Leading citing field
Biomedical Physics
352 citing publications
Latest tracked publication
15 October 2026
10 recent records available
Coverage & Indexing History
v17n1, 2009-
v17n1, 2009-
Research Focus & Classification
Indexed Subjects
Biomedical Physics
Computer Vision & Graphics
AI & Machine Learning
Lung Cancer
Broad Categories
Radiology
Biomedical Physics
Computer Vision & Graphics
Lung Cancer
Prostate Cancer
Brain Imaging
MeSH Descriptors
Radiation, Ionizing
Technology, Radiologic
X-Rays
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1177/08953996261496780
Open DOI
GFC-Unet: An optimized 3D U-Net-based method for brain tumor segmentation
Accurate brain tumor segmentation is critical for diagnosis and treatment planning. However, U-Net-based models struggle with complex tumor morphologies and fine boundaries. This paper proposes a novel brain tumor segmentation network, t...
02
DOI 10.1177/08953996261492737
Open DOI
Evaluation of radiation dose reduction effect of a foldable attached lead curtain in portable X-ray examinations in the neonatal intensive care unit: A Monte Carlo simulation study
Mobile X-ray examinations in neonatal intensive care units (NICUs) are essential for the critically ill neonates. However, scattered radiation generated during imaging can lead to unnecessary radiation exposure for adjacent neonates and ...
03
DOI 10.1177/08953996261491999
Open DOI
Short-Trajectory artifact-reversal diffusion for CCTA calcium deblooming
Background: Calcium blooming in coronary CT angiography (CCTA) enlarges calcified plaques, obscures the coronary lumen, and complicates stenosis assessment. Objective: To develop an efficient restoration method that suppresses blooming w...
04
DOI 10.1177/08953996261486734
Open DOI
In vitro CT imaging and cellular evaluation of hyaluronic acid-functionalized Bi 2 S 3 @BSA nanoparticles
The development of high-atomic-number (high-Z) nanomaterials as computed tomography (CT) contrast agents has attracted considerable interest because of their strong X-ray attenuation. In this study, hyaluronic acid (HA)-functionalized bi...
05
DOI 10.1177/08953996261484633
Open DOI
CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction
Although low-dose CT can effectively reduce radiation risk, the projections are contaminated by quantum noise, resulting in severe noise and artifacts in the reconstructed image, which in turn compromises the accuracy of clinical diagnos...
06
DOI 10.1177/08953996261475053
Open DOI
LGMUNet: Global-local synergy of Mamba and CNN for dental X-ray segmentation
Background: Panoramic dental X-ray segmentation is critical clinically. However, inherent challenges—low contrast, blurred boundaries, complex root apices, and variable wisdom teeth—hinder pure CNN or Transformer models from effectively ...
07
DOI 10.1177/08953996261481351
Open DOI
A novel WF-Mamba algorithm for eliminating radial edge artifacts in CT images reconstruction
To address the severe radial-edge artifacts and the loss of feature details in CT image reconstruction, this paper proposes a novel WF-Mamba algorithm integrating the Adaptive Wavelet Frequency Interaction Network (AW-net) with the Restr...
08
DOI 10.1177/08953996261481688
Open DOI
PDDUNet: A primal-dual deep unrolling network for CT metal artifact reduction
In computed tomography (CT) imaging, severe artifacts caused by metallic implants within patients degrade image quality and compromise clinical diagnostic accuracy. Currently, deep unrolling-based methods have demonstrated strong capabil...
09
DOI 10.1177/08953996261476606
Open DOI
A dual domain reconstruction network for sparse-view spectral CT integrating SSM and cross attention
Objective: Sparse View Computed Tomography (SVCT) is an effective way to reduce radiation dose. However, missing information of projection leads to noise and artifacts. Current SVCT reconstruction networks cannot effectively utilize the ...
10
DOI 10.1177/08953996261478470
Open DOI
SwinDent-Seg: Hybrid Swin transformer-CNN with cross-scale feature fusion for automated detection and segmentation of dental pathologies in panoramic radiographs
Background: Automatic detection and segmentation of dental diseases from panoramic x-ray images have been a difficult task to achieve due to the problems of class imbalance and varying sizes of lesions, as well as the inconspicuous natur...
Bibliographical & Catalog Notes
Title from cover.
Also issued online.