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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

Computerized Medical Imaging and Graphics is the official journal of the Computerized Medical Imaging Society. This journal focuses on the advancements and applications of computerized medical imaging techniques, including but not limited to, radiology, ultrasound, magnetic resonance imaging (MRI), and computed tomography (CT). It publishes research articles, reviews, and case studies that contribute to the understanding and development of computerized medical imaging and graphics in healthcare.

Details
Abbr. Comput Med Imaging Graph
Start 1988
End Continuing
Frequency Bimonthly
p-ISSN 0895-6111
e-ISSN 1879-0771
Country United States
Language English
Specialty Radiology
Metrics
h-index / Ranks: 3490 93
SJR / Ranks: 2054 1459
CiteScore / Ranks: 884 12.40
JIF / Ranks: 1231 5.7
Recent Articles
1.
Liu J, Bhadra S, Shafaat O, Mukherjee P, Parnell C, Summers R
Comput Med Imaging Graph . 2025 Mar; 122:102517. PMID: 40088573
Medical image segmentation is important for quantitative disease diagnosis and treatment but relies on accurate pixel-wise labels, which are costly, time-consuming, and require domain expertise. This work introduces MIST (MIxed...
2.
Wang W, Jin Z, Liu X, Chen X
Comput Med Imaging Graph . 2025 Mar; 122:102524. PMID: 40088572
Artificial intelligence (AI) has shown great promise in analyzing nasal endoscopic images for disease detection. However, current AI systems require extensive expert-labeled data for each specific medical condition, limiting their...
3.
Chen M, Wang S, Liang K, Chen X, Xu Z, Zhao C, et al.
Comput Med Imaging Graph . 2025 Mar; 122:102513. PMID: 40081144
Background And Objective: Coronary artery disease (CAD), the leading cause of mortality, is caused by atherosclerotic plaque buildup in the arteries. The gold standard for the diagnosis of CAD is...
4.
Lei J, Dai L, Jiang H, Wu C, Zhang X, Zhang Y, et al.
Comput Med Imaging Graph . 2025 Mar; 122:102516. PMID: 40073706
Magnetic Resonance Imaging (MRI) has become a pivotal tool in diagnosing brain diseases, with a wide array of computer-aided artificial intelligence methods being proposed to enhance diagnostic accuracy. However, early...
5.
Lal-Trehan Estrada U, Sheth S, Oliver A, Llado X, Giancardo L
Comput Med Imaging Graph . 2025 Mar; 122:102518. PMID: 40068388
We propose learnable 3D pooling (L3P), a CNN module designed to compress 3D information into 2D feature maps using anisotropic convolutions and unidirectional max pooling. Specifically, we used L3P followed...
6.
Irfan M, Haq I, Malik K, Muhammad K
Comput Med Imaging Graph . 2025 Mar; 122:102507. PMID: 40049026
Generalizability is one of the biggest challenges hindering the advancement of medical sensing technologies across multiple imaging modalities. This issue is further impaired when the imaging data is limited in...
7.
Zhao Z, Li W, Ding X, Sun J, Xu L
Comput Med Imaging Graph . 2025 Feb; 122:102514. PMID: 40020507
Accurate segmentation of hepatic vessels is pivotal for guiding preoperative planning in ablation surgery utilizing CT images. While non-contrast CT images often lack observable vessels, we focus on segmenting hepatic...
8.
Zhao H, Zhu W, Jin L, Xiong Y, Deng X, Li Y, et al.
Comput Med Imaging Graph . 2025 Feb; 122:102515. PMID: 40020506
Calcium blooming artifact produced by calcified plaque in coronary computed tomography angiography (CCTA) is a significant contributor to false-positive results for radiologists. Most previous research focused on general noise reduction...
9.
Yuan Y, Ahn E, Feng D, Khadra M, Kim J
Comput Med Imaging Graph . 2025 Feb; 122:102510. PMID: 40010011
Bi-parametric magnetic resonance imaging (bpMRI) has become a pivotal modality in the detection and diagnosis of clinically significant prostate cancer (csPCa). Developing AI-based systems to identify csPCa using bpMRI can...
10.
da Costa Nascimento J, Marques A, do Nascimento Souza L, de Mattos Dourado Junior C, da Silva Barros A, de Albuquerque V, et al.
Comput Med Imaging Graph . 2025 Feb; 121:102498. PMID: 39985841
Brain tumors are a disease that kills thousands of people worldwide each year. Early identification through diagnosis is essential for monitoring and treating patients. The proposed study brings a new...