CM

Computerized Medical Imaging and Graphics

Computerized Medical Imaging and Graphics publishes research on computational and visualization challenges in medical imaging, including machine learning, computer vision, foundation models, generative AI, simulation, medical robotics, agentic AI, virtual and augmented reality, and quantum computing. The journal emphasizes algorithmic advances, novel methodologies, and clinically oriented applications for disease screening, diagnosis, therapeutic intervention, prevention, monitoring, telemedicine, and precision medicine across modalities such as MRI, CT, ultrasound, nuclear medicine, X-ray, endoscopy, digital pathology, microscopy, spatial omics, video, and sensory imaging.

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Impact Factor 4.9
Quartile Q2
Open Access Type Hybrid
ISSN 0895-6111
eISSN 1879-0771
Invitation Only No
Cost Range USD 3190 APC for open access; no open access publication fee for subscription publication.

Submission Instructions

Computerized Medical Imaging and Graphics accepts the following article types. Click on an article type to view submission instructions.

Research Articles

Cover Letter Cover Letter requirements are not specified.
Abstract A concise, factual abstract is required. Abstract must not exceed 250 words.
Manuscript Article should be divided into clearly defined and numbered sections. Manuscript must include 1 to 7 English keywords, separate highlights of 3 to 5 bullet points, and an AI declaration section before the references if generative AI was used in manuscript preparation.
References Reference list must be arranged alphabetically and then chronologically if necessary, with same-year works by the same author distinguished by a, b, c, etc.
Figures & Tables Tables must be placed next to the relevant text or on separate pages at the end of the article, while figures must be supplied as separate files along with the manuscript. Tables must be editable text rather than images and both tables and figures must be cited in the text, numbered consecutively, and provided with captions.
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Recent Publications

LDPM-v2: Towards undersampled MRI reconstruction with multimodal one-step latent diffusion prior

Jingwei Guan, Xingjian Tang, Linge Li, Yanlin Wu, Kai Tong, Junjie Wu, Li Yan, Xingyu Zeng

10.1016/j.compmedimag.2026.102818
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End-to-end framework integrating generative AI and deep reinforcement learning for autonomous ultrasound scanning

Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri, Antonela Mariel Zanuttini, Ahmed Alagha, Hani Sami, Jamal Bentahar, Lyes Kadem, Wen-Fang Xie, Philippe Pibarot, Rabeb Mizouni, Hadi Otrok, Azzam Mourad, Sami Muhaidat

10.1016/j.compmedimag.2026.102819
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DARTS-Searched Feedback-Augmented State Space Model for 3D Pulmonary Nodule Classification

JunJie Cui, Yu Gu, Mansheng Wang, Meng Chen, Lidong Yang, Baohua Zhang, Jianjun Li, Xin Liu, Juan Hao, Siyuan Tang, Qun He

10.1016/j.compmedimag.2026.102820
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TeF-SAM: Prototype memory for medical lesion segmentation with text-free inference

Jinxin Liang, Xiaoming Liu, Zhiyuan Zang, Xin Wang, Yicheng Qi, Xiang Li

10.1016/j.compmedimag.2026.102816
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FoME: A foundation model for EEG using adaptive temporal-lateral attention scaling

Enze Shi, Kui Zhao, Qilong Yuan, Huawen Hu, Jiaqi Wang, Sigang Yu, Geng Chen, Dingwen Zhang, Yixuan Yuan, Yanning Zhang, Shu Zhang

10.1016/j.compmedimag.2026.102817
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Frequently asked questions

How long does it take to publish?

3 days from submission to first decision; 70 days from submission to decision after review; 145 days from submission to acceptance; 10 days from acceptance to online publication.

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What are the publication costs?

Open access APC: USD 3190 excluding taxes. Subscription publication has no open access publication fee.

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Research Topics

Medical Image Segmentation Techniques Medical Imaging Techniques and Applications AI in cancer detection Advanced MRI Techniques and Applications Radiomics and Machine Learning in Medical Imaging Advanced X-ray and CT Imaging Diverse Scientific and Economic Studies Medical Imaging and Analysis Human auditory perception and evaluation Advanced Neural Network Applications Retinal Imaging and Analysis Educational Robotics and Engineering Brain Tumor Detection and Classification Image Retrieval and Classification Techniques Advanced Neuroimaging Techniques and Applications MRI in cancer diagnosis Cell Image Analysis Techniques Cardiac Imaging and Diagnostics Computer Graphics and Visualization Techniques COVID-19 diagnosis using AI Digital Imaging for Blood Diseases 3D Shape Modeling and Analysis Cerebrovascular and Carotid Artery Diseases Lung Cancer Diagnosis and Treatment Digital Radiography and Breast Imaging