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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Subject Engineering, Biomedical, Radiology, Nuclear Medicine & Medical Imaging
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

MedFusionNet: A hybrid transformer-based multimodal deep learning framework for chronic disease prediction in women’s health

Sonam Juneja, Bhoopesh Singh Bhati

10.1016/j.compmedimag.2026.102795
View Publication

A lightweight network for segmenting tree-like structures in medical images

Irfan Dwiki Bhaswara, Sonit Singh, Arcot Sowmya, Erik Meijering

10.1016/j.compmedimag.2026.102796
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Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study

Domenico Paolo, Paolo Soda, Matteo Tortora, Alessandro Bria, Rosa Sicilia

10.1016/j.compmedimag.2026.102794
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Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation

Kyuri Kim, Hyungjoo Cho, Yoonho Na, Jimin Lee, Sung-Joon Ye

10.1016/j.compmedimag.2026.102793
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RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT

Xiang Li, Fengyuan Wang, Saurabh Bagchi, John Julius Volpi, Timea Hodics, Stephen T.C. Wong, Kelvin Wong

10.1016/j.compmedimag.2026.102792
View Publication

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

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