Computerized Medical Imaging and Graphics: Volume 95 to Volume 102
Computerized Medical Imaging and Graphics is a journal dedicated to the exchange of research results and advancements in the field of digital imaging and its application in medicine. The journal aims to disseminate knowledge about algorithmic advances, development, and utilization of digital imaging techniques and affiliated biomedical data for various aspects of healthcare.
The scope of the journal encompasses a wide range of topics, including disease detection, diagnosis, intervention, prevention, and monitoring. It also covers precision medicine, population health, and the integration of digital imaging with other relevant information in the context of digital health. The journal publishes articles on novel computerized imaging and visualization techniques, including artificial intelligence and machine learning, augmented reality for surgical planning and guidance, biomedical data integration and visualization, computer-aided diagnosis, computerized-robotic surgery, image-guided therapy, imaging scanning and reconstruction, mobile and tele-imaging, image-omics, and the integration and modeling of imaging data with other non-imaging datasets.
The medical imaging modalities covered in the journal include magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, nuclear medicine, X-ray, microwave imaging, endoscopy, optical and multi-photon microscopy, video and sensory imaging, and the convergence of biomedical images with other types of data to address disease and health-related issues.
Computerized Medical Imaging and Graphics serves as a platform for the rapid publication of original research papers and review articles in the multidisciplinary field of computerized medical imaging and graphics. The journal is of interest to imaging specialists, computer scientists, electrical, mechanical, and biomedical engineers, medical physicists, clinical informaticians, radiologists, pathologists, surgeons, and other healthcare professionals interested in the latest imaging technologies and their applications in medicine.
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