Computerized Medical Imaging and Graphics: Volume 79 to Volume 86

Computerized Medical Imaging and Graphics is a journal that serves as a platform for the exchange of research results in the field of digital imaging and biomedical data analysis as applied to disease detection, diagnosis, intervention, prevention, and monitoring. The journal focuses on algorithmic advances, development, and application of computerized imaging techniques and visualization methods, 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 integration of imaging with other relevant information in the digital health domain.

The scope of the journal encompasses various medical imaging modalities such as magnetic resonance, computed tomography, ultrasound, nuclear medicine, X-ray, microwave, endoscopy, optical and multi-photon microscopy, video and sensory imaging. The journal also explores the convergence of biomedical images with non-imaging datasets, including video, audio, and genomic data, to address disease and health-related issues.

Computerized Medical Imaging and Graphics provides 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 professionals and researchers in imaging specialties, computer science, electrical, mechanical, and biomedical engineering, medical physics, clinical informatics, radiology, pathology, surgery, and other physicians and internists interested in the advancements and applications of novel imaging technologies in medicine.

By facilitating the dissemination of cutting-edge research and promoting interdisciplinary collaboration, Computerized Medical Imaging and Graphics aims to advance the field of computerized medical imaging and contribute to the development of innovative imaging techniques and their application in clinical practice.

Volume 79: January 2020

Volume 80: March 2020

Volume 81: April 2020

Volume 82: June 2020

Volume 83: July 2020

Volume 84: September 2020

Volume 85: October 2020

Volume 86: December 2020