COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Scope & Guideline

Bridging Technology and Medicine with Visual Precision

Introduction

Immerse yourself in the scholarly insights of COMPUTERIZED MEDICAL IMAGING AND GRAPHICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0895-6111
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1988 to 2024
AbbreviationCOMPUT MED IMAG GRAP / Comput. Med. Imaging Graph.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

The journal 'Computerized Medical Imaging and Graphics' focuses on the intersection of computer science and medical imaging, emphasizing advanced methodologies and technologies to enhance diagnostic and therapeutic practices in healthcare. Its core areas of research include innovative imaging techniques, machine learning applications in medical imaging, and the integration of AI with traditional imaging modalities.
  1. Medical Image Analysis and Interpretation:
    Research on algorithms and techniques for analyzing and interpreting medical images, focusing on improving diagnostic accuracy and efficiency using deep learning and machine learning approaches.
  2. Image Reconstruction Techniques:
    Development of advanced image reconstruction methods, including generative models and convolutional neural networks, to enhance image quality and reduce artifacts in various imaging modalities.
  3. Segmentation Algorithms:
    Innovative segmentation techniques for accurately delineating anatomical structures and pathological regions in medical images, utilizing both supervised and unsupervised learning methods.
  4. Multimodal Imaging Integration:
    Research on integrating data from multiple imaging modalities (e.g., MRI, CT, PET) to provide comprehensive insights into patient health and disease progression.
  5. Radiomics and Predictive Modeling:
    Exploration of radiomics, which involves extracting quantitative features from medical images to predict clinical outcomes and guide treatment decisions.
  6. Uncertainty Quantification and Explainability:
    Investigation into methods for quantifying uncertainty in medical image analysis and enhancing the interpretability of deep learning models.
Recent publications in 'Computerized Medical Imaging and Graphics' reveal several trending and emerging themes that highlight the journal's current research directions and the evolving landscape of medical imaging technology.
  1. Deep Learning Innovations:
    A significant uptick in research employing deep learning architectures for various medical imaging tasks, including segmentation, classification, and image enhancement, reflecting the technology's transformative impact on the field.
  2. Generative Models and Synthesis Techniques:
    Emerging interest in generative models, such as GANs, for synthesizing high-quality medical images from low-quality inputs, demonstrating potential for improving diagnostic capabilities.
  3. Explainable AI in Medical Imaging:
    Increasing focus on developing explainable AI models to enhance the interpretability of machine learning outputs, which is crucial for clinical acceptance and trust in automated systems.
  4. Real-Time and Dynamic Imaging Approaches:
    Growing research on real-time imaging solutions and dynamic analysis methods, particularly in monitoring disease progression and treatment response, showcasing advancements in imaging technologies.
  5. Integration of AI with Traditional Imaging Modalities:
    Trends towards integrating AI techniques with conventional imaging modalities to enhance diagnostic workflows and improve patient outcomes, indicating a shift towards more hybrid approaches.

Declining or Waning

As the field of medical imaging evolves, certain themes have shown a decline in publication frequency or focus within the journal. These waning scopes may reflect shifts in research priorities or advancements in technology rendering older methods less relevant.
  1. Traditional Image Processing Techniques:
    A decreasing emphasis on classical image processing methods (e.g., histogram equalization, basic filtering) as research pivots towards more advanced deep learning approaches that yield better performance.
  2. Manual Annotation Methods:
    A decline in research focused on manual annotation techniques for medical images, as automated and semi-automated methods utilizing AI are increasingly favored for efficiency and accuracy.
  3. Basic Machine Learning Algorithms:
    A waning interest in traditional machine learning algorithms (e.g., SVM, decision trees) in favor of deep learning methods that have demonstrated superior performance in complex medical imaging tasks.

Similar Journals

Imaging

Illuminating Innovations in Imaging Techniques
Publisher: AKADEMIAI KIADO ZRTISSN: Frequency: 2 issues/year

Imaging, published by AKADEMIAI KIADO ZRT, is an esteemed open-access journal dedicated to the field of medical imaging, established in 2020. With an E-ISSN of 2732-0960 and based in Budapest, Hungary, this journal provides a vital platform for the dissemination of cutting-edge research and advancements in imaging techniques, especially in the realms of radiology, nuclear medicine, and ultrasound technology. While currently positioned in the Q4 category across multiple medical specialties, the journal continues to strive for improvements in visibility and impact, contributing to the evolving discourse in medical imaging. The journal aims to facilitate an inclusive and collaborative environment for researchers, professionals, and students, inviting them to share their findings and insights to enhance the field's development. With open-access availability since its inception, Imaging ensures free and easy access to its content, fostering a greater understanding and appreciation of innovative imaging practices worldwide.

VISUAL COMPUTER

Exploring the Intersection of Art and Technology
Publisher: SPRINGERISSN: 0178-2789Frequency: 12 issues/year

VISUAL COMPUTER is a prestigious journal published by Springer, focusing on the dynamic fields of computer graphics, computer-aided design, computer vision, and software. Established in 1985, this interdisciplinary journal serves as a vital platform for sharing innovative research, applications, and developments crucial to the advancement of visual computing technologies. With a notable Q2 ranking in various categories, including Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition, VISUAL COMPUTER demonstrates a solid impact within the academic community, marked by its Scopus rankings that reflect its significant contributions to the field. While the journal does not offer open access, it remains a reliable source of high-quality content for researchers, professionals, and students eager to stay abreast of emerging trends and techniques, ultimately fostering collaboration and knowledge exchange within the rapidly evolving landscape of visual computing.

EUROPEAN JOURNAL OF RADIOLOGY

Bridging Research and Clinical Excellence in Radiology
Publisher: ELSEVIER IRELAND LTDISSN: 0720-048XFrequency: 12 issues/year

The European Journal of Radiology, published by Elsevier Ireland Ltd, is a premier peer-reviewed journal in the fields of radiology, nuclear medicine, and imaging. Established in 1981, it has carved a significant niche within the academic community, showcasing innovative research that enhances medical imaging practices and improves patient care. With an impressive ranking in the Q1 category for both Medicine (miscellaneous) and Radiology, Nuclear Medicine, and Imaging in 2023, the journal is recognized globally for its commitment to advancing scientific knowledge and improving imaging methodologies. The journal's Scopus ranking of #60/333, placing it in the 82nd percentile, underlines its reputation for high-quality research and scholarly contributions. While traditionally a subscription-based journal, it continually evolves to meet the demands of the academic landscape, aiming to bridge the gap between research and clinical practice. Researchers, healthcare professionals, and students alike can benefit from exploring its extensive archives and current publications, which are curated to foster education and innovation in the medical imaging domain.

Magnetic Resonance in Medical Sciences

Transforming Diagnostics Through Innovative Research
Publisher: JPN SOC MAGNETIC RESONANCE MEDICINEISSN: 1347-3182Frequency: 4 issues/year

Magnetic Resonance in Medical Sciences is a leading open-access journal published by the Japanese Society of Magnetic Resonance Medicine, dedicated to advancing the field of medical imaging through high-quality research articles and reviews. With a strong focus on radiology, nuclear medicine, and imaging technologies, this journal serves as a crucial platform for the dissemination of innovative studies, as evidenced by its impressive Scopus ranking of #75 in its category and a commendable 77th percentile standing. Since its inception in 2002 and becoming open access in 2016, it has fostered a collaborative research environment, welcoming contributions from both seasoned experts and emerging scholars alike. The journal's commitment to enhancing diagnostic techniques and patient outcomes makes it an invaluable resource for researchers, healthcare professionals, and students passionate about the transformative potential of magnetic resonance imaging. Located in Tokyo, Japan, Magnetic Resonance in Medical Sciences continues to shape the future of medical imaging through rigorous scholarship and impactful research.

Radiology-Artificial Intelligence

Charting New Territories in Radiology and AI
Publisher: RADIOLOGICAL SOC NORTH AMERICA (RSNA)ISSN: 2638-6100Frequency:

Radiology-Artificial Intelligence is an esteemed journal published by the Radiological Society of North America (RSNA), focusing on the intersection of radiology and artificial intelligence. Since its inception in 2019, this journal has rapidly established itself within the academic community, achieving a remarkable Q1 classification in 2023 across multiple categories, including Artificial Intelligence, Radiological and Ultrasound Technology, and Radiology, Nuclear Medicine and Imaging. With an impressive impact factor reflected by its high Scopus rankings—6th in the realm of Radiology, 3rd in Radiological Technology, and 25th in Computer Science—this journal stands as a crucial platform for groundbreaking research and innovation. Researchers, professionals, and students alike will find this publication an invaluable resource for advancing their understanding of AI applications in radiology, enhancing diagnostic capabilities, and improving patient care. The journal operates on a non-open access model, ensuring high-quality peer-reviewed content. Located in Oak Brook, Illinois, the RSNA continues to lead the field by promoting excellence in the integration of artificial intelligence into medical imaging practices.

International Journal of Image and Graphics

Illuminating the Path to Visual Excellence
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-4678Frequency: 4 issues/year

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.

EJNMMI Physics

Exploring the Intersection of Innovation and Medical Imaging.
Publisher: SPRINGERISSN: 2197-7364Frequency: 1 issue/year

EJNMMI Physics, the premier journal for advancements in nuclear medicine and imaging, is published by Springer in Switzerland and has been an open-access outlet since 2014, allowing for broad dissemination of critical research findings. With an ISSN of 2197-7364, the journal aims to bridge the gap between state-of-the-art physics and practical applications in biomedical engineering and radiology. Its impressive Q1 ranking in multiple categories, including Biomedical Engineering, Instrumentation, Radiation, and Radiology, Nuclear Medicine and Imaging, exemplifies its significant impact in the field. The journal boasts exceptional metrics with Scopus rankings placing it in the top echelons across disciplines, including a 6th position out of 58 in Radiation, and serves as an essential resource for researchers, professionals, and students who are eager to contribute to and stay informed about cutting-edge scientific advancements. With a broadening scope until 2024, EJNMMI Physics is an indispensable tool for those dedicated to pushing the boundaries of knowledge in medical physics and imaging technologies.

JOURNAL OF DIGITAL IMAGING

Advancing the Frontiers of Digital Imaging
Publisher: SPRINGERISSN: 0897-1889Frequency: 6 issues/year

JOURNAL OF DIGITAL IMAGING, published by Springer, is a premier journal dedicated to the field of digital imaging, encompassing significant developments in the intersecting disciplines of radiology, computer science applications, and ultrasound technology. With its impressive Q1 ranking in the categories of Radiology, Nuclear Medicine and Imaging, and Radiological and Ultrasound Technology, and a substantial Q2 ranking in Computer Science Applications, this journal is positioned at the forefront of research dissemination in these vital areas. The ISSN 0897-1889 and E-ISSN 1618-727X signify its broad reach and accessibility, while its Scopus rankings demonstrate its robust impact in the academic community, ranked #41/333 in Radiology and earning a notable 87th percentile status. Since its inception in 1988, the journal has served as a vital resource for researchers and professionals seeking to advance their understanding of digital imaging technologies and their applications. Although it does not currently offer open access options, it continues to foster scholarly dialogue and innovation, making it an indispensable platform for those committed to excellence in imaging science and technology.

International Journal of Biomedical Imaging

Connecting Global Researchers in Biomedical Imaging
Publisher: HINDAWI LTDISSN: 1687-4188Frequency: 1 issue/year

International Journal of Biomedical Imaging, published by HINDAWI LTD, stands as a pivotal resource in the field of biomedical imaging, bridging the gap between technological innovation and clinical application. Since its inception in 2006 as an Open Access journal, it has become accessible to a global audience, facilitating research dissemination and collaboration. The journal has garnered recognition within the academic community, achieving a notable Q2 category ranking in Radiology, Nuclear Medicine, and Imaging, with an impressive Scopus rank of 16 out of 333, placing it in the 95th percentile of its field. With coverage from 2006 to 2024, the journal encompasses a broad spectrum of studies focused on advancements in imaging technologies, methodologies, and clinical applications, making it an indispensable source for researchers, professionals, and students eager to stay at the forefront of biomedical imaging innovation.

IMAGING SCIENCE JOURNAL

Innovating Insights in Computer Vision and Media
Publisher: TAYLOR & FRANCIS LTDISSN: 1368-2199Frequency: 8 issues/year

Imaging Science Journal, published by Taylor & Francis Ltd, serves as a vital resource for researchers and professionals in the fields of computer vision, pattern recognition, and media technology. With an ISSN of 1368-2199 and an E-ISSN of 1743-131X, this journal has been fostering scholarly dialogue since its inception in 1997, with a converged content offering extending through 2024. Its categorization in Quartile 4 in Computer Vision and Pattern Recognition and Quartile 3 in Media Technology highlights its relevance and contributions to emerging trends in these domains. Although it ranks 36th in the Engineering - Media Technology category and 96th in Computer Science - Computer Vision and Pattern Recognition, its innovative research and insights continue to attract the attention of scholars dedicated to advancing knowledge at the intersection of imaging technologies. Offering versatile access options, this journal is essential for students, researchers, and professionals aiming to stay informed and engaged in the rapidly evolving landscape of imaging science.