International Journal of Biomedical Imaging

Scope & Guideline

Empowering Innovation in Medical Visualization

Introduction

Welcome to your portal for understanding International Journal of Biomedical Imaging, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1687-4188
PublisherHINDAWI LTD
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2006 to 2024
AbbreviationINT J BIOMED IMAGING / Int. J. Biomed. Imaging
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND

Aims and Scopes

The International Journal of Biomedical Imaging focuses on advancing the field of medical imaging through innovative research and the application of cutting-edge technologies. Its primary aims include the development of novel imaging techniques, improvement of existing methods, and the integration of artificial intelligence in medical diagnostics.
  1. Clinical Applications of Imaging Techniques:
    The journal emphasizes research that applies various imaging modalities (e.g., MRI, CT, ultrasound) in clinical settings, demonstrating their effectiveness in diagnosing and managing diseases.
  2. Advancements in Image Processing Algorithms:
    A significant focus is placed on the development and enhancement of algorithms for image segmentation, classification, and reconstruction, particularly using machine learning and deep learning techniques.
  3. Multimodal Imaging Approaches:
    The journal promotes studies that utilize combinations of different imaging techniques to provide comprehensive insights into health conditions, thus enhancing diagnostic accuracy.
  4. Innovative Imaging Technologies:
    Research on new imaging technologies, such as fiber-optic microscopy and advanced contrast agents, is a core area of interest, showcasing novel applications and methodologies.
  5. Quantitative Imaging Biomarkers:
    The journal encourages the exploration of quantitative measures derived from imaging data that can serve as biomarkers for disease progression and treatment response.
The journal has witnessed a significant evolution in its thematic focus, particularly towards the application of artificial intelligence and advanced imaging techniques. Emerging themes reflect the current trends and technological advancements in the biomedical imaging landscape.
  1. Artificial Intelligence in Medical Imaging:
    There is a marked increase in research exploring the application of AI and deep learning for image analysis, classification, and segmentation, highlighting its potential to revolutionize diagnostics.
  2. COVID-19 Related Imaging Research:
    Research addressing imaging techniques for the detection and monitoring of COVID-19 has surged, showcasing the journal's responsiveness to global health challenges and the role of imaging in pandemic management.
  3. Integration of Imaging with Other Diagnostic Modalities:
    Emerging studies are increasingly focusing on the integration of imaging data with other clinical data (e.g., genetic, biochemical) to enhance diagnostic accuracy and patient management.
  4. Real-time Imaging Techniques:
    There is a growing trend towards real-time imaging applications, particularly in surgical and emergency settings, reflecting the demand for immediate diagnostic capabilities.
  5. Enhanced Imaging Techniques for Specific Conditions:
    Research is increasingly targeting specific diseases, such as cancer and cardiovascular diseases, with innovative imaging approaches tailored to improve detection and treatment monitoring.

Declining or Waning

While the journal has consistently focused on various aspects of biomedical imaging, certain themes have shown a decline in prominence over recent years. This may indicate shifting interests within the field or advancements in technology that have rendered some approaches less relevant.
  1. Traditional Imaging Techniques without AI Integration:
    There has been a noticeable decline in papers focused solely on traditional imaging techniques without the incorporation of AI or machine learning, as the field increasingly moves towards automated and intelligent imaging solutions.
  2. Invasive Imaging Procedures:
    Research focusing on invasive imaging methods, such as certain surgical imaging techniques, has become less frequent, possibly due to advancements in non-invasive alternatives that provide similar diagnostic capabilities.
  3. Basic Image Quality Assessment Studies:
    Papers that solely address basic image quality assessment without novel contributions or applications have decreased, reflecting a shift toward more complex and applied research.

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