Imaging

Scope & Guideline

Transforming Perspectives in Medical Imaging

Introduction

Explore the comprehensive scope of Imaging through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Imaging in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN-
PublisherAKADEMIAI KIADO ZRT
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationIMAGING / Imaging
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBUDAFOKI UT 187-189-A-3, H-1117 BUDAPEST, HUNGARY

Aims and Scopes

The journal "Imaging" focuses on the dissemination of cutting-edge research in medical imaging, particularly emphasizing the integration of advanced imaging techniques with artificial intelligence and machine learning methodologies. It serves as a platform for the exploration of novel diagnostic techniques and their clinical applications, while promoting interdisciplinary collaboration among researchers and clinicians.
  1. Multimodal Imaging Techniques:
    Research articles often explore the use of various imaging modalities such as MRI, CT, PET, and ultrasound, highlighting their combined diagnostic capabilities and advancements in imaging technology.
  2. Radiomics and Machine Learning:
    A significant focus on the application of radiomics combined with machine learning algorithms is evident, with studies aimed at predicting clinical outcomes, tumor characteristics, and treatment responses.
  3. Clinical Applications and Diagnostic Accuracy:
    The journal prioritizes studies that assess the clinical utility of imaging techniques in diagnosing and managing various diseases, including cancer, cardiovascular conditions, and neurological disorders.
  4. Innovative Imaging Techniques:
    There is an emphasis on developing and validating novel imaging methods, such as advanced MRI sequences, deep learning-based imaging reconstruction, and image fusion techniques.
  5. AI and Deep Learning in Imaging:
    The integration of artificial intelligence in imaging processes is a recurring theme, with a focus on improving accuracy, efficiency, and workflow in clinical settings.
The journal "Imaging" has observed an upward trend in several emerging research themes that reflect current advancements and interests in the field of medical imaging. These themes showcase innovative approaches and the evolving nature of technology in diagnostics.
  1. Artificial Intelligence and Deep Learning:
    There is a significant increase in publications utilizing AI and deep learning techniques for image analysis, segmentation, and diagnostic purposes, indicating a strong trend towards automation and enhanced accuracy.
  2. Radiomics and Predictive Modeling:
    The integration of radiomics in predictive modeling for various cancers and diseases is gaining traction, with researchers focusing on extracting quantitative features from imaging data to inform clinical decisions.
  3. Image Fusion Techniques:
    Emerging studies are focusing on the fusion of images from different modalities to improve diagnostic accuracy and provide comprehensive assessments of patient conditions.
  4. Patient-Centric Imaging Research:
    There is a growing emphasis on research that directly addresses patient outcomes, quality of life, and the impact of imaging on treatment decisions, reflecting a shift towards patient-centered care.
  5. Advanced Imaging Biomarkers:
    An increase in research exploring imaging biomarkers for disease characterization and treatment response assessment is evident, highlighting the role of imaging in personalized medicine.

Declining or Waning

While the journal "Imaging" continues to thrive with numerous innovative research publications, certain themes have shown signs of decline in recent years. These waning scopes reflect shifts in research focus and the evolving landscape of medical imaging.
  1. Traditional Imaging Techniques:
    Research centered around conventional imaging techniques, such as standard X-rays and basic CT scans, appears to be decreasing as newer, more sophisticated modalities gain prominence.
  2. Basic Image Processing Techniques:
    There is a noticeable decline in studies focusing solely on basic image processing methods without the integration of advanced algorithms or artificial intelligence.
  3. Single Modality Studies:
    The journal is seeing fewer articles that investigate a single imaging modality in isolation, as the trend shifts towards multimodal approaches that combine different imaging techniques for enhanced diagnostic accuracy.
  4. General Reviews on Imaging Techniques:
    The frequency of general review articles discussing imaging techniques without specific applications or advancements has diminished, suggesting a preference for research with practical clinical implications.
  5. Non-clinical Imaging Research:
    There is a noticeable decline in studies focusing on purely theoretical or non-clinical applications of imaging technology, as the emphasis shifts towards research with direct clinical relevance.

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