Visual Computing for Industry Biomedicine and Art

Scope & Guideline

Empowering Innovations Across Biomedicine, Industry, and Art

Introduction

Delve into the academic richness of Visual Computing for Industry Biomedicine and Art with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN-
PublisherSPRINGER SINGAPORE PTE LTD
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationVIS COMPUT IND BIOME / Vis. Comput. Ind. Biomed. Art
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address152 Beach Road, #21-01 Gateway East, SINGAPORE 189721, SINGAPORE

Aims and Scopes

The journal 'Visual Computing for Industry Biomedicine and Art' focuses on the intersection of visual computing techniques and their applications across various fields, including healthcare, industry, and the arts. It aims to advance the use of visual computing methods to address complex problems and improve outcomes in these domains.
  1. Biomedical Imaging and Analysis:
    The journal emphasizes the application of visual computing in medical imaging, including techniques such as computed tomography, magnetic resonance imaging, and ultrasound, to enhance diagnostic accuracy and treatment planning.
  2. Machine Learning and AI Integration:
    A significant focus is placed on integrating machine learning and artificial intelligence with visual computing to develop advanced algorithms for image classification, segmentation, and analysis in healthcare and industrial settings.
  3. Industrial Applications of Visual Computing:
    The journal explores the use of visual computing techniques for optimizing industrial processes, including automation, defect detection, and 3D reconstruction, promoting efficiency and innovation in manufacturing.
  4. Art and Aesthetic Computing:
    There is a unique contribution towards the exploration of visual computing in the arts, including the development of tools and methods for visual analysis and the creation of digital art.
  5. Interdisciplinary Research:
    The journal encourages interdisciplinary studies that combine computer science, engineering, medicine, and the arts, fostering collaboration among researchers from diverse fields.
Recent publications in the journal indicate a clear trend towards specific themes that are gaining traction. These emerging scopes highlight the evolving interests and technological advancements in visual computing.
  1. Advanced Machine Learning Techniques:
    There is an increasing focus on sophisticated machine learning methodologies, such as deep learning and reinforcement learning, particularly in medical imaging and industrial applications, reflecting the growing impact of AI.
  2. Radiomics and Predictive Analytics in Healthcare:
    The integration of radiomics with predictive analytics for patient outcomes is becoming more prominent, showcasing the importance of data-driven approaches in personalized medicine.
  3. Interactivity and Real-Time Processing:
    Emerging research is exploring interactive visual computing methods that allow real-time data processing and visualization, which is essential for applications in surgery and dynamic industrial environments.
  4. Digital Twins and Simulation Technologies:
    The concept of digital twins is gaining attention, with studies focusing on their application in monitoring and optimizing industrial processes, indicating a shift towards more integrated and real-time systems.
  5. Augmented and Virtual Reality Applications:
    There is a growing interest in the use of augmented and virtual reality for training, education, and therapeutic applications, reflecting a trend towards immersive technologies in various fields.

Declining or Waning

While the journal has seen growth in several areas, certain themes appear to be declining in prominence based on recent publications. These waning scopes reflect a shift in research focus and interests within the community.
  1. Traditional Image Processing Techniques:
    There is a noticeable decrease in the publication of papers focused solely on traditional image processing methods, as the field shifts towards more advanced techniques involving machine learning and AI.
  2. General Surveys without Novel Contributions:
    Papers that provide broad surveys of existing technologies or methods without introducing innovative approaches are becoming less frequent, indicating a preference for novel research and applications.
  3. Basic Computational Theories:
    Research focusing solely on foundational computational theories without practical applications in visual computing has seen a decline, as the journal prioritizes applied and interdisciplinary research.

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