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Showing 1-20 of 10,000 results
  1. Hybrid nuclear/CT cardiac imaging: Pros cons and the future

    Yafim Brodov, Pierre Chouraqui, Orly Goitein in Journal of Nuclear Cardiology
    Article 18 August 2023
  2. The use of hybrid operating rooms in neurosurgery, advantages, disadvantages, and future perspectives: a systematic review

    Background

    Hybrid operating rooms (hybrid-ORs) combine the functionalities of a conventional surgical theater with the advanced imaging technologies...

    Maria Gharios, Victor Gabriel El-Hajj, ... Adrian Elmi-Terander in Acta Neurochirurgica
    Article Open access 16 August 2023
  3. Hybrid PET/MRI imaging in non-ischemic cardiovascular disease

    Background and aim

    Hybrid Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) is a new multimodality technique with a promising future...

    Giulia Argalia, Marco Fogante, ... Luca Burroni in Clinical and Translational Imaging
    Article 05 August 2023
  4. Systematic Review of Hybrid Cardiac Imaging

    The ongoing advance in diagnostic for detection of coronary artery disease (CAD) and other cardiac diseases leads to an impetuous development of...
    Susanna Breviario, Davide Tore, ... Alessandro Depaoli in Hybrid Cardiac Imaging for Clinical Decision-Making
    Chapter 2022
  5. Hybrid Imaging and Healthcare Economics

    Owing to the rapid technological advancement in cardiovascular diagnostic imaging, many non-invasive diagnostic tests are currently available which...
    Danilo Neglia, Valentina Lorenzoni, Giuseppe Turchetti in Hybrid Cardiac Imaging
    Chapter 2022
  6. Hybrid Nanomaterials as Novel Therapeutic and Imaging Modalities

    Nanocarriers have revolutionized the field of pharmacy and medicine with proven record as versatile platforms in drug delivery. However,...
    Mayank Handa, Vanshul Saini, ... Rahul Shukla in Nanomaterial-Based Drug Delivery Systems
    Chapter 2023
  7. Clinical Cases of Hybrid Cardiac Imaging

    Noninvasive cardiac imaging has continuously improved diagnostic performance in clinical cardiology. Visual assessment of obstructive coronary...
    Kenji Fukushima, Michinobu Nagao in Hybrid Cardiac Imaging for Clinical Decision-Making
    Chapter 2022
  8. Robotics in Medical Domain: The Future of Surgery, Healthcare and Imaging

    Robotics is a popular branch of Machine Learning that has grown the interest of researchers for many years. Machine learning is used for developing...

    Anisha Halder Roy, Sanchita Ghosh, Bharat Gupta in Wireless Personal Communications
    Article 04 October 2023
  9. Hybrid Approach for Classification of Medical Imaging Data Using Machine Learning Techniques

    In recent scenario the impact of COVID-19 has put the whole medical system on verge of developing algorithm which may combine the medical terminology...
    Arun Kumar Gautam, Shikha Verma in Machine Intelligence and Data Science Applications
    Conference paper 2023
  10. A new bimodal approach for sentinel lymph node imaging in prostate cancer using a magnetic and fluorescent hybrid tracer

    Purpose

    To obtain initial data on sentinel lymph node (SLN) visualisation by pre-operative magnetic resonance imaging (MRI) and intra-operative...

    Bianca Michalik, Svenja Engels, ... Alexander Winter in European Journal of Nuclear Medicine and Molecular Imaging
    Article Open access 24 November 2023
  11. A quantitative analysis of imaging features in lung CT images using the RW-T hybrid segmentation model

    Lung cancer is the leading cause of cancer death worldwide. A lung nodule is the most common symptom of lung cancer. The analysis of lung cancer...

    RamaVasantha Adiraju, Susan Elias in Multimedia Tools and Applications
    Article 02 October 2023
  12. Analysis of Key Points in the Design of Hybrid Operating Room for the Future

    Based on the trend of the development of hospital wisdom and the time-varying needs of future patient groups for personalized experiences, this paper...
    Yaonan Ai, Yue Wu, Shanshan Zhang in Design for Health
    Conference paper 2023
  13. Diabetic foot ulcer classification of hybrid convolutional neural network on hyperspectral imaging

    Diabetic foot ulcer is a chief distress of diabetes mellitus. The diabetic foot ulcer (DFU) is the extremely injurious dilemma associated to diabetes...

    T. Arumuga Maria Devi, R. Hepzibai in Multimedia Tools and Applications
    Article 07 December 2023
  14. Hybrid Imaging Using Single Photon Emission Computed Tomography

    Hybrid cardiac imaging, i.e., the use of more than one imaging technique or modality for imaging cardiac structure and/or function, is gaining...
    G. Ross Farris, Ami E. Iskandrian, ... Pradeep Bhambhvani in Hybrid Cardiac Imaging for Clinical Decision-Making
    Chapter 2022
  15. A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissues

    Light-sheet microscopy has emerged as the preferred means for high-throughput volumetric imaging of cleared tissues. However, there is a need for a...

    Adam K. Glaser, Kevin W. Bishop, ... Jonathan T. C. Liu in Nature Methods
    Article 11 May 2022
  16. Hybrid Cardiac Imaging for the Invasive Cardiologist

    For decades Coronary Angiography (CA) has represented the gold standard for the diagnosis and management of coronary artery disease (CAD). Today,...
    Enrico Romagnoli, Francesco Burzotta, ... Carlo Trani in Hybrid Cardiac Imaging for Clinical Decision-Making
    Chapter 2022
  17. Engineered Hybrid Nanoparticles for Multimodal Medical Imaging and Diagnosis

    Medical imaging plays a vital role in the early detection and assessment of the therapeutic response of diseases, especially cancer. It comprises...
    Chapter 2022
  18. Hybrid Cardiac Imaging for the Clinical Cardiologist

    Developments in noninvasive imaging technologies coupled with improved and faster dedicated software products for image processing and analysis over...
    Chapter 2022
  19. Introduction to Machine Learning: Definitions and Hybrid Imaging Applications

    This chapter provides a brief introduction to the basic machine learning principles and their common pitfalls. We will point to custom applications...
    Chapter 2022