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    1. Medicin
    2. Klinisk medicin och internmedicin
    3. Endokrinologi
    4. Medicin: diabetes

    Diabetes and Cardiovascular Disease

    AvAyman S. El-Baz,Jasjit S. Suri

    Häftad, Engelska, 2021

    Del i serien Computer-Assisted Diagnosis

    1 996 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provide a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world.



    • Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular disease
    • Discusses the impact of diabetes on cardiovascular disease
    • Covers statistical classification techniques and risk stratification

    Produktinformation

    • Utgivningsdatum:2021-03-19
    • Mått:191 x 235 x 28 mm
    • Vikt:790 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Computer-Assisted Diagnosis
    • Antal sidor:372
    • Förlag:Elsevier Science
    • ISBN:9780128174289

    Utforska kategorier

    • Medicin: diabetes inom Medicin
    • Hjärt- och kärlsjukdomar inom Medicin

    Mer om författaren

    Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master’s degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents). Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General’s Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.

    Innehållsförteckning

    • 1. Cardiac Imaging: Clinical Principles and Applications2. Left Ventricle Segmentation for Cine MR Using Deep Learning3. Computational Methods for Identifying Left Ventricle Heart Pathologies4. Diabetes Mellitus and Atrial Fibrillation - Untying the Gordian Knot5. Carotenoids in Diabetes, Retinopathy, and Cardiovascular Risk6. Nanomedicine Approaches for the Diagnosis, Treatment, and Theragnosis of Diabetes Mellitus, Hypertension, and Their Associated Cardiovascular Disease7. Data-Driven Features Learning for Myocardial Registration and Segmentation8. Diabetes and Coronary Circulation: From Pathology to Imaging9. Prediction of Paravalvular Leak Post Transcatheter Aortic Valve Replacement10. Clinical Imaging Techniques for Assessing Vascular Risk and Complications in the Lower Extremities11. Management of Heart Failure in the Context of Type 2 Diabetes
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