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- Cardiac Imaging: Clinical Principles and Applications
2. Left Ventricle Segmentation for Cine MR Using Deep Learning
3. Computational Methods for Identifying Left Ventricle Heart Pathologies
4. Diabetes Mellitus and Atrial Fibrillation - Untying the Gordian Knot
5. Carotenoids in Diabetes, Retinopathy, and Cardiovascular Risk
6. Nanomedicine Approaches for the Diagnosis, Treatment, and Theragnosis of Diabetes Mellitus, Hypertension, and Their Associated Cardiovascular Disease
7. Data-Driven Features Learning for Myocardial Registration and Segmentation
8. Diabetes and Coronary Circulation: From Pathology to Imaging
9. Prediction of Paravalvular Leak Post Transcatheter Aortic Valve Replacement
10. Clinical Imaging Techniques for Assessing Vascular Risk and Complications in the Lower Extremities
11. Management of Heart Failure in the Context of Type 2 Diabetes
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
Diabetes researchers, endocrinology/cardiovascular researchers; bioengineers, and bioinformatics and imaging scientists interested in diabetes
- No. of pages:
- © Elsevier 2021
- 19th March 2021
- Paperback ISBN:
- eBook ISBN:
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).
Professor, University Scholar, and Chair of the Bioengineering Department, University of Louisville, USA
Dr. Jasrit Suri, PhD, MBA, Fellow AIMBE is an innovator, visionary, scientist, and an internationally known world leader. Dr. Suri received the Director General’s Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC in 2004. He has published over 650 peer reviewed articles and has over 100 innovations/trademarks. He has author/co-authored over 45 books. He is currently Chairman of Global Biomedical Technologies, Inc., Roseville, CA, and is on the board of AtheroPoint, Roseville, CA, a company dedicated to Atherosclerosis Imaging for early screening for stroke and cardiovascular monitoring. He has held positions as a chairman of IEEE Denver section and advisor board member to healthcare industries and several universities in USA and abroad.
Chairman of Global Biomedical Technologies, Inc.; Board Member, AtheroPoint, Roseville, CA, USA
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