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Diabetes and Cardiovascular Disease
1st Edition - March 19, 2021
Editors: Ayman S. El-Baz, Jasjit Suri
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 7 4 2 8 - 9
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 7 4 2 9 - 6
Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical,… Read more
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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
1. 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
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
- No. of pages: 372
- Language: English
- Published: March 19, 2021
- Imprint: Elsevier
- Paperback ISBN: 9780128174289
- eBook ISBN: 9780128174296
AS
Ayman S. El-Baz
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).
Affiliations and expertise
University of LouisvilleJS
Jasjit Suri
Jasjit S. Suri, PhD, MBA, FIEEE, FAMIBE, FAIUM, FSVM, FAPVS is an innovator, visionary, scientist, and an internationally known world leader in Biomedical Engineering and its management. Dr. Suri received the Director General's Gold medal in 1980, is a Fellow of the Institute of Electrical and Electronics Engineers (2021), American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC (2004), American Institute of Ultrasound in Medicine (2019), Asia Pacific Vascular Society (2020) and recipient of Lifetime Achievement Award from Marquis (2018). He is currently Chairman of AtheroPoint, Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly 30,000 citations, has co-authored 60 books, and 50 US/European Patents.
Affiliations and expertise
Chairman, AtheroPoint LLC