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.
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Table of Contents
1. Cardiac Imaging: Clinical Principles and Applications2. 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
Authors
Ayman S. El-Baz University of Louisville, USA. 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). Jasjit Suri Chairman, AtheroPoint LLC, USA.Dr. Jasjit Suri, PhD, MBA, is an innovator, visionary, scientist, and internationally known world leader. Dr Suri received the Director General's Gold medal in 1980 and Fellow of (i) American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC, (ii) Institute of Electrical and Electronics Engineers, (iii) American Institute of Ultrasound in Medicine, (iv) Society of Vascular Medicine, (v) Asia Pacific Vascular Society, and (vi) Asia Association of Artificial Intelligence. Dr. Suri was honored with life time achievement awards by Marcus, NJ, USA and Graphics Era University, Dehradun, India. He has published nearly 300 peer-reviewed Artificial Intelligence articles, nearly 2000 Google Scholar Publications, 100 books, and 100 innovations/trademarks leading to an H-index of nearly 100 with about 43,000 citations. He has held positions as chairman of AtheroPoint, CA, USA, IEEE Denver section, Colorado, USA, and advisory board member to healthcare industries and several universities in the United States of America and abroad.
