Diabetes and Cardiovascular Disease

Features:

• 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

Table Of Contents:

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