Cardiovascular and Coronary Artery Imaging

Volume 1

Häftad, Engelska, 2021

Av Ayman S. El-Baz, Jasjit S. Suri, USA) S. El-Baz, Ayman (University of Louisville, USA) Suri, Jasjit S. (Chairman, AtheroPoint LLC, Ayman S. El-Baz

2 519 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Cardiovascular and Coronary Artery Imaging, Volume One covers state-of-the-art approaches for automated non-invasive systems in early cardiovascular disease diagnosis. The book includes several prominent imaging modalities, such as MRI, CT and PET technologies. A special emphasis is placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. This is a comprehensive, multi-contributed reference work that details the latest developments in spatial, temporal and functional cardiac imaging.

Takes an integrated approach to cardiovascular and coronary imaging, covering machine learning, deep learning and reinforcement learning approaches
Covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis
Provides a perspective on future cardiovascular imaging and highlights areas that still need improvement

Produktinformation

Utgivningsdatum2021-11-25
Mått191 x 235 x 23 mm
Vikt720 g
FormatHäftad
SpråkEngelska
Antal sidor358
FörlagElsevier Science
ISBN9780128227060

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

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.

1. Advanced coronary artery imaging: optical coherence tomography Damian Valencia, Juan Linares, Zachary Gilbert, Ryan Stuart, Olusola Adekoya,Brian Schwartz, Oscar Valencia and Rosaria Jordan2. Technique of cardiac magnetic resonance imagingAhmed Abdel Khalek Abdel Razek, Dalia Fahmy and Germeen Albair Ashmalla3. The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease Salah S. Al-Zaiti, Ziad Faramand, Khaled Rjoob, Dewar Finlay and Raymond Bond4. Extracting heterogeneous vessels in X-ray coronary angiography via machine learning Binjie Qin, Mingxin Jin and Song Ding5. Assessing coronary artery disease using coronary computed tomography angiography Mina M. Benjamin, Marco Shaker and Mark G. Rabbat6. Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease Chris Anthony, Reza Reyaldeen and Bo Xu7. Magnetic resonance imaging of ischemic heart disease Ahmed Abdel Khalek Abdel Razek, Dalia Fahmy and Germeen Albair Ashmalla8. CT angiography of anomalous pulmonary veins Ahmed Abdel Khalek Abdel Razek, Maha Elmansy, Mahmoud Abd El-Latif and Hala Al-Marsafawy9. Machine learning to predict mortality risk in coronary artery bypass surgery Michael P. Rogers and Paul C. Kuo10. Computed tomography angiography of congenital anomalies of pulmonary artery Ahmed Abdel Khalek Abdel Razek, Maha Elmansy, Mahmoud Abd El-Latif and Hala Al-Marsafawy11. Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patientss Mateusz Krysiński, Małgorzata Majocha and Ewaryst Tkacz12. Heart disease prediction using convolutional neural network Ajay Sharma, Tarun Pal and Varun Jaiswal13. Gene polymorphism and the risk of coronary artery disease Gowtham Kumar Subbaraj, Sindhu Varghese, Langeswaran Kulanthaivel, Lakshmi Alagarsamy,Sangeetha Rajaram and Sangeetha Ramanathan14. Role of optical coherence tomography in borderline coronary lesions Jit Brahmbhatt, Roopesh Singhal and Zeeshan Mansuri