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Reza Avazmohammadi, Michael Sacks - Machine Learning in Cardiovascular Biomechanics, Inbunden

Inbunden, Engelska, 2027

Machine Learning in Cardiovascular Biomechanics

Function, Diagnosis, and Prediction

Av Reza Avazmohammadi, Michael Sacks

Del i serien Biomechanics of Living Organs

2611 kr

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Beskrivning
Machine Learning in Cardiovascular Biomechanics: Function, Diagnosis, and Prediction serves as a state-of-the-art reference of the methods and models published in the literature to highlight the current difficulties and encourage further exploration of applications of machine learning to cardiovascular biomechanics. This volume is a valuable asset for researchers and students attempting to address problems in cardiovascular mechanics using machine learning techniques as a reference to previously attempted and successful methods.

  • Presents key insights from top engineers, scientists, and clinicians on machine learning models as reference for different cardiovascular applications
  • Serves as a comprehensive reference for benchmark modeling techniques, enabling researchers to transition from model selection and comparison to practical application of biomechanical machine learning models
  • Includes an examination of whether the machine learning methodologies align with the fundamental physiological principles, providing critical insights into the compatibility between computational techniques and biological systems
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Dr. Reza Avazmohammadi (Avaz) is an assistant professor and the director of the Computational Cardiovascular Bioengineering Laboratory in the Department of Biomedical Engineering at Texas A&M University. Dr. Avaz earned his PhD in Mechanical Engineering from the University of Pennsylvania (2014) in constitutive modelling of soft materials, and his postdoctoral research training focused on cardiac biomechanics. Dr. Avaz’s group primary research interest is to integrate medical imaging with cardiac biomechanics and modelling to advance our understanding of myocardial remodelling in structural heart diseases and develop image-based technologies to improve non-invasive diagnosis and prognosis of these diseases. Professor Sacks is a world authority on cardiovascular modelling and simulation, particularly on developing patient-specific, simulation-based approaches for the understanding and treatment of heart and heart valve diseases. Dr. Sacks was technical editor of the Journal of Biomechanical Engineering, an inaugural fellow of the Biomedical Engineering Society, a fellow of the American Society of Mechanical Engineers, and a fellow of the American Institute for Medical and Biological Engineering. He has received several awards, including the Van C. Mow Medal from the ASME Bioengineering Division, the 2008 Chancellor’s Distinguished Research Award of the University of Pittsburgh, the 2008 Richard Skalak Distinguished Lectureship from Columbia University, and the 2008 SKT Lectureship from the City College of New York. In December 2006, Sacks was selected as one of the “Scientific American” 50 leaders in science and technology.

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