Advertisement

Computational Bioengineering and Bioinformatics

Computer Modelling in Bioengineering

  • Nenad Filipovic
Conference proceedings ICCB 2019

Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 11)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Milos Kojic, Miljan Milosevic, Bogdan Milicevic, Vladimir Simic
    Pages 12-21
  3. Milos Kojic, Miljan Milosevic, Vladimir Simic, Vladimir Geroski, Bogdan Milicevic, Arturas Ziemys et al.
    Pages 22-34
  4. Vladimir Geroski, Miljan Milosevic, Vladimir Simic, Bogdan Milicevic, Nenad Filipovic, Milos Kojic
    Pages 35-43
  5. Vladimir Simic, Miljan Milosevic, Arturas Ziemys, Milos Kojic
    Pages 44-52
  6. Momcilo Prodanovic, Boban Stojanovic, Mladen Maric, Danica Prodanovic, Srboljub M. Mijailovich
    Pages 53-63
  7. Alessandro Galassi, Charles Muszynski, Vincent Zalc, Dan Istrate, Catherine Marque
    Pages 64-79
  8. Tijana Šušteršič, Vladimir Milovanović, Vesna Ranković, Nenad Filipović, Aleksandar Peulić
    Pages 104-116
  9. Xhoena Polisi, Albana Halili, Constantin-Edi Tanase, Arban Uka, Nihal Engin Vrana, Amir Ghaemmaghami
    Pages 117-126
  10. Smiljana Djorovic, Igor Saveljic, Nenad Filipovic
    Pages 143-150
  11. Aleksandra Vulović, Nenad Filipović
    Pages 151-159
  12. Milos Radovic, Arso Vukicevic, Alen Zabotti, Vera Milic, Salvatore De Vita, Nenad Filipovic
    Pages 160-167
  13. Back Matter
    Pages 169-169

About these proceedings

Introduction

This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts

Keywords

Biomechanics Cardiovascular Engineering Patient Specific Modelling Population Based Modelling Multiscale Modelling Molecular Dynamics Dissipative Particle Dynamics Data Mining Application in Medicine Neural Engineering Biomedical Decision Support System Gene Expression Analysis and Engineering Signal Processing and Data Mining Biomaterials and Dental Biomechanics Nanomedicine Tissue and Cell Engineering Computational Chemistry High Performance Computing Sports Bioengineering ICCB2019 ICCB

Editors and affiliations

  • Nenad Filipovic
    • 1
  1. 1.Faculty of EngineeringUniversity of KragujevacKragujevacSerbia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-43658-2
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-43657-5
  • Online ISBN 978-3-030-43658-2
  • Series Print ISSN 2662-3447
  • Series Online ISSN 2662-3455
  • Buy this book on publisher's site