Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11794)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CVII-STENT: Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, MLMECH: International Workshop on Machine Learning and Medical Engineering for Cardiovascular Healthcare
Conference proceedings info: CVII-STENT 2019, MLMECH 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (24 papers)
-
Front Matter
-
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health
-
Front Matter
-
-
Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting
-
Front Matter
-
Other Volumes
-
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
About this book
This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases.
CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.
Editors and Affiliations
-
Tsinghua University, Beijing, China
Hongen Liao, Guijin Wang, Yongpan Liu, Zijian Ding
-
University of Barcelona, Barcelona, Spain
Simone Balocco
-
Chinese Academy of Sciences, Beijing, China
Feng Zhang
-
École de Technologie Supérieure, Montreal, Canada
Luc Duong
-
University of Calgary, Calgary, Canada
Renzo Phellan
-
Technical University of Munich, Munich, Germany
Guillaume Zahnd, Shadi Albarqouni, Stefanie Demirci
-
Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
Katharina Breininger
-
University College London, London, UK
Stefano Moriconi
-
Imperial College London, London, UK
Su-Lin Lee
Bibliographic Information
Book Title: Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
Book Subtitle: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, … Stefanie Demirci
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33327-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33326-3Published: 13 October 2019
eBook ISBN: 978-3-030-33327-0Published: 12 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 212
Number of Illustrations: 15 b/w illustrations, 68 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence