Image Processing, Computer Vision, Pattern Recognition, and Graphics

OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Editors: Zhou, L., Sarikaya, D., Kia, S.M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K., Wang, H. (Eds.)

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  • ISBN 978-3-030-32695-1
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Softcover $59.99
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About this book

This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment.

MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.

 

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Feature Aggregation Decoder for Segmenting Laparoscopic Scenes

    Pages 3-11

    Kadkhodamohammadi, Abdolrahim (et al.)

  • Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories

    Pages 12-20

    Fauser, Johannes (et al.)

  • Guided Unsupervised Desmoking of Laparoscopic Images Using Cycle-Desmoke

    Pages 21-28

    Vishal, V. (et al.)

  • Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

    Pages 29-37

    Rivoir, Dominik (et al.)

  • Live Monitoring of Haemodynamic Changes with Multispectral Image Analysis

    Pages 38-46

    Ayala, Leonardo A. (et al.)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-32695-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-32694-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
Book Subtitle
Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Editors
  • Luping Zhou
  • Duygu Sarikaya
  • Seyed Mostafa Kia
  • Stefanie Speidel
  • Anand Malpani
  • Daniel Hashimoto
  • Mohamad Habes
  • Tommy Löfstedt
  • Kerstin Ritter
  • Hongzhi Wang
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11796
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32695-1
DOI
10.1007/978-3-030-32695-1
Softcover ISBN
978-3-030-32694-4
Edition Number
1
Number of Pages
XVI, 114
Number of Illustrations
2 b/w illustrations, 33 illustrations in colour
Topics