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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

Luping Zhou editor Duygu Sarikaya editor Seyed Mostafa Kia editor Stefanie Speidel editor Anand Malpani editor Daniel Hashimoto editor Mohamad Habes editor Tommy Löfstedt editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:11th Oct '19

Currently unavailable, and unfortunately no date known when it will be back

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

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.

Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.

ISBN: 9783030326944

Dimensions: unknown

Weight: unknown

114 pages

2019 ed.