Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11796)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MLCN: International Workshop on Machine Learning in Clinical Neuroimaging, OR 2.0: International Workshop on OR 2.0 Context-Aware Operating Theaters
Conference proceedings info: MLCN 2019, OR 2.0 2019.
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Table of contents (12 papers)
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Front Matter
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Proceedings of the 2nd International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019)
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Front Matter
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Proceedings of the 2nd International Workshop on Machine Learning in Clinical Neuroimaging: Entering the Era of Big Data via Transfer Learning and Data Harmonization (MLCN 2019)
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Front Matter
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Back Matter
Other Volumes
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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
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.
Editors and Affiliations
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University of Sydney, Sydney, Australia
Luping Zhou
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University of Rennes 1, Rennes, France
Duygu Sarikaya
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Radboud University Medical Center, Nijmegen, The Netherlands
Seyed Mostafa Kia
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National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
Stefanie Speidel
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Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, USA
Anand Malpani
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Harvard Medical School, Massachusetts General Hospital, Boston, USA
Daniel Hashimoto
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University of Pennsylvania, Philadelphia, USA
Mohamad Habes
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Umeå University, Umeå, Sweden
Tommy Löfstedt
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Charité-Universitätsmedizin Berlin, Berlin, Germany
Kerstin Ritter
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IBM Research - Almaden, San Jose, USA
Hongzhi Wang
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: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-32695-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32694-4Published: 11 October 2019
eBook ISBN: 978-3-030-32695-1Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 114
Number of Illustrations: 2 b/w illustrations, 33 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence
