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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
  • Duygu Sarikaya
  • Seyed Mostafa Kia
  • Stefanie Speidel
  • Anand Malpani
  • Daniel Hashimoto
  • Mohamad Habes
  • Tommy Löfstedt
  • Kerstin Ritter
  • Hongzhi Wang
Conference proceedings OR 2.0 2019, MLCN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11796)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11796)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Proceedings of the 2nd International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019)

    1. Front Matter
      Pages 1-1
    2. Abdolrahim Kadkhodamohammadi, Imanol Luengo, Santiago Barbarisi, Hinde Taleb, Evangello Flouty, Danail Stoyanov
      Pages 3-11
    3. Johannes Fauser, Moritz Fuchs, Ahmed Ghazy, Bernhard Dorweiler, Anirban Mukhopadhyay
      Pages 12-20
    4. V. Vishal, Neeraj Sharma, Munendra Singh
      Pages 21-28
    5. Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
      Pages 29-37
    6. Leonardo A. Ayala, Sebastian J. Wirkert, Janek Gröhl, Mildred A. Herrera, Adrian Hernandez-Aguilera, Anant Vemuri et al.
      Pages 38-46
    7. Chin-Boon Chng, Pooi-Mun Wong, Nicholas Ho, Xiaoyu Tan, Chee-Kong Chui
      Pages 47-55
  3. 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)

    1. Front Matter
      Pages 57-57
    2. Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
      Pages 59-67
    3. Mauricio Orbes-Arteainst, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat et al.
      Pages 68-76
    4. Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana M. Sima
      Pages 77-85
    5. Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris Lettow et al.
      Pages 86-94
    6. Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
      Pages 95-102
    7. Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike Vernooij et al.
      Pages 103-111
  4. Back Matter
    Pages 113-114

About these proceedings

Introduction

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.

 

Keywords

artificial intelligence computer vision image analysis image reconstruction imaging systems multi-spectral remote sensing visual qualities

Editors and affiliations

  1. 1.University of SydneySydneyAustralia
  2. 2.University of Rennes 1RennesFrance
  3. 3.Radboud University Medical CenterNijmegenThe Netherlands
  4. 4.National Center for Tumor Diseases (NCT/UCC)DresdenGermany
  5. 5.Malone Center for Engineering in HealthcareJohns Hopkins UniversityBaltimoreUSA
  6. 6.Harvard Medical SchoolMassachusetts General HospitalBostonUSA
  7. 7.University of PennsylvaniaPhiladelphiaUSA
  8. 8.Umeå UniversityUmeåSweden
  9. 9.Charité-Universitätsmedizin BerlinBerlinGermany
  10. 10.IBM Research - AlmadenSan JoseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-32695-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-32694-4
  • Online ISBN 978-3-030-32695-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site