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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Dinggang Shen

    1. University of North Carolina at Chapel Hill, Chapel Hill, USA

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  2. Tianming Liu

    1. University of Georgia, Athens, USA

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  3. Terry M. Peters

    1. Western University, London, Canada

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  4. Lawrence H. Staib

    1. Yale University, New Haven, USA

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  5. Caroline Essert

    1. University of Strasbourg, Illkirch, France

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  6. Sean Zhou

    1. United Imaging Intelligence, Shanghai, China

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  7. Pew-Thian Yap

    1. University of North Carolina at Chapel Hill, Chapel Hill, USA

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  8. Ali Khan

    1. Western University, London, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11768)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MICCAI 2019.

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Table of contents (77 papers)

  1. Front Matter

    Pages i-xxxvi
    Download chapter PDF

  2. Computer-Assisted Interventions

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Robust Cochlear Modiolar Axis Detection in CT

      • Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Hervé Delingette
      Pages 3-10

    3. Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories

      • Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell Taylor, Andreas Maier, Nassir Navab et al.
      Pages 11-19

    4. Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery

      • Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
      Pages 20-28

    5. Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Exploration in Virtual Reality

      • Balázs Faludi, Esther I. Zoller, Nicolas Gerig, Azhar Zam, Georg Rauter, Philippe C. Cattin
      Pages 29-37

    6. Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting

      • Yun Gu, Benjamin Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang
      Pages 38-46

    7. A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Ultrasound Probe Tracking Without External Trackers

      • Xiongbiao Luo, Hui-Qing Zeng, Yan-Ping Du, Xiao Cheng
      Pages 47-55

    8. An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools

      • Dongqing Zang, Gui-Bin Bian, Yunlai Wang, Zhen Li
      Pages 56-64

    9. Semi-autonomous Robotic Anastomoses of Vaginal Cuffs Using Marker Enhanced 3D Imaging and Path Planning

      • M. Kam, H. Saeidi, S. Wei, J. D. Opfermann, S. Leonard, M. H. Hsieh et al.
      Pages 65-73

    10. ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery Using a Head-Mounted Display

      • Long Qian, Xiran Zhang, Anton Deguet, Peter Kazanzides
      Pages 74-82

    11. Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation

      • Paul Thienphrapa, Torre Bydlon, Alvin Chen, Prasad Vagdargi, Nicole Varble, Douglas Stanton et al.
      Pages 83-91

    12. Non-invasive Assessment of in Vivo Auricular Cartilage by Ultra-short Echo Time (UTE) \(T_{2}^{*}\) Mapping

      • Xue Li, Cheng Zhao, Weiwei Zhang
      Pages 92-100

    13. INN: Inflated Neural Networks for IPMN Diagnosis

      • Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan et al.
      Pages 101-109

    14. Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation

      • Libin Liang, Derek Cool, Nirmal Kakani, Guangzhi Wang, Hui Ding, Aaron Fenster
      Pages 110-118

    15. Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation

      • Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt et al.
      Pages 119-127

    16. Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans

      • Farhad Ghazvinian Zanjani, David Anssari Moin, Frank Claessen, Teo Cherici, Sarah Parinussa, Arash Pourtaherian et al.
      Pages 128-136

    17. Physics-Based Deep Neural Network for Augmented Reality During Liver Surgery

      • Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, Stéphane Cotin
      Pages 137-145

    18. Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS

      • Yingying Zhu, Jodi Gilman, Anne Eden Evins, Mert Sabuncu
      Pages 146-154

    19. Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training

      • Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf
      Pages 155-163
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  7. Computational Biomechanics for Medicine

  8. Computational Diffusion MRI

Keywords

About this book

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019.

The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: optical imaging; endoscopy; microscopy.

Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.

Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.

Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.

Part V: computer assisted interventions; MIC meets CAI.

Part VI: computed tomography; X-ray imaging.

Editors and Affiliations

  • University of North Carolina at Chapel Hill, Chapel Hill, USA

    Dinggang Shen, Pew-Thian Yap

  • University of Georgia, Athens, USA

    Tianming Liu

  • Western University, London, Canada

    Terry M. Peters, Ali Khan

  • Yale University, New Haven, USA

    Lawrence H. Staib

  • University of Strasbourg, Illkirch, France

    Caroline Essert

  • United Imaging Intelligence, Shanghai, China

    Sean Zhou

Bibliographic Information

  • Book Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

  • Book Subtitle: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V

  • Editors: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, … Ali Khan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-32254-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-32253-3Published: 18 October 2019

  • eBook ISBN: 978-3-030-32254-0Published: 10 October 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXVI, 695

  • Number of Illustrations: 101 b/w illustrations, 284 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Health Informatics

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