Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Anne L. Martel

    1. University of Toronto, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Purang Abolmaesumi

    1. The University of British Columbia, Vancouver, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Danail Stoyanov

    1. University College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Diana Mateus

    1. École Centrale de Nantes, Nantes, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Maria A. Zuluaga

    1. EURECOM, Biot, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. S. Kevin Zhou

    1. Chinese Academy of Sciences, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Daniel Racoceanu

    1. Sorbonne University, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Leo Joskowicz

    1. The Hebrew University of Jerusalem, Jerusalem, Israel

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12263)

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 2020.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.

The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: machine learning methodologies

Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks

Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis

Part IV: segmentation; shape models and landmark detection

Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology

Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging

Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Similar content being viewed by others

Keywords

Table of contents (75 papers)

  1. Front Matter

    Pages i-xxxvi
    Download chapter PDF

  2. CAI Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Reconstructing Sinus Anatomy from Endoscopic Video – Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment

      • Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor et al.
      Pages 3-13

    3. Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee

      • Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier et al.
      Pages 14-23

    4. Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance?

      • Alfredo Illanes, Axel Boese, Michael Friebe, Christian Hansen
      Pages 24-33

    5. A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants

      • Erin Bratu, Robert Dwyer, Jack Noble
      Pages 34-43

    6. Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry

      • Amoon Jamzad, Alireza Sedghi, Alice M. L. Santilli, Natasja N. Y. Janssen, Martin Kaufmann, Kevin Y. M. Ren et al.
      Pages 44-53

    7. Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking

      • Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
      Pages 54-64

    8. An Interactive Mixed Reality Platform for Bedside Surgical Procedures

      • Ehsan Azimi, Zhiyuan Niu, Maia Stiber, Nicholas Greene, Ruby Liu, Camilo Molina et al.
      Pages 65-75

    9. Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders

      • Eimear O’ Sullivan, Lara van de Lande, Antonia Osolos, Silvia Schievano, David J. Dunaway, Neil Bulstrode et al.
      Pages 76-85

    10. Robust Multi-modal 3D Patient Body Modeling

      • Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling et al.
      Pages 86-95

    11. A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution

      • Xiongbiao Luo
      Pages 96-104

    12. Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network

      • Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian et al.
      Pages 105-114

    13. Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning

      • Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
      Pages 115-125

    14. Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation

      • Dingkun Liu, Tianyu Fu, Danni Ai, Jingfan Fan, Hong Song, Jian Yang
      Pages 126-134

    15. Reinforcement Learning of Musculoskeletal Control from Functional Simulations

      • Emanuel Joos, Fabien Péan, Orcun Goksel
      Pages 135-145

  3. Image Registration

    1. Front Matter

      Pages 147-147
      Download chapter PDF

    2. MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation

      • Xinzhe Luo, Xiahai Zhuang
      Pages 149-159

    3. Database Annotation with Few Examples: An Atlas-Based Framework Using Diffeomorphic Registration of 3D Trees

      • Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Joan Glaunès
      Pages 160-170

    4. Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network

      • Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen et al.
      Pages 171-180
Back to top

Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  8. Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data

Editors and Affiliations

  • University of Toronto, Toronto, Canada

    Anne L. Martel

  • The University of British Columbia, Vancouver, Canada

    Purang Abolmaesumi

  • University College London, London, UK

    Danail Stoyanov

  • École Centrale de Nantes, Nantes, France

    Diana Mateus

  • EURECOM, Biot, France

    Maria A. Zuluaga

  • Chinese Academy of Sciences, Beijing, China

    S. Kevin Zhou

  • Sorbonne University, Paris, France

    Daniel Racoceanu

  • The Hebrew University of Jerusalem, Jerusalem, Israel

    Leo Joskowicz

Bibliographic Information

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation