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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

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  2. Purang Abolmaesumi

    1. The University of British Columbia, Vancouver, Canada

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  3. Danail Stoyanov

    1. University College London, London, UK

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  4. Diana Mateus

    1. École Centrale de Nantes, Nantes, France

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  5. Maria A. Zuluaga

    1. EURECOM, Biot, France

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  6. S. Kevin Zhou

    1. Chinese Academy of Sciences, Beijing, China

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  7. Daniel Racoceanu

    1. Sorbonne University, Paris, France

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  8. Leo Joskowicz

    1. The Hebrew University of Jerusalem, Jerusalem, Israel

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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.

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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

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Table of contents (75 papers)

  1. Front Matter

    Pages i-xxxvi
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  2. CAI Applications

    1. Front Matter

      Pages 1-1
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    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
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    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
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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

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