Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

1. Front Matter

   Pages i-xxxvi

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2. CAI Applications

   1. Front Matter

      Pages 1-1

      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

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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

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

• artificial intelligence
• bioinformatics
• computer vision
• deep learning
• hci
• human-computer interaction
• image analysis
• image coding
• image enhancement
• image processing
• image quality
• image reconstruction
• image segmentation
• imaging systems
• machine learning
• medical images
• neural networks
• pattern recognition
• signal processing

• 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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