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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII

  • Conference proceedings
  • © 2022

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Editors:
  1. Linwei Wang

    1. Rochester Institute of Technology, Rochester, USA

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  2. Qi Dou

    1. Chinese University of Hong Kong, Hong Kong, Hong Kong

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  3. P. Thomas Fletcher

    1. University of Virginia, Charlottesville, USA

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  4. Stefanie Speidel

    1. National Center for Tumor Diseases (NCT/UCC), Dresden, Germany

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  5. Shuo Li

    1. Case Western Reserve University, Cleveland, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13437)

Included in the following conference series:

Conference proceedings info: MICCAI 2022.

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Table of contents (72 papers)

  1. Front Matter

    Pages i-xli
    Download chapter PDF

  2. Image-Guided Interventions and Surgery

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

      • Jann-Ole Henningson, Marc Stamminger, Michael Döllinger, Marion Semmler
      Pages 3-12

    3. Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency

      • Baoru Huang, Jian-Qing Zheng, Anh Nguyen, Chi Xu, Ioannis Gkouzionis, Kunal Vyas et al.
      Pages 13-22

    4. USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

      • Kyungsu Lee, Jaeseung Yang, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, Jae Youn Hwang
      Pages 23-32

    5. Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer

      • Lalithkumar Seenivasan, Mobarakol Islam, Adithya K Krishna, Hongliang Ren
      Pages 33-43

    6. DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

      • Xi-Yao Ma, Shi-Qi Liu, Xiao-Liang Xie, Xiao-Hu Zhou, Zeng-Guang Hou, Yan-Jie Zhou et al.
      Pages 44-53

    7. A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

      • Meng Song, Shi-Qi Liu, Xiao-Liang Xie, Xiao-Hu Zhou, Zeng-Guang Hou, Yan-Jie Zhou et al.
      Pages 54-63

    8. Hand Hygiene Quality Assessment Using Image-to-Image Translation

      • Chaofan Wang, Kangning Yang, Weiwei Jiang, Jing Wei, Zhanna Sarsenbayeva, Jorge Goncalves et al.
      Pages 64-73

    9. An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

      • Guillaume Mestdagh, Stéphane Cotin
      Pages 74-83

    10. PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection

      • Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli, Mehrdad Salehi, Nassir Navab, Wolfgang Wein et al.
      Pages 84-93

    11. Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

      • Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
      Pages 94-103

    12. USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding

      • Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
      Pages 104-114

    13. Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

      • Meng Zheng, Benjamin Planche, Xuan Gong, Fan Yang, Terrence Chen, Ziyan Wu
      Pages 115-125

    14. SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

      • Shuai Zhang, Liang Zhao, Shoudong Huang, Hua Wang, Qi Luo, Qi Hao
      Pages 126-135

    15. Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network

      • Yejee Shin, Taejoon Eo, Hyeongseop Rha, Dong Jun Oh, Geonhui Son, Jiwoong An et al.
      Pages 136-146

    16. Mixed Reality and Deep Learning for External Ventricular Drainage Placement: A Fast and Automatic Workflow for Emergency Treatments

      • Maria Chiara Palumbo, Simone Saitta, Marco Schiariti, Maria Chiara Sbarra, Eleonora Turconi, Gabriella Raccuia et al.
      Pages 147-156

    17. Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

      • Chi Xu, Alfie Roddan, Joseph Davids, Alistair Weld, Haozheng Xu, Stamatia Giannarou
      Pages 157-166

    18. Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

      • Felix Meister, Chloé Audigier, Tiziano Passerini, Èric Lluch, Viorel Mihalef, Andreas Maier et al.
      Pages 167-176

    19. Multi-task Video Enhancement for Dental Interventions

      • Efklidis Katsaros, Piotr K. Ostrowski, Krzysztof Włódarczak, Emilia Lewandowska, Jacek Ruminski, Damian Siupka-Mróz et al.
      Pages 177-187
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

  9. Computational Biomechanics for Medicine

  10. Computational Biomechanics for Medicine

Keywords

About this book

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.
The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;

Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;

Part III: Breast imaging; colonoscopy; computer aided diagnosis;

Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I;

Part V: Image segmentation II; integration of imaging with non-imaging biomarkers;

Part VI: Image registration; image reconstruction;

Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization;

Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

 




Editors and Affiliations

  • Rochester Institute of Technology, Rochester, USA

    Linwei Wang

  • Chinese University of Hong Kong, Hong Kong, Hong Kong

    Qi Dou

  • University of Virginia, Charlottesville, USA

    P. Thomas Fletcher

  • National Center for Tumor Diseases (NCT/UCC), Dresden, Germany

    Stefanie Speidel

  • Case Western Reserve University, Cleveland, USA

    Shuo Li

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