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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part V

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Marleen de Bruijne

    1. Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands

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  2. Philippe C. Cattin

    1. University of Basel, Allschwil, Switzerland

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  3. Stéphane Cotin

    1. Inria Nancy Grand Est, Villers-lès-Nancy, France

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  4. Nicolas Padoy

    1. ICube, Université de Strasbourg, CNRS, Strasbourg, France

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  5. Stefanie Speidel

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

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  6. Yefeng Zheng

    1. Tencent Jarvis Lab, Shenzhen, China

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  7. Caroline Essert

    1. ICube, Université de Strasbourg, CNRS, Strasbourg, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12905)

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 2021.

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About this book

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*

The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: image segmentation

Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning

Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty

Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality

Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction

Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular

Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology

Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound

*The conference was held virtually.

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Keywords

Table of contents (80 papers)

  1. Front Matter

    Pages i-xxxviii
    Download chapter PDF

  2. Computer Aided Diagnosis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search

      • Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang et al.
      Pages 3-12

    3. Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference

      • Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang et al.
      Pages 13-22

    4. CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

      • Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
      Pages 23-32

    5. Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images

      • Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin et al.
      Pages 33-42

    6. DAE-GCN: Identifying Disease-Related Features for Disease Prediction

      • Churan Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
      Pages 43-52

    7. Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

      • Kun Chen, Yuanfan Guo, Canqian Yang, Yi Xu, Rui Zhang, Chunxiao Li et al.
      Pages 53-63

    8. Multiple Meta-model Quantifying for Medical Visual Question Answering

      • Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen
      Pages 64-74

    9. mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

      • Jianfeng Zhao, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen et al.
      Pages 75-84

    10. You only Learn Once: Universal Anatomical Landmark Detection

      • Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
      Pages 85-95

    11. A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification

      • Xinxin Shan, Ying Wen, Qingli Li, Yue Lu, Haibin Cai
      Pages 96-106

    12. Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions

      • Lixin Ren, Shang Wan, Yi Wei, Xiaowei He, Bin Song, Enhua Wu
      Pages 107-116

    13. A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

      • Fei Lyu, Baoyao Yang, Andy J. Ma, Pong C. Yuen
      Pages 117-127

    14. Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

      • Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon Ho Shin, Johan W. Verjans et al.
      Pages 128-140

    15. Conditional Training with Bounding Map for Universal Lesion Detection

      • Han Li, Long Chen, Hu Han, Ying Chi, S. Kevin Zhou
      Pages 141-152

    16. Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

      • Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen
      Pages 153-162

    17. Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

      • Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng
      Pages 163-173

    18. Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI

      • Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
      Pages 174-184

    19. Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss

      • Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu
      Pages 185-194
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  9. Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis

Editors and Affiliations

  • Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands

    Marleen de Bruijne

  • University of Basel, Allschwil, Switzerland

    Philippe C. Cattin

  • Inria Nancy Grand Est, Villers-lès-Nancy, France

    Stéphane Cotin

  • ICube, Université de Strasbourg, CNRS, Strasbourg, France

    Nicolas Padoy, Caroline Essert

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

    Stefanie Speidel

  • Tencent Jarvis Lab, Shenzhen, China

    Yefeng Zheng

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