Skip to main content
SpringerLink
Log in

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Philippe C. Cattin

    1. University of Basel, Allschwil, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Stéphane Cotin

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Nicolas Padoy

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Stefanie Speidel

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Yefeng Zheng

    1. Tencent Jarvis Lab, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Caroline Essert

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

    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 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.

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

Access this book

Log in via an institution
eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
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

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
Back to top

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

Keywords

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.

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

Bibliographic Information

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation