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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 VIII

  • 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 12908)

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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Table of contents (66 papers)

  1. Front Matter

    Pages i-xxxviii
    Download chapter PDF

  2. Clinical Applications - Ophthalmology

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition

      • Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond et al.
      Pages 3-12

    3. Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

      • Shuai Yu, Yonghuai Liu, Jiong Zhang, Jianyang Xie, Yalin Zheng, Jiang Liu et al.
      Pages 13-23

    4. Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

      • Yifan Yang, Huihui Fang, Qing Du, Fei Li, Xiulan Zhang, Mingkui Tan et al.
      Pages 24-33

    5. RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network

      • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker
      Pages 34-44

    6. MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

      • Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He et al.
      Pages 45-54

    7. Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification

      • Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu et al.
      Pages 55-64

    8. BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

      • Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng et al.
      Pages 65-75

    9. LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos

      • Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann
      Pages 76-86

    10. I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining

      • Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang
      Pages 87-96

    11. Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition

      • Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao
      Pages 97-107

    12. Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

      • Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang et al.
      Pages 108-118

  3. Computational (Integrative) Pathology

    1. Front Matter

      Pages 119-119
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    2. GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images

      • Zhiyang Gao, Jun Shi, Jun Wang
      Pages 121-131

    3. Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network

      • Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu et al.
      Pages 132-142

    4. Prototypical Models for Classifying High-Risk Atypical Breast Lesions

      • Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Rebekah Jenkins, Olga Navolotskaia, Gloria Carter et al.
      Pages 143-152

    5. Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation

      • Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li et al.
      Pages 153-163

    6. Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

      • Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu
      Pages 164-174

    7. A Computational Geometry Approach for Modeling Neuronal Fiber Pathways

      • S. Shailja, Angela Zhang, B. S. Manjunath
      Pages 175-185
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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

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

  • Book Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

  • Book Subtitle: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VIII

  • Editors: Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-87237-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-87236-6Published: 24 September 2021

  • eBook ISBN: 978-3-030-87237-3Published: 23 September 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXVIII, 704

  • Number of Illustrations: 14 b/w illustrations, 213 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Health Informatics

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