Skip to main content
SpringerLink
Log in
Book cover
  • Conference proceedings
  • © 2020

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI

Editors:

  1. Anne L. Martel

    1. University of Toronto, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Purang Abolmaesumi

    1. The University of British Columbia, Vancouver, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Danail Stoyanov

    1. University College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Diana Mateus

    1. École Centrale de Nantes, Nantes, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Maria A. Zuluaga

    1. EURECOM, Biot, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. S. Kevin Zhou

    1. Chinese Academy of Sciences, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Daniel Racoceanu

    1. Sorbonne University, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Leo Joskowicz

    1. The Hebrew University of Jerusalem, Jerusalem, Israel

    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 12266)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention

Conference proceedings info: MICCAI 2020.

Sections

Buy it now

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
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

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

Table of contents (79 papers)

  1. Front Matter

    Pages i-xxxvii
    PDF

  2. Angiography and Vessel Analysis

    1. Front Matter

      Pages 1-1
      PDF

    2. Lightweight Double Attention-Fused Networks for Intraoperative Stent Segmentation

      • Yan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Gui-Bin Bian, Shi-Qi Liu
      Pages 3-13

    3. TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling

      • Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra
      Pages 14-23

    4. Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

      • Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou et al.
      Pages 24-34

    5. Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography

      • Yuyang Zhang, Gongning Luo, Wei Wang, Kuanquan Wang
      Pages 35-44

    6. Automatic CAD-RADS Scoring Using Deep Learning

      • Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André et al.
      Pages 45-54

    8. Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network

      • Hao Zhang, Likun Xia, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu et al.
      Pages 66-75

    9. Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement

      • Li Chen, Thomas Hatsukami, Jenq-Neng Hwang, Chun Yuan
      Pages 76-85

    10. Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring

      • Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner
      Pages 86-96

    11. ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment

      • Romina Muñoz, Ana Paula Narata, Ignacio Larrabide
      Pages 97-105

    12. JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation

      • Yifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke et al.
      Pages 106-116

    13. Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images

      • Jianyang Xie, Yonghuai Liu, Yalin Zheng, Pan Su, Yan Hu, Jianlong Yang et al.
      Pages 117-127

    14. Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification

      • Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin
      Pages 128-137

  3. Breast Imaging

    1. Front Matter

      Pages 139-139
      PDF

    2. Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities

      • Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
      Pages 141-149

    3. 2D X-Ray Mammogram and 3D Breast MRI Registration

      • Hossein Soleimani, Oleg V. Michailovich
      Pages 150-159

    4. A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound

      • Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan et al.
      Pages 160-170

    5. Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images

      • Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang
      Pages 171-180
Back to top

Other Volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

  8. Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data

Back to top

About this book

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

Back to top

Keywords

Back to top

Editors and Affiliations

  • 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

Back to top

Bibliographic Information

Back to top

Publish with us

Policies and ethics

Back to top

Societies and partnerships

Access via your institution

Buy it now

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
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

Search

Navigation