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  • Conference proceedings
  • © 2022

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I

  • This book is open access, which means that you have free and unlimited access.

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12962)

Conference series link(s): BrainLes: International MICCAI Brainlesion Workshop

Conference proceedings info: BrainLes 2021.

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Softcover Book USD 159.99
Price excludes VAT (USA)

Table of contents (41 papers)

  1. Front Matter

    Pages i-xxi
  2. Invited Papers

    1. Front Matter

      Pages 1-1
    2. A Review of Medical Federated Learning: Applications in Oncology and Cancer Research

      • Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris
      Pages 3-24Open Access
    3. Opportunities and Challenges for Deep Learning in Brain Lesions

      • Jay Patel, Ken Chang, Syed Rakin Ahmed, Ikbeom Jang, Jayashree Kalpathy-Cramer
      Pages 25-36
  3. Brain Lesions

    1. Front Matter

      Pages 37-37
    2. CA-Net: Collaborative Attention Network for Multi-modal Diagnosis of Gliomas

      • Baocai Yin, Hu Cheng, Fengyan Wang, Zengfu Wang
      Pages 52-62
    3. Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI

      • Felix Meissen, Georgios Kaissis, Daniel Rueckert
      Pages 63-74
    4. Small Lesion Segmentation in Brain MRIs with Subpixel Embedding

      • Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong et al.
      Pages 75-87
    5. Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation

      • Guillaume Pelluet, Mira Rizkallah, Oscar Acosta, Diana Mateus
      Pages 88-99
    6. Evaluating Glioma Growth Predictions as a Forward Ranking Problem

      • Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann et al.
      Pages 100-111
    7. Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem

      • Martin Žukovec, Lara Dular, Žiga Špiclin
      Pages 112-123
    8. Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks

      • Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
      Pages 140-150
    9. Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

      • Siddhesh P. Thakur, Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev et al.
      Pages 151-167
  4. BraTS

    1. Front Matter

      Pages 169-169
    2. Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation

      • Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati
      Pages 182-193
    3. BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance

      • Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
      Pages 194-203
    4. Combining Global Information with Topological Prior for Brain Tumor Segmentation

      • Hua Yang, Zhiqiang Shen, Zhaopei Li, Jinqing Liu, Jinchao Xiao
      Pages 204-215

Other Volumes

  1. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

About this book

This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually.

This is an open access book.


  • artificial intelligence
  • bioinformatics
  • computer science
  • computer systems
  • computer vision
  • education
  • image analysis
  • image processing
  • image segmentation
  • learning
  • machine learning
  • medical images
  • neural networks
  • pattern recognition
  • segmentation methods
  • software design
  • software engineering
  • software quality
  • validation
  • verification and validation
  • Open Access

Editors and Affiliations

  • Sano Centre for Computational Personaliz, Kraków, Poland

    Alessandro Crimi

  • University of Pennsylvania, Philadelphia, USA

    Spyridon Bakas

Bibliographic Information

  • Book Title: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

  • Book Subtitle: 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I

  • Editors: Alessandro Crimi, Spyridon Bakas

  • Series Title: Lecture Notes in Computer Science

  • DOI:

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-08998-5Published: 22 July 2022

  • eBook ISBN: 978-3-031-08999-2Published: 21 July 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXI, 489

  • Number of Illustrations: 37 b/w illustrations, 134 illustrations in colour

  • Topics: Computer Vision, Artificial Intelligence, Computer Engineering and Networks, Computer and Information Systems Applications

Buying options

Softcover Book USD 159.99
Price excludes VAT (USA)