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© 2021

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

6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I

  • Alessandro Crimi
  • Spyridon Bakas
Conference proceedings BrainLes 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12658)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 12658)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Invited Papers

  3. Brain Lesion Image Analysis

    1. Front Matter
      Pages 39-39
    2. Yanlin Liu, Xiangzhu Zeng, Chuyang Ye
      Pages 60-69
    3. Lorenza Brusini, Ilaria Boscolo Galazzo, Muge Akinci, Federica Cruciani, Marco Pitteri, Stefano Ziccardi et al.
      Pages 70-79
    4. Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
      Pages 80-91
    5. Lucas Martin, Julie Josse, Bertrand Thirion
      Pages 92-100
    6. Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
      Pages 101-110
    7. Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim et al.
      Pages 111-121
    8. Hui Yu, Wenjun Xia, Yan Liu, Xuejun Gu, Jiliu Zhou, Yi Zhang
      Pages 122-132
    9. Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima, CENTER-TBI Participants and Investigators
      Pages 133-142
    10. Tejas Sudharshan Mathai, Yi Wang, Nathan Cross
      Pages 143-156
    11. Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang et al.
      Pages 157-167
    12. Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Giulia Preti, Dimitri Van De Ville, Emmanuel Carrera
      Pages 168-180
  4. Brain Tumor Segmentation

    1. Front Matter
      Pages 181-181

Other volumes

  1. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I
  2. 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part II

About these proceedings

Introduction

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.*

The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions).

*The workshop and challenges were held virtually.


Keywords

artificial intelligence automatic segmentations bioinformatics brain lesion cad computer vision glioblastoma glioma image analysis image processing image segmentation machine learning medical images network protocols neural networks pattern recognition segmentation methods software design software engineering traumatic brain injury

Editors and affiliations

  1. 1.University of ZurichZurichSwitzerland
  2. 2.University of PennsylvaniaPhiladelphiaUSA

Bibliographic information

  • Book Title Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
  • Book Subtitle 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I
  • Editors Alessandro Crimi
    Spyridon Bakas
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-030-72084-1
  • Copyright Information Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-030-72083-4
  • eBook ISBN 978-3-030-72084-1
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XX, 529
  • Number of Illustrations 17 b/w illustrations, 180 illustrations in colour
  • Topics Image Processing and Computer Vision
    Machine Learning
    Pattern Recognition
    Computational Biology/Bioinformatics
  • Buy this book on publisher's site