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  • Conference proceedings
  • © 2020

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

5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11993)

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

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

Conference proceedings info: BrainLes 2019.

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xvi
  2. Brain Tumor Image Segmentation

    1. Front Matter

      Pages 1-1
    2. Brain Tumor Segmentation Using Attention-Based Network in 3D MRI Images

      • Xiaowei Xu, Wangyuan Zhao, Jun Zhao
      Pages 3-13
    3. Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction

      • Subhashis Banerjee, Harkirat Singh Arora, Sushmita Mitra
      Pages 37-49
    4. Brain Tumor Segmentation Based on Attention Mechanism and Multi-model Fusion

      • Xutao Guo, Chushu Yang, Ting Ma, Pengzheng Zhou, Shangfeng Lu, Nan Ji et al.
      Pages 50-60
    5. Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction

      • Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai
      Pages 61-72
    6. Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning

      • Linmin Pei, Lasitha Vidyaratne, M. Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin
      Pages 73-81
    7. Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs

      • Andriy Myronenko, Ali Hatamizadeh
      Pages 82-89
    8. Brain Tumor Segmentation with Cascaded Deep Convolutional Neural Network

      • Ujjwal Baid, Nisarg A. Shah, Sanjay Talbar
      Pages 90-98
    9. Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI

      • Chandan Ganesh Bangalore Yogananda, Ben Wagner, Sahil S. Nalawade, Gowtham K. Murugesan, Marco C. Pinho, Baowei Fei et al.
      Pages 99-112
    10. 3D Automatic Brain Tumor Segmentation Using a Multiscale Input U-Net Network

      • S. Rosas González, T. Birgui Sekou, M. Hidane, C. Tauber
      Pages 113-123
    11. Semi-supervised Variational Autoencoder for Survival Prediction

      • Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
      Pages 124-134
    12. Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation

      • Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
      Pages 135-147
    13. Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

      • Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei et al.
      Pages 148-157
    14. Hybrid Labels for Brain Tumor Segmentation

      • Parvez Ahmad, Saqib Qamar, Seyed Raein Hashemi, Linlin Shen
      Pages 158-166
    15. Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival

      • Thibault Buatois, Élodie Puybareau, Guillaume Tochon, Joseph Chazalon
      Pages 167-178
    16. Detection and Segmentation of Brain Tumors from MRI Using U-Nets

      • Krzysztof Kotowski, Jakub Nalepa, Wojciech Dudzik
      Pages 179-190
    17. Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function

      • Nabila Abraham, Naimul Mefraz Khan
      Pages 191-198

Other Volumes

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

About this book

The two-volume set LNCS 11992 and 11993 constitutes the thoroughly refereed proceedings of the 5th International MICCAI Brainlesion Workshop, BrainLes 2019, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge, as well as the tutorial session on Tools Allowing Clinical Translation of Image Computing Algorithms (TACTICAL). These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Shenzhen, China, in October 2019.

The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (12 selected papers from 32 submissions); brain tumor image segmentation (57 selected papers from 102 submissions); combined MRI and pathology brain tumor classification (4 selected papers from 5 submissions); tools allowing clinical translation of image computing algorithms (2 selected papers from 3 submissions.)

Editors and Affiliations

  • University Hospital of Zurich, Zurich, Switzerland

    Alessandro Crimi

  • University of Pennsylvania, Philadelphia, USA

    Spyridon Bakas

Bibliographic Information

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

  • Book Subtitle: 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part II

  • Editors: Alessandro Crimi, Spyridon Bakas

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-46643-5

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-46642-8Published: 17 May 2020

  • eBook ISBN: 978-3-030-46643-5Published: 19 May 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 398

  • Number of Illustrations: 26 b/w illustrations, 148 illustrations in colour

  • Topics: Image Processing and Computer Vision, Machine Learning, Computer Applications, Pattern Recognition, Computing Milieux

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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