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  • Conference proceedings
  • © 2019

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

4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11384)

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 2018.

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Table of contents (45 papers)

  1. Front Matter

    Pages I-XXI
  2. Brain Tumor Image Segmentation

    1. Front Matter

      Pages 1-1
    2. Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge

      • Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof
      Pages 3-12
    3. Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets

      • Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa
      Pages 13-24
    4. Multimodal Brain Tumor Segmentation Using Cascaded V-Nets

      • Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi
      Pages 49-60
    5. Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation

      • Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren
      Pages 61-72
    6. Extending 2D Deep Learning Architectures to 3D Image Segmentation Problems

      • Alberto Albiol, Antonio Albiol, Francisco Albiol
      Pages 73-82
    7. Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer

      • Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
      Pages 94-104
    8. Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function

      • Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud
      Pages 116-127
    9. Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

      • Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W. Chen, B. S. Manjunath
      Pages 128-141
    10. Segmentation of Brain Tumors Using DeepLabv3+

      • Ahana Roy Choudhury, Rami Vanguri, Sachin R. Jambawalikar, Piyush Kumar
      Pages 154-167
    11. Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder

      • Yan Hu, Xiang Liu, Xin Wen, Chen Niu, Yong Xia
      Pages 168-177
    12. Glioma Segmentation with Cascaded UNet

      • Dmitry Lachinov, Evgeny Vasiliev, Vadim Turlapov
      Pages 189-198
    13. Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure

      • Elodie Puybareau, Guillaume Tochon, Joseph Chazalon, Jonathan Fabrizio
      Pages 199-209

Other Volumes

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

About this book

This two-volume set LNCS 11383 and 11384  constitutes revised selected papers from the 4th International MICCAI Brainlesion Workshop, BrainLes 2018, as well as the International Multimodal Brain Tumor Segmentation, BraTS, Ischemic Stroke Lesion Segmentation, ISLES,  MR Brain Image Segmentation, MRBrainS18, Computational Precision Medicine, CPM, and  Stroke Workshop on Imaging and Treatment Challenges, SWITCH, which were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Granada, Spain, in September 2018.
The 92 papers presented in this volume were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; ischemic stroke lesion image segmentation; grand challenge on MR brain segmentation; computational precision medicine; stroke workshop on imaging and treatment challenges.

Editors and Affiliations

  • University Hospital of Zurich, Zürich, Switzerland

    Alessandro Crimi

  • University of Pennsylvania, Philadelphia, USA

    Spyridon Bakas

  • University Medical Center Utrecht, Utrecht, The Netherlands

    Hugo Kuijf

  • National Cancer Institute, Bethesda, USA

    Farahani Keyvan

  • University of Bern, Bern, Switzerland

    Mauricio Reyes

  • Erasmus University Medical Center, Rotterdam, The Netherlands

    Theo van Walsum

Bibliographic Information

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