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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 I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11383)

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 (47 papers)

  1. Front Matter

    Pages I-XXI
  2. Invited Talk

    1. Front Matter

      Pages 1-1
    2. Multimodal Patho-Connectomics of Brain Injury

      • Ragini Verma, Yusuf Osmanlioglu, Abdol Aziz Ould Ismail
      Pages 3-14
    3. CT Brain Perfusion: A Clinical Perspective

      • Arsany Hakim, Roland Wiest
      Pages 15-24
    4. Adverse Effects of Image Tiling on Convolutional Neural Networks

      • G. Anthony Reina, Ravi Panchumarthy
      Pages 25-36
  3. Brain Lesion Image Analysis

    1. Front Matter

      Pages 45-45
    2. MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis

      • Alessandra M. Valcarcel, Kristin A. Linn, Fariha Khalid, Simon N. Vandekar, Shahamat Tauhid, Theodore D. Satterthwaite et al.
      Pages 47-56
    3. CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels

      • Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel
      Pages 57-69
    4. Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation

      • Cong Liu, Weixin Si, Yinling Qian, Xiangyun Liao, Qiong Wang, Yong Guo et al.
      Pages 81-91
    5. Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

      • Micah J. Sheller, G. Anthony Reina, Brandon Edwards, Jason Martin, Spyridon Bakas
      Pages 92-104
    6. Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

      • Xu Han, Spyridon Bakas, Roland Kwitt, Stephen Aylward, Hamed Akbari, Michel Bilello et al.
      Pages 105-114
    7. Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-Specific Interactive Refinement

      • Ashis Kumar Dhara, Kalyan Ram Ayyalasomayajula, Erik Arvids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson et al.
      Pages 115-122
    8. Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination

      • Abdol Aziz Ould Ismail, Drew Parker, Moises Hernandez-Fernandez, Steven Brem, Simon Alexander, Ofer Pasternak et al.
      Pages 123-131
    9. Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI

      • Shahab Aslani, Michael Dayan, Vittorio Murino, Diego Sona
      Pages 132-141
    10. Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis

      • Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran et al.
      Pages 142-151
    11. Detection of Midline Brain Abnormalities Using Convolutional Neural Networks

      • Aleix Solanes, Joaquim Radua, Laura Igual
      Pages 152-160
    12. Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

      • Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
      Pages 161-169
    13. Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets

      • Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
      Pages 170-179

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