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© 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

  • Alessandro Crimi
  • Spyridon Bakas
  • Hugo Kuijf
  • Farahani Keyvan
  • Mauricio Reyes
  • Theo van Walsum
Conference proceedings BrainLes 2018

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

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11383)

Table of contents

  1. Front Matter
    Pages I-XXI
    PDF

  2. Invited Talk

    1. Front Matter
      Pages 1-1
      PDF
    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
    5. An Update on Machine Learning in Neuro-Oncology Diagnostics
      Thomas C. Booth
      Pages 37-44

  3. Brain Lesion Image Analysis

    1. Front Matter
      Pages 45-45
      PDF
    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. Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
      Tony C. W. Mok, Albert C. S. Chung
      Pages 70-80
    5. 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
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. Detection of Midline Brain Abnormalities Using Convolutional Neural Networks
      Aleix Solanes, Joaquim Radua, Laura Igual
      Pages 152-160
    13. Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
      Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
      Pages 161-169
    14. 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
    4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I
  2. 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

About these proceedings

Introduction

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.

Keywords

artificial intelligence automatic segmentations classification computer architecture computer vision cross-validation decision trees estimation image analysis image processing image reconstruction image segmentation machine learning medical images medical imaging neural networks pattern recognition segmentation methods Support Vector Machines (SVM) wireless networks

Editors and affiliations

  1. 1.University Hospital of ZurichZürichSwitzerland
  2. 2.University of PennsylvaniaPhiladelphiaUSA
  3. 3.University Medical Center UtrechtUtrechtThe Netherlands
  4. 4.National Cancer InstituteBethesdaUSA
  5. 5.University of BernBernSwitzerland
  6. 6.Erasmus University Medical CenterRotterdamThe Netherlands

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