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© 2018

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III

  • Alejandro F. Frangi
  • Julia A. Schnabel
  • Christos Davatzikos
  • Carlos Alberola-López
  • Gabor Fichtinger
Conference proceedings MICCAI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11072)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11072)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging

    1. Front Matter
      Pages 1-1
    2. Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
      Pages 3-11
    3. Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap
      Pages 12-19
    4. Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau, Onur Afacan, Simon K. Warfield, Ali Gholipour
      Pages 28-35
    5. Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein
      Pages 36-44
    6. Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap
      Pages 45-52
  3. Diffusion Tensor Imaging and Functional MRI: Diffusion Weighted Imaging

    1. Front Matter
      Pages 53-53
    2. Kanil Patel, Samuel Groeschel, Thomas Schultz
      Pages 55-62
    3. Aymeric Stamm, Olivier Commowick, Alessandra Menafoglio, Simon K. Warfield
      Pages 72-80
    4. Stefano Pedemonte, Bernardo Bizzo, Stuart Pomerantz, Neil Tenenholtz, Bradley Wright, Mark Walters et al.
      Pages 81-88
    5. Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu
      Pages 89-97
    6. Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze
      Pages 98-106
    7. Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva et al.
      Pages 107-115
    8. Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi
      Pages 116-124
  4. Diffusion Tensor Imaging and Functional MRI: Functional MRI

    1. Front Matter
      Pages 125-125
    2. Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen
      Pages 136-144

Other volumes

  1. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I
  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
    21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III
  3. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II
  4. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV
  5. Solid and Fluid Mechanics for the Benefit of Patients

About these proceedings

Introduction

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.

The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications.
Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.
Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications. 

Keywords

Artificial intelligence Classification Computer vision Estimation Image analysis Image enhancement Image processing Image quality Image reconstruction Image segmentation Imaging systems Medical images Medical imaging Neural networks Pattern recognition Reconstruction Segmentation methods Semantics Signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.University of LeedsLeedsUK
  2. 2.King’s College LondonLondonUK
  3. 3.University of PennsylvaniaPhiladelphiaUSA
  4. 4.Universidad de ValladolidValladolidSpain
  5. 5.Queen’s UniversityKingstonCanada

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