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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I

Conference proceedings info: MICCAI 2015.

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Table of contents (88 papers)

  1. Front Matter

    Pages I-XLVII
  2. Advanced MRI: Diffusion, fMRI, DCE

    1. Front Matter

      Pages 1-1
    2. Automatic Segmentation of Renal Compartments in DCE-MRI Images

      • Xin Yang, Hung Le Minh, Tim Cheng, Kyung Hyun Sung, Wenyu Liu
      Pages 3-11
    3. Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners

      • Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki et al.
      Pages 12-19
    4. Track Filtering via Iterative Correction of TDI Topology

      • Dogu Baran Aydogan, Yonggang Shi
      Pages 20-27
    5. Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes

      • Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser
      Pages 28-36
    6. q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans

      • Vladimir Golkov, Alexey Dosovitskiy, Philipp Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch et al.
      Pages 37-44
    7. A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting

      • Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein
      Pages 45-52
    8. Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation

      • M. Reisert, B. Dihtal, E. Kellner, H. Skibbe, C. Kaller
      Pages 53-60
    9. An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes

      • Hans Knutsson, Magnus Herberthson, Carl-Fredrik Westin
      Pages 61-68
    10. Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances

      • Colin J. Brown, Steven P. Miller, Brian G. Booth, Kenneth J. Poskitt, Vann Chau, Anne R. Synnes et al.
      Pages 69-76
    11. Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors

      • Ni Liu, Ahmed Soliman, Georgy Gimel’farb, Ayman El-Baz
      Pages 77-84
    12. Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis

      • Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
      Pages 85-92
    13. Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination

      • Yao Wu, Wei Yang, Lijun Lu, Zhentai Lu, Liming Zhong, Ru Yang et al.
      Pages 93-100
    14. Robust Automated White Matter Pathway Reconstruction for Large Studies

      • Jalmar Teeuw, Matthan W. A. Caan, Silvia D. Olabarriaga
      Pages 101-108
    15. Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes

      • Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche
      Pages 109-116
    16. Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI

      • Pramod Kumar Pisharady, Julio M. Duarte-Carvajalino, Stamatios N. Sotiropoulos, Guillermo Sapiro, Christophe Lenglet
      Pages 117-124
    17. Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder

      • Xiangyang Wang, Tianhao Zhang, Tiffany M. Chaim, Marcus V. Zanetti, Christos Davatzikos
      Pages 125-132
    18. Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference

      • Xi Jiang, Tuo Zhang, Qinghua Zhao, Jianfeng Lu, Lei Guo, Tianming Liu
      Pages 133-141

About this book

The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions. 

Editors and Affiliations

  • TU München, Garching, Germany

    Nassir Navab

  • Lehrstuhl Informatik 5, University of Erlangen-Nuremberg, Erlangen, Germany

    Joachim Hornegger

  • Brigham and Women's Hospital, Boston, USA

    William M. Wells

  • University of Sheffield, Sheffield, United Kingdom

    Alejandro Frangi

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as 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