Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011

14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III

  • Gabor Fichtinger
  • Anne Martel
  • Terry Peters
Conference proceedings MICCAI 2011

DOI: 10.1007/978-3-642-23626-6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6893)

Table of contents (82 papers)

  1. Front Matter
  2. Computer Aided Diagnosis and Machine Learning I

    1. Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis
      Yanwu Xu, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Y. Cheung et al.
      Pages 1-8
    2. Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images
      Maria A. Zuluaga, Don Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz
      Pages 9-16
    3. Regularized Tensor Factorization for Multi-Modality Medical Image Classification
      Nematollah Batmanghelich, Aoyan Dong, Ben Taskar, Christos Davatzikos
      Pages 17-24
    4. Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography
      B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega-Higuera et al.
      Pages 25-32
    5. Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries
      Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff
      Pages 41-48
    6. A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images
      Antonio Criminisi, Krishna Juluru, Sayan Pathak
      Pages 49-57
    7. Classification of Alzheimer’s Disease Using a Self-Smoothing Operator
      Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu, the Alzheimers Disease Neuroimaging Initiative
      Pages 58-65
    8. An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification
      S. Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang
      Pages 66-74
    9. Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach
      Meizhu Liu, Le Lu, Jinbo Bi, Vikas Raykar, Matthias Wolf, Marcos Salganicoff
      Pages 75-82
    10. Targeted Optical Biopsies for Surveillance Endoscopies
      Selen Atasoy, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab
      Pages 83-90
    11. Focal Biologically Inspired Feature for Glaucoma Type Classification
      Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran et al.
      Pages 91-98
    12. Assessment of Regional Myocardial Function via Statistical Features in MR Images
      Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela et al.
      Pages 107-114
  3. Computer Aided Diagnosis and Machine Learning II

    1. Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression
      Hua Wang, Feiping Nie, Heng Huang, Shannon Risacher, Andrew J. Saykin, Li Shen et al.
      Pages 115-123
    2. Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions
      Zhao Liu, Lyndon Smith, Jiuai Sun, Melvyn Smith, Robert Warr
      Pages 124-132
    3. Identification of Paediatric Tuberculosis from Airway Shape Features
      Benjamin Irving, Pierre Goussard, Robert Gie, Andrew Todd-Pokropek, Paul Taylor
      Pages 133-140
    4. Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endoscopy
      Philip W. Mewes, Dominik Neumann, Oleg Licegevic, Johannes Simon, Aleksandar Lj. Juloski, Elli Angelopoulou
      Pages 141-148
    5. Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer’s Disease
      Pierrick Coupé, Simon F. Eskildsen, José V. Manjón, Vladimir Fonov, D. Louis Collins
      Pages 149-157

Other volumes

  1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
    14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I
  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
    14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II
  3. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
    14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III

About these proceedings

Introduction

The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed proceedings of the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 819 submissions for presentation in three volumes. The third volume includes 82 papers organized in topical sections on computer-aided diagnosis and machine learning, and segmentation.

Keywords

bioinformatics computer aided diagnosis image guided surgery medical image analysis visual simulation

Editors and affiliations

  • Gabor Fichtinger
    • 1
  • Anne Martel
    • 2
  • Terry Peters
    • 3
  1. 1.Queen’s UniversityKingstonCanada
  2. 2.Sunnybrook HospitalTorontoCanada
  3. 3.Robarts Research InstituteLondonCanada

Bibliographic information

  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-23625-9
  • Online ISBN 978-3-642-23626-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349