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  • Conference proceedings
  • © 2015

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

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

Editors:

  1. Nassir Navab

    1. TU München, Garching, Germany

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  2. Joachim Hornegger

    1. Lehrstuhl Informatik 5, University of Erlangen-Nuremberg, Erlangen, Germany

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  3. William M. Wells

    1. Brigham and Women's Hospital, Boston, USA

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  4. Alejandro Frangi

    1. University of Sheffield, Sheffield, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9350)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention

Conference proceedings info: MICCAI 2015.

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Table of contents (84 papers)

  1. Front Matter

    Pages I-XXVII
    PDF

  2. Quantitative Image Analysis II: Classification, Detection, Features, and Morphology

    1. Front Matter

      Pages 1-1
      PDF

    2. Computer-Aided Detection and Quantification of Intracranial Aneurysms

      • Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin
      Pages 3-10

    3. Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso

      • Xiangyu Chen, Yanwu Xu, Shuicheng Yan, Tat-Seng Chua, Damon Wing Kee Wong, Tien Yin Wong et al.
      Pages 11-19

    4. Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning

      • Jiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen
      Pages 20-27

    5. Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM

      • Ehab Essa, Xianghua Xie, Jonathan-Lee Jones
      Pages 28-35

    6. Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming

      • Christian Payer, Michael Pienn, Zoltán Bálint, Andrea Olschewski, Horst Olschewski, Martin Urschler
      Pages 36-43

    7. Automatic Dual-View Mass Detection in Full-Field Digital Mammograms

      • Guy Amit, Sharbell Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick
      Pages 44-52

    8. Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection

      • Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
      Pages 53-61

    10. Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks

      • Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu et al.
      Pages 70-77

    11. MCI Identification by Joint Learning on Multiple MRI Data

      • Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller et al.
      Pages 78-85

    12. Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance

      • Yue Gao, Ehsan Adeli-M., Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen
      Pages 86-93

    13. Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images

      • Angshuman Paul, Anisha Dey, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Vijaya Tourani
      Pages 94-102

    14. HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection

      • Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi et al.
      Pages 103-110

    15. Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations

      • Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Christoph Hennersperger, Federico Tombari, Amit Shah et al.
      Pages 111-118

    16. Improved Parkinson’s Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors

      • Luis Salamanca, Nikos Vlassis, Nico Diederich, Florian Bernard, Alexander Skupin
      Pages 119-126

    17. Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee

      • Jessie Thomson, Terence O’Neill, David Felson, Tim Cootes
      Pages 127-134

    18. Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases

      • Sepideh Mesbah, Sailesh Conjeti, Ajayrama Kumaraswamy, Philipp Rautenberg, Nassir Navab, Amin Katouzian
      Pages 135-143

    19. Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM

      • Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
      Pages 144-151
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Other Volumes

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

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

  3. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

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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. 

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Keywords

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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

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Bibliographic Information

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Buy it now

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

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