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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I

  • Conference proceedings
  • © 2014

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Editors:
  1. Polina Golland

    1. MIT CSAIL, Cambridge, USA

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  2. Nobuhiko Hata

    1. Department of Radiology, Brigham and Women’s Hospital, Boston, USA

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  3. Christian Barillot

    1. CNRS/Inria Research Unit Visages, IRISA, Rennes Cedex, France

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  4. Joachim Hornegger

    1. Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany

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  5. Robert Howe

    1. Harvard School of Engineering and Applied Sciences, Cambridge, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8673)

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

Included in the following conference series:

Conference proceedings info: MICCAI 2014.

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Table of contents (101 papers)

  1. Front Matter

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  2. Microstructure Imaging

    1. Leveraging Random Forests for Interactive Exploration of Large Histological Images

      • Loïc Peter, Diana Mateus, Pierre Chatelain, Noemi Schworm, Stefan Stangl, Gabriele Multhoff et al.
      Pages 1-8

    2. Cell Detection and Segmentation Using Correlation Clustering

      • Chong Zhang, Julian Yarkony, Fred A. Hamprecht
      Pages 9-16

    3. Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes

      • Jan Funke, Julien N. P. Martel, Stephan Gerhard, Bjoern Andres, Dan C. Cireşan, Alessandro Giusti et al.
      Pages 17-24

    4. A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure

      • Maxime Taquet, Benoît Scherrer, Jurriaan M. Peters, Sanjay P. Prabhu, Simon K. Warfield
      Pages 25-32

    5. Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition

      • Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab
      Pages 33-40

    6. Cell-Sensitive Microscopy Imaging for Cell Image Segmentation

      • Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, Haohan Li
      Pages 41-48

    7. A Probabilistic Approach to Quantification of Melanin and Hemoglobin Content in Dermoscopy Images

      • Ali Madooei, Mark S. Drew
      Pages 49-56

    8. Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy

      • Mahnaz Maddah, Kevin Loewke
      Pages 57-64

    9. Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation

      • Aurélien Lucchi, Carlos Becker, Pablo Márquez Neila, Pascal Fua
      Pages 65-72

    10. Identifying Neutrophils in H&E Staining Histology Tissue Images

      • Jiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen
      Pages 73-80

    11. Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans

      • Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers
      Pages 81-88

    12. Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval

      • Marzieh Kohandani Tafresh, Nicolas Linard, Barbara André, Nicholas Ayache, Tom Vercauteren
      Pages 89-96

    13. Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation

      • Mustafa Gökhan Uzunbaş, Chao Chen, Dimitris Metaxsas
      Pages 97-105

  3. Image Reconstruction and Enhancement

    1. Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data

      • Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal
      Pages 106-113

    2. Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data

      • Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Pawel Markiewicz, Ninon Burgos, David Atkinson et al.
      Pages 114-121

    3. Deformable Reconstruction of Histology Sections Using Structural Probability Maps

      • Markus Müller, Mehmet Yigitsoy, Hauke Heibel, Nassir Navab
      Pages 122-129

    4. Optimally Stabilized PET Image Denoising Using Trilateral Filtering

      • Awais Mansoor, Ulas Bagci, Daniel J. Mollura
      Pages 130-137

    5. Real Time Dynamic MRI with Dynamic Total Variation

      • Chen Chen, Yeqing Li, Leon Axel, Junzhou Huang
      Pages 138-145

    6. Improved Reconstruction of 4D-MR Images by Motion Predictions

      • Christine Tanner, Golnoosh Samei, Gábor Székely
      Pages 146-153
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Other volumes

  1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

  3. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

Keywords

About this book

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the first volume have been organized in the following topical sections: microstructure imaging; image reconstruction and enhancement; registration; segmentation; intervention planning and guidance; oncology; and optical imaging.

Editors and Affiliations

  • MIT CSAIL, Cambridge, USA

    Polina Golland

  • Department of Radiology, Brigham and Women’s Hospital, Boston, USA

    Nobuhiko Hata

  • CNRS/Inria Research Unit Visages, IRISA, Rennes Cedex, France

    Christian Barillot

  • Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany

    Joachim Hornegger

  • Harvard School of Engineering and Applied Sciences, Cambridge, USA

    Robert Howe

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