Patch-Based Techniques in Medical Imaging

Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

  • Guorong Wu
  • Pierrick Coupé
  • Yiqiang Zhan
  • Brent C. Munsell
  • Daniel Rueckert
Conference proceedings Patch-MI 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9993)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9993)

Table of contents

  1. Front Matter
    Pages I-X
  2. Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
    Pages 9-16
  3. Imanol Luengo, Mark Basham, Andrew P. French
    Pages 17-24
  4. Anirban Mukhopadhyay, Oscar Salvador Morillo Victoria, Stefan Zachow, Hans Lamecker
    Pages 25-33
  5. Pierrick Coupé, Charles-Alban Deledalle, Charles Dossal, Michèle Allard, Alzheimer’s Disease Neuroimaging Initiative
    Pages 43-50
  6. Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang et al.
    Pages 51-59
  7. Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
    Pages 60-67
  8. Jose E. Romero, Pierrick Coupé, Jose V. Manjón
    Pages 68-75
  9. Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José V. Manjón, Pierrick Coupé et al.
    Pages 76-83
  10. Jose V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Jurgen Fripp, Olivier Salvado
    Pages 92-99
  11. Vincent Dore, Pierrick Bourgeat, Victor L. Villemagne, Jurgen Fripp, Lance Macaulay, Colin L. Masters et al.
    Pages 109-116
  12. Liang Zhao, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Xiang Sean Zhou
    Pages 125-132
  13. Back Matter
    Pages 141-141

About these proceedings


This book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.

The 17 regular papers presented in this volume were carefully reviewed and selected from 25 submissions.

The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.


dictionary learning image enhancement image synthesis neural network super pixel active learning high-dimensional data regression image registration image retrieve image segmentation interactive segmentation mild cognitive impairment multi-modality fusion patch-based processing random forest segmentation sparse representation statistical model supervoxel unsupervised

Editors and affiliations

  • Guorong Wu
    • 1
  • Pierrick Coupé
    • 2
  • Yiqiang Zhan
    • 3
  • Brent C. Munsell
    • 4
  • Daniel Rueckert
    • 5
  1. 1.University of North Carolina at Chapel HillChapel HillUSA
  2. 2.Bordeaux University BordeauxFrance
  3. 3.Siemens Healthcare MalvernUSA
  4. 4.College of Charleston CharlestonUSA
  5. 5.Imperial College London LondonUnited Kingdom

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