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Patch-Based Techniques in Medical Imaging

4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Wenjia Bai

    1. Imperial College London, London, UK

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  2. Gerard Sanroma

    1. German Center for Neurodegenerative Diseases, Bonn, Germany

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  3. Guorong Wu

    1. University of North Carolina at Chapel Hill, Chapel Hill, USA

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  4. Brent C. Munsell

    1. College of Charleston, Charleston, USA

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  5. Yiqiang Zhan

    1. Shanghai Jiao Tong University, Shanghai, China

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  6. Pierrick Coupé

    1. University of Bordeaux, Talence Cedex, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11075)

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

Included in the following conference series:

Conference proceedings info: Patch-MI 2018.

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Table of contents (15 papers)

  1. Front Matter

    Pages I-X
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  2. Image Denoising

    1. Front Matter

      Pages 1-1
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    2. Learning Real Noise for Ultra-Low Dose Lung CT Denoising

      • Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer
      Pages 3-11

    3. MRI Denoising Using Deep Learning

      • JosĂ© V. ManjĂłn, Pierrick Coupe
      Pages 12-19

    4. MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching

      • Lee B. Reid, Ashley Gillman, Alex M. Pagnozzi, JosĂ© V. ManjĂłn, Jurgen Fripp
      Pages 20-27

    5. A Monte Carlo Framework for Denoising and Missing Wedge Reconstruction in Cryo-electron Tomography

      • E. Moebel, C. Kervrann
      Pages 28-35

  3. Image Registration and Matching

    1. Front Matter

      Pages 37-37
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    2. Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features

      • Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, GwenolĂ© Quellec, Vincent Noblet et al.
      Pages 39-47

    3. Stereo Matching for Wireless Capsule Endoscopy Using Direct Attenuation Model

      • Min-Gyu Park, Ju Hong Yoon, Youngbae Hwang
      Pages 48-56

  4. Image Classification and Detection

    1. Front Matter

      Pages 57-57
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    2. Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework

      • Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin et al.
      Pages 59-66

    3. Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules

      • Dario Augusto Borges Oliveira, Matheus Palhares Viana
      Pages 67-75

    4. Predicting Future Bone Infiltration Patterns in Multiple Myeloma

      • Roxane Licandro, Johannes Hofmanninger, Marc-AndrĂ© Weber, Bjoern Menze, Georg Langs
      Pages 76-84

    5. A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm

      • Jiaxing Tan, Yumei Huo, Zhengrong Liang, Lihong Li
      Pages 85-92

  5. Brain Image Analysis

    1. Front Matter

      Pages 93-93
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    2. LesionBrain: An Online Tool for White Matter Lesion Segmentation

      • Pierrick CoupĂ©, Thomas Tourdias, Pierre Linck, JosĂ© E. Romero, JosĂ© V. ManjĂłn
      Pages 95-103

    3. Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis

      • Sandra González-VillĂ , Yuankai Huo, Arnau Oliver, Xavier LladĂł, Bennett A. Landman
      Pages 104-113

    4. A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition

      • LĂ©onie Borne, Jean-François Mangin, Denis Rivière
      Pages 114-121

    5. Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation

      • Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko et al.
      Pages 122-129

  6. Retinal Image Analysis

    1. Front Matter

      Pages 131-131
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  1. Patch-Based Techniques in Medical Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the 4th International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

The 15 full papers presented were carefully reviewed and selected from 17 submissions. The papers are organized in the following topical sections: Image Denoising¸ Image Registration and Matching, Image Classification and Detection, Brain Image Analysis, and Retinal Image Analysis.

Editors and Affiliations

  • Imperial College London, London, UK

    Wenjia Bai

  • German Center for Neurodegenerative Diseases, Bonn, Germany

    Gerard Sanroma

  • University of North Carolina at Chapel Hill, Chapel Hill, USA

    Guorong Wu

  • College of Charleston, Charleston, USA

    Brent C. Munsell

  • Shanghai Jiao Tong University, Shanghai, China

    Yiqiang Zhan

  • University of Bordeaux, Talence Cedex, France

    Pierrick Coupé

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