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Image Analysis and Recognition

14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Fakhri Karray

    1. University of Waterloo, Waterloo, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Aurélio Campilho

    1. University of Porto, Porto, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  3. Farida Cheriet

    1. Politechnique Montreal, Montreal, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10317)

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

Included in the following conference series:

Conference proceedings info: ICIAR 2017.

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Table of contents (73 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Machine Learning in Image Recognition

    1. Front Matter

      Pages 1-1
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    2. A Weight-Selection Strategy on Training Deep Neural Networks for Imbalanced Classification

      • Antonio Sze-To, Andrew K. C. Wong
      Pages 3-10

    3. End-to-End Deep Learning for Driver Distraction Recognition

      • Arief Koesdwiady, Safaa M. Bedawi, Chaojie Ou, Fakhri Karray
      Pages 11-18

    4. Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation

      • Jonathan Mojoo, Keiichi Kurosawa, Takio Kurita
      Pages 19-26

    5. Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing

      • Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto Lotufo
      Pages 27-34

    6. Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach

      • Avery Ma, Alexander Wong, David Clausi
      Pages 35-42

  3. Machine Learning for Medical Image Computing

    1. Front Matter

      Pages 43-43
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    2. Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification

      • Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi et al.
      Pages 45-53

    3. Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

      • Devinder Kumar, Audrey G. Chung, Mohammad J. Shaifee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
      Pages 54-62

    4. Left Ventricle Wall Detection from Ultrasound Images Using Shape and Appearance Information

      • Gerardo Tibamoso, Sylvie Ratté, Luc Duong
      Pages 63-70

    5. Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification

      • Mariana Bento, Yan Sym, Richard Frayne, Roberto Lotufo, Letícia Rittner
      Pages 71-78

    6. A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer

      • Daniel S. Cho, Farzad Khalvati, David A. Clausi, Alexander Wong
      Pages 79-86

    7. Ejection Fraction Estimation Using a Wide Convolutional Neural Network

      • AbdulWahab Kabani, Mahmoud R. El-Sakka
      Pages 87-96

    8. Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images

      • Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati
      Pages 97-104

  4. Image Enhancement and Reconstruction

    1. Front Matter

      Pages 105-105
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    2. Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields

      • Ibrahim Ben Daya, Albert I. H. Chen, Mohammad Javad Shafiee, Alexander Wong, John T. W. Yeow
      Pages 107-116

    3. Curvelet-Based Bayesian Estimator for Speckle Suppression in Ultrasound Imaging

      • Rafat Damseh, M. Omair Ahmad
      Pages 117-124

    4. Object Boundary Based Denoising for Depth Images

      • Mayoore S. Jaiswal, Yu-Ying Wang, Ming-Ting Sun
      Pages 125-133

    5. A Note on Boosting Algorithms for Image Denoising

      • Cory Falconer, C. Sean Bohun, Mehran Ebrahimi
      Pages 134-142
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  1. Image Analysis and Recognition

Keywords

About this book

This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017.

The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.

Editors and Affiliations

  • University of Waterloo, Waterloo, Canada

    Fakhri Karray

  • University of Porto, Porto, Portugal

    Aurélio Campilho

  • Politechnique Montreal, Montreal, Canada

    Farida Cheriet

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