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Fetal, Infant and Ophthalmic Medical Image Analysis

International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. M. Jorge Cardoso

    1. University College London, London, United Kingdom

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  2. Tal Arbel

    1. McGill University, Montreal, Canada

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  3. Andrew Melbourne

    1. University College London, London, United Kingdom

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  4. Hrvoje Bogunovic

    1. Medical University of Vienna, Vienna, Austria

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  5. Pim Moeskops

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  6. Xinjian Chen

    1. Soochow University, Suzhou, China

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  7. Ernst Schwartz

    1. Medical University of Vienna, Vienna, Austria

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  8. Mona Garvin

    1. University of Iowa, Iowa City, USA

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  9. Emma Robinson

    1. Imperial College London, London, United Kingdom

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  10. Emanuele Trucco

    1. University of Dundee, Dundee, United Kingdom

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  11. Michael Ebner

    1. University College London, London, United Kingdom

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  12. Yanwu Xu

    1. A*STAR Institute for Infocomm Research, Singapore, Singapore

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  13. Antonios Makropoulos

    1. Imperial College London, London, United Kingdom

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  14. Adrien Desjardin

    1. University College London, London, United Kingdom

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  15. Tom Vercauteren

    1. University College London, London, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10554)

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

Included in the following conference series:

Conference proceedings info: FIFI 2017, OMIA 2017.

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Table of contents (28 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. International Workshop on Fetal and Infant Image Analysis, FIFI 2017

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study

      • Juan Eugenio Iglesias, Sebastiano Ferraris, Marc Modat, Willy Gsell, Jan Deprest, Johannes L. van der Merwe et al.
      Pages 3-13

    3. Assessing Reorganisation of Functional Connectivity in the Infant Brain

      • Roxane Licandro, Karl-Heinz Nenning, Ernst Schwartz, Kathrin Kollndorfer, Lisa Bartha-Doering, Hesheng Liu et al.
      Pages 14-24

    4. Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest

      • Juan J. Cerrolaza, Ozan Oktay, Alberto Gomez, Jacqueline Matthew, Caroline Knight, Bernhard Kainz et al.
      Pages 25-32

    5. Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points

      • Alberto Gomez, Kanwal Bhatia, Sarjana Tharin, James Housden, Nicolas Toussaint, Julia A. Schnabel
      Pages 33-41

    6. Automatic Segmentation of the Intracranial Volume in Fetal MR Images

      • N. Khalili, P. Moeskops, N. H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus et al.
      Pages 42-51

    7. Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models

      • Alexander Schmidt-Richberg, Tom Brosch, Nicole Schadewaldt, Tobias Klinder, Angelo Cavallaro, Ibtisam Salim et al.
      Pages 52-61

    8. Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning

      • Caroline Raynaud, Cybèle Ciofolo-Veit, Thierry Lefèvre, Roberto Ardon, Angelo Cavallaro, Ibtisam Salim et al.
      Pages 62-72

    9. Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs

      • Ana I. L. Namburete, Weidi Xie, J. Alison Noble
      Pages 73-80

  3. 4th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017

    1. Front Matter

      Pages 81-81
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    2. Segmentation of Retinal Blood Vessels Using Dictionary Learning Techniques

      • Taibou Birgui Sekou, Moncef Hidane, Julien Olivier, Hubert Cardot
      Pages 83-91

    3. Detecting Early Choroidal Changes Using Piecewise Rigid Image Registration and Eye-Shape Adherent Regularization

      • Tiziano Ronchetti, Peter Maloca, Christoph Jud, Christoph Meier, Selim Orgül, Hendrik P. N. Scholl et al.
      Pages 92-100

    4. Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation

      • Qichao Sun, Lijie Deng, Jianwei Liu, Haixiang Huang, Jin Yuan, Xiaoying Tang
      Pages 101-108

    5. Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans

      • Joerg Wagner, Simon Pezold, Philippe C. Cattin
      Pages 109-117

    6. Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy

      • Dehui Xiang, Geng Chen, Fei Shi, Weifang Zhu, Xinjian Chen
      Pages 118-125

    7. Retinal Image Quality Classification Using Fine-Tuned CNN

      • Jing Sun, Cheng Wan, Jun Cheng, Fengli Yu, Jiang Liu
      Pages 126-133

    8. Optic Disc Detection via Deep Learning in Fundus Images

      • Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu
      Pages 134-141

    9. 3D Choroid Neovascularization Growth Prediction with Combined Hyperelastic Biomechanical Model and Reaction-Diffusion Model

      • Chang Zuo, Fei Shi, Weifang Zhu, Haoyu Chen, Xinjian Chen
      Pages 142-149

    10. Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population

      • Ahmed E. Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander Doney, Thomas J. MacGillivray et al.
      Pages 150-158
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  1. Fetal, Infant and Ophthalmic Medical Image Analysis

Keywords

About this book

This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.

Editors and Affiliations

  • University College London, London, United Kingdom

    M. Jorge Cardoso, Andrew Melbourne, Michael Ebner, Adrien Desjardin, Tom Vercauteren

  • McGill University, Montreal, Canada

    Tal Arbel

  • Medical University of Vienna, Vienna, Austria

    Hrvoje Bogunovic, Ernst Schwartz

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Pim Moeskops

  • Soochow University, Suzhou, China

    Xinjian Chen

  • University of Iowa, Iowa City, USA

    Mona Garvin

  • Imperial College London, London, United Kingdom

    Emma Robinson, Antonios Makropoulos

  • University of Dundee, Dundee, United Kingdom

    Emanuele Trucco

  • A*STAR Institute for Infocomm Research, Singapore, Singapore

    Yanwu Xu

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