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Image Analysis for Moving Organ, Breast, and Thoracic Images

Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Danail Stoyanov

    1. University College London, London, UK

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  2. Zeike Taylor

    1. University of Leeds, Leeds, UK

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  3. Bernhard Kainz

    1. Imperial College London, London, UK

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  4. Gabriel Maicas

    1. University of Adelaide, Adelaide, Australia

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  5. Reinhard R. Beichel

    1. University of Iowa, Iowa City, USA

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  6. Anne Martel

    1. Sunnybrook Health Science Centre, Toronto, Canada

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  7. Lena Maier-Hein

    1. Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

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  8. Kanwal Bhatia

    1. Visulytix Ltd. Screenworks, London, UK

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  9. Tom Vercauteren

    1. King’s College London, London, UK

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  10. Ozan Oktay

    1. Imperial College London, London, UK

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  11. Gustavo Carneiro

    1. University of Adelaide, Adelaide, Australia

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  12. Andrew P. Bradley

    1. Queensland University of Technology, Brisbane, Australia

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  13. Jacinto Nascimento

    1. University of Lisbon, Lisbon, Portugal

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  14. Hang Min

    1. University of Queensland, Brisbane, Australia

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  15. Matthew S. Brown

    1. University of California Los Angeles, Los Angeles, USA

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  16. Colin Jacobs

    1. Radboud University Medical Center, Nijmegen, The Netherlands

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  17. Bianca Lassen-Schmidt

    1. Fraunhofer Institute for Medical Image Computing (MEVIS), Bremen, Germany

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  18. Kensaku Mori

    1. Nagoya University, Nagoya, Japan

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  19. Jens Petersen

    1. University of Copenhagen, Copenhagen, Denmark

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  20. Raúl San José Estépar

    1. Harvard Medical School, Boston, USA

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  21. Alexander Schmidt-Richberg

    1. Philips (Germany), Hamburg, Germany

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  22. Catarina Veiga

    1. University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11040)

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

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Third International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Resection-Based Demons Regularization for Breast Tumor Bed Propagation

      • Marek Wodzinski, Andrzej Skalski
      Pages 3-12

    3. Linear and Deformable Image Registration with 3D Convolutional Neural Networks

      • Christodoulidis Stergios, Sahasrabudhe Mihir, Vakalopoulou Maria, Chassagnon Guillaume, Revel Marie-Pierre, Mougiakakou Stavroula et al.
      Pages 13-22

    4. Super Resolution of Cardiac Cine MRI Sequences Using Deep Learning

      • Nicolas Basty, Vicente Grau
      Pages 23-31

    5. Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data

      • Eric Kerfoot, Esther Puyol Anton, Bram Ruijsink, James Clough, Andrew P. King, Julia A. Schnabel
      Pages 32-41

    6. An Unbiased Groupwise Registration Algorithm for Correcting Motion in Dynamic Contrast-Enhanced Magnetic Resonance Images

      • Mia Mojica, Mehran Ebrahimi
      Pages 42-52

  3. Fourth International Workshop on Breast Image Analysis, BIA 2018

    1. Front Matter

      Pages 53-53
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    2. Siamese Network for Dual-View Mammography Mass Matching

      • Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
      Pages 55-63

    3. Large-Scale Mammography CAD with Deformable Conv-Nets

      • Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sebastien Ourselin, Juan Eugenio Iglesias
      Pages 64-72

    4. Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images

      • Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel et al.
      Pages 73-80

    5. Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net

      • Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
      Pages 81-89

    6. Improving Breast Cancer Detection Using Symmetry Information with Deep Learning

      • Yeman Brhane Hagos, Albert Gubern Mérida, Jonas Teuwen
      Pages 90-97

    7. Conditional Infilling GANs for Data Augmentation in Mammogram Classification

      • Eric Wu, Kevin Wu, David Cox, William Lotter
      Pages 98-106

    8. A Unified Mammogram Analysis Method via Hybrid Deep Supervision

      • Rongzhao Zhang, Han Zhang, Albert C. S. Chung
      Pages 107-115

    9. Structure-Aware Staging for Breast Cancer Metastases

      • Songtao Zhang, Li Sun, Ruiqiao Wang, Hongping Tang, Jin Zhang, Lin Luo
      Pages 116-123

    10. Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis

      • I. A. Illan, J. Ramirez, J. M. Gorriz, K. Pinker, A. Meyer-Baese
      Pages 124-131

  4. First International Workshop on Thoracic Image Analysis, TIA 2018

    1. Front Matter

      Pages 133-133
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    2. Robust Windowed Harmonic Phase Analysis with a Single Acquisition

      • Santiago Sanz-Estébanez, Lucilio Cordero-Grande, Marcos Martín-Fernández, Carlos Alberola-López
      Pages 135-146

    3. Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training

      • Ophir Gozes, Hayit Greenspan
      Pages 147-158
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  1. Image Analysis for Moving Organ, Breast, and Thoracic Images

Keywords

About this book

This book constitutes the refereed joint proceedings of the Third International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018, the Fourth International Workshop on Breast Image Analysis, BIA 2018, and the First International Workshop on Thoracic Image Analysis, TIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

The 5 full papers (out of 10 submissions) presented at RAMBO, the 9 full papers (out of 18 submissions) presented at BIA, and the 20 full papers (out of 21 submissions) presented at TIA were carefully reviewed and selected. The RAMBO papers cover aspects of medical imaging where motion plays a role in the image formation or analysis. The BIA papers deal with topics such as computer-aided detection and diagnosis of breast cancer, quantitative analysis of breast imaging modalities, and large scale breast image screening and analysis. The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications.

Editors and Affiliations

  • University College London, London, UK

    Danail Stoyanov, Catarina Veiga

  • University of Leeds, Leeds, UK

    Zeike Taylor

  • Imperial College London, London, UK

    Bernhard Kainz, Ozan Oktay

  • University of Adelaide, Adelaide, Australia

    Gabriel Maicas, Gustavo Carneiro

  • University of Iowa, Iowa City, USA

    Reinhard R. Beichel

  • Sunnybrook Health Science Centre, Toronto, Canada

    Anne Martel

  • Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Lena Maier-Hein

  • Visulytix Ltd. Screenworks, London, UK

    Kanwal Bhatia

  • King’s College London, London, UK

    Tom Vercauteren

  • Queensland University of Technology, Brisbane, Australia

    Andrew P. Bradley

  • University of Lisbon, Lisbon, Portugal

    Jacinto Nascimento

  • University of Queensland, Brisbane, Australia

    Hang Min

  • University of California Los Angeles, Los Angeles, USA

    Matthew S. Brown

  • Radboud University Medical Center, Nijmegen, The Netherlands

    Colin Jacobs

  • Fraunhofer Institute for Medical Image Computing (MEVIS), Bremen, Germany

    Bianca Lassen-Schmidt

  • Nagoya University, Nagoya, Japan

    Kensaku Mori

  • University of Copenhagen, Copenhagen, Denmark

    Jens Petersen

  • Harvard Medical School, Boston, USA

    Raúl San José Estépar

  • Philips (Germany), Hamburg, Germany

    Alexander Schmidt-Richberg

Bibliographic Information

  • Book Title: Image Analysis for Moving Organ, Breast, and Thoracic Images

  • Book Subtitle: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings

  • Editors: Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne Martel, Lena Maier-Hein, Kanwal Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, … Catarina Veiga

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-00946-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-00945-8Published: 12 September 2018

  • eBook ISBN: 978-3-030-00946-5Published: 11 September 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 350

  • Number of Illustrations: 34 b/w illustrations, 122 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics, Information Systems and Communication Service

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