Image Processing, Computer Vision, Pattern Recognition, and Graphics

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Editors: Wang, Q., Milletari, F., Nguyen, H.V., Albarqouni, S., Cardoso, M.J., Rieke, N., Xu, Z., Kamnitsas, K., Patel, V., Roysam, B., Jiang, S., Zhou, K., Luu, K., Le, N. (Eds.)

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eBook $54.99
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  • ISBN 978-3-030-33391-1
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Softcover $69.99
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About this book

This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains.

MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection. 

Table of contents (28 chapters)

Table of contents (28 chapters)
  • Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

    Pages 3-10

    Manakov, Ilja (et al.)

  • Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

    Pages 11-19

    Valvano, Gabriele (et al.)

  • Multi-layer Domain Adaptation for Deep Convolutional Networks

    Pages 20-27

    Ciga, Ozan (et al.)

  • Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

    Pages 28-36

    Shanis, Zahil (et al.)

  • Learning Interpretable Disentangled Representations Using Adversarial VAEs

    Pages 37-44

    Sarhan, Mhd Hasan (et al.)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-33391-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-33390-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Book Subtitle
First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Editors
  • Qian Wang
  • Fausto Milletari
  • Hien V Nguyen
  • Shadi Albarqouni
  • M. Jorge Cardoso
  • Nicola Rieke
  • Ziyue Xu
  • Konstantinos Kamnitsas
  • Vishal Patel
  • Badri Roysam
  • Steve Jiang
  • Kevin Zhou
  • Khoa Luu
  • Ngan Le
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11795
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33391-1
DOI
10.1007/978-3-030-33391-1
Softcover ISBN
978-3-030-33390-4
Edition Number
1
Number of Pages
XVII, 254
Number of Illustrations
34 b/w illustrations, 79 illustrations in colour
Topics