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Data Engineering in Medical Imaging

First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Binod Bhattarai

    1. University of Aberdeen, Aberdeen, UK

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  2. Sharib Ali

    1. University of Leeds, Leeds, UK

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  3. Anita Rau

    1. Stanford University, Stanford, USA

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  4. Anh Nguyen

    1. University of Liverpool, Liverpool, UK

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  5. Ana Namburete

    1. University of Oxford, Oxford, UK

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  6. Razvan Caramalau

    1. University College London, London, UK

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  7. Danail Stoyanov

    1. University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14314)

Included in the following conference series:

Conference proceedings info: DEMI 2023.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-x
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  2. Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels

    • Ziyang Wang, Irina Voiculescu
    Pages 1-10

  3. Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

    • Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter Schüffler, Bernhard Kainz
    Pages 11-20

  4. A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation

    • Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
    Pages 21-33

  5. Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification

    • Michal Byra, Ziemowit Klimonda, Jerzy Litniewski
    Pages 34-45

  6. Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications

    • Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch et al.
    Pages 46-55

  7. A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video

    • Wenyue Jin, Rema Daher, Danail Stoyanov, Francisco Vasconcelos
    Pages 56-66

  8. Procedurally Generated Colonoscopy and Laparoscopy Data for Improved Model Training Performance

    • Thomas Dowrick, Long Chen, João Ramalhinho, Juana González-Bueno Puyal, Matthew J. Clarkson
    Pages 67-77

  9. Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining

    • Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
    Pages 78-90

  10. Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation

    • Michael Young, Zixin Yang, Richard Simon, Cristian A. Linte
    Pages 91-101

  11. Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy

    • Ajay Pyatha, Ziang Xu, Sharib Ali
    Pages 102-110

  12. Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy

    • Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
    Pages 111-122

  13. Back Matter

    Pages 123-123
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  1. Data Engineering in Medical Imaging

Keywords

About this book

​Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023.

The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.




Editors and Affiliations

  • University of Aberdeen, Aberdeen, UK

    Binod Bhattarai

  • University of Leeds, Leeds, UK

    Sharib Ali

  • Stanford University, Stanford, USA

    Anita Rau

  • University of Liverpool, Liverpool, UK

    Anh Nguyen

  • University of Oxford, Oxford, UK

    Ana Namburete

  • University College London, London, UK

    Razvan Caramalau, Danail Stoyanov

Bibliographic Information

  • Book Title: Data Engineering in Medical Imaging

  • Book Subtitle: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Editors: Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana Namburete, Razvan Caramalau, Danail Stoyanov

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-44992-5

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-44991-8Published: 02 October 2023

  • eBook ISBN: 978-3-031-44992-5Published: 30 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 123

  • Number of Illustrations: 7 b/w illustrations, 38 illustrations in colour

  • Topics: Data Engineering, Computer Science, general

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