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Ophthalmic Medical Image Analysis

9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Bhavna Antony

    1. Alfred Health, Melbourne, Australia

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  2. Huazhu Fu

    1. Institute of High Performance Computing, Singapore, Singapore

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  3. Cecilia S. Lee

    1. University of Washington, Seattle, USA

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  4. Tom MacGillivray

    1. University of Edinburgh, Edinburgh, UK

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  5. Yanwu Xu

    1. Baidu Inc., Beijing, China

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  6. Yalin Zheng

    1. University of Liverpool, Liverpool, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13576)

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Conference proceedings info: OMIA 2022.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. AugPaste: One-Shot Anomaly Detection for Medical Images

    • Weikai Huang, Yijin Huang, Xiaoying Tang
    Pages 1-11

  3. Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer’s Disease Later in Life

    • Darwon Rashid, Ylenia Giarratano, Charlene Hamid, Tom MacGillivray, Graciela Muniz Terrera, Craig Ritchie et al.
    Pages 12-21

  4. Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images

    • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
    Pages 22-32

  5. GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures

    • Yishuo Zhang, Albert C. S. Chung
    Pages 33-42

  6. Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning

    • Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascal Massin, Béatrice Cochener et al.
    Pages 43-52

  7. Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification

    • Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren et al.
    Pages 53-62

  8. Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading

    • Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec et al.
    Pages 63-72

  9. Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter

    • Fabian SL Yii, Raman Dutt, Tom MacGillivray, Baljean Dhillon, Miguel Bernabeu, Niall Strang
    Pages 73-83

  10. Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation

    • Justin Engelmann, Ana Villaplana-Velasco, Amos Storkey, Miguel O. Bernabeu
    Pages 84-93

  11. Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks

    • Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih-Chung Tham et al.
    Pages 94-104

  12. Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans

    • Charalampos Komninos, Theodoros Pissas, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin et al.
    Pages 105-114

  13. Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component

    • Haojin Li, Heng Li, Zhongxi Qiu, Yan Hu, Jiang Liu
    Pages 115-124

  14. Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer

    • Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu et al.
    Pages 125-134

  15. Dataset and Evaluation Algorithm Design for GOALS Challenge

    • Huihui Fang, Fei Li, Huazhu Fu, Junde Wu, Xiulan Zhang, Yanwu Xu
    Pages 135-142

  16. Self-supervised Learning for Anomaly Detection in Fundus Image

    • Sangil Ahn, Jitae Shin
    Pages 143-151

  17. GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images

    • Ahmed Al-Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub
    Pages 152-161

  18. Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot

    • Jun Wu, Hanwen Zhang, Mingxin He, Jianchun Zhao, Xiaohou Shen, Jiankun Liu et al.
    Pages 162-172

  19. Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras

    • Jun Wu, Mingxin He, Yang Liu, Hanwen Zhang, Jianchun Zhao, Xiaohou Shen et al.
    Pages 173-182

  20. Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks

    • Christopher Nielsen, Anup Tuladhar, Nils D. Forkert
    Pages 183-192
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  1. Ophthalmic Medical Image Analysis

Keywords

About this book

This book constitutes the refereed proceedings of the 9th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022.

The 20 papers presented at OMIA 2022 were carefully reviewed and selected from 33 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.



Editors and Affiliations

  • Alfred Health, Melbourne, Australia

    Bhavna Antony

  • Institute of High Performance Computing, Singapore, Singapore

    Huazhu Fu

  • University of Washington, Seattle, USA

    Cecilia S. Lee

  • University of Edinburgh, Edinburgh, UK

    Tom MacGillivray

  • Baidu Inc., Beijing, China

    Yanwu Xu

  • University of Liverpool, Liverpool, UK

    Yalin Zheng

Bibliographic Information

  • Book Title: Ophthalmic Medical Image Analysis

  • Book Subtitle: 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

  • Editors: Bhavna Antony, Huazhu Fu, Cecilia S. Lee, Tom MacGillivray, Yanwu Xu, Yalin Zheng

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-16525-2

  • 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 2022

  • Softcover ISBN: 978-3-031-16524-5Published: 09 September 2022

  • eBook ISBN: 978-3-031-16525-2Published: 15 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 204

  • Number of Illustrations: 9 b/w illustrations, 66 illustrations in colour

  • Topics: Image Processing and Computer Vision

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