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Ophthalmic Medical Image Analysis

10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Bhavna Antony

    1. Alfred Health, Melbourne, Australia

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  2. Hao Chen

    1. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

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  3. Huihui Fang

    1. Pazhou Lab, Guangzhou, China

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  4. Huazhu Fu

    1. A*STAR, Institute of High Performance Computing, Singapore, Singapore

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  5. Cecilia S. Lee

    1. University of Washington, Seattle, USA

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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 14096)

Included in the following conference series:

Conference proceedings info: OMIA 2023.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer’s Disease

    • Darwon Rashid, Ylenia Giarratano, Charlene Hamid, Tom MacGillivray, Graciela Muniz Terrera, Craig Ritchie et al.
    Pages 1-10

  3. Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

    • Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin et al.
    Pages 11-20

  4. Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression

    • Sean Wu, Vahid Mohammadzadeh, Kiumars Edalati, Jack Martinyan, Arthur Martinyan, Joseph Caprioli et al.
    Pages 21-31

  5. QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models

    • Justin Engelmann, Amos Storkey, Miguel O. Bernabeu
    Pages 32-41

  6. Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation

    • Shuwen Wei, Yihao Liu, Zhangxing Bian, Yuli Wang, Lianrui Zuo, Peter A. Calabresi et al.
    Pages 42-51

  7. UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa

    • Jingcheng Xu, Zhuoshi Wang, Weifang Zhu, Yi Zhou, Yan Sun, Zhuang Li et al.
    Pages 52-61

  8. Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers

    • Ye Tian, Mingyang Zang, Anurag Sharma, Sophie Z. Gu, Ari Leshno, Kaveri A. Thakoor
    Pages 62-71

  9. Utilizing Meta Pseudo Labels for Semantic Segmentation of Targeted Optic Nerve Features

    • Ashelyn Mann, Adam Hedberg-Buenz, Michael G. Anderson, Mona K. Garvin
    Pages 72-81

  10. Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images

    • Xuefei Li, Huaying Hao, Huazhu Fu, Dan Zhang, Da Chen, Yuchuan Qiao et al.
    Pages 82-91

  11. Adapting Segment Anything Model (SAM) for Retinal OCT

    • Botond Fazekas, José Morano, Dmitrii Lachinov, Guilherme Aresta, Hrvoje Bogunović
    Pages 92-101

  12. Dual-Modality Grading of Keratoconus Severity Based on Corneal Topography and Clinical Indicators

    • Xin Xu, Yingjie Chen, Fei Shi, Yi Zhou, Weifang Zhu, Song Gao et al.
    Pages 102-111

  13. Automated Optic Disc Finder and Segmentation Using Deep Learning for Blood Flow Studies in the Eye

    • Noriyoshi Takahashi, Jui-Kai Wang, Edward F. Linton, Noor-Us-Sabah Ahmad, Julie K. Nellis, Mona K. Garvin et al.
    Pages 112-121

  14. Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images

    • Junlong Qu, Hai Xie, Yingpeng Xie, Huiling Hu, Jiaqiang Li, Yunlong Sun et al.
    Pages 122-131

  15. Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report

    • Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai et al.
    Pages 132-141

  16. A Structure-Consistency GAN for Unpaired AS-OCT Image Inpainting

    • Guanhua Bai, Sanqian Li, He Zhang, Risa Higashita, Jiang Liu, Jie Li et al.
    Pages 142-151

  17. STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023

    • Huihui Fang, Fei Li, Hanyi Yu, Dongyang Zhao, Xiang Li, Zhuoling Li et al.
    Pages 152-160

  18. Back Matter

    Pages 161-162
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  1. Ophthalmic Medical Image Analysis

Keywords

About this book

This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.

The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 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

  • Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    Hao Chen

  • Pazhou Lab, Guangzhou, China

    Huihui Fang

  • A*STAR, Institute of High Performance Computing, Singapore, Singapore

    Huazhu Fu

  • University of Washington, Seattle, USA

    Cecilia S. Lee

  • University of Liverpool, Liverpool, UK

    Yalin Zheng

Bibliographic Information

  • Book Title: Ophthalmic Medical Image Analysis

  • Book Subtitle: 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Editors: Bhavna Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee, Yalin Zheng

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-44013-7

  • 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: 978-3-031-44012-0Published: 06 October 2023

  • eBook ISBN: 978-3-031-44013-7Published: 15 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 162

  • Number of Illustrations: 6 b/w illustrations, 52 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Computer Systems Organization and Communication Networks

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