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Ophthalmic Medical Image Analysis

7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Huazhu Fu

    1. Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  2. Mona K. Garvin

    1. University of Iowa, Iowa City, USA

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  3. Tom MacGillivray

    1. University of Edinburgh, Edinburgh, UK

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  4. Yanwu Xu

    1. Baidu Inc., Beijing, China

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  5. Yalin Zheng

    1. University of Liverpool, Liverpool, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12069)

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

Included in the following conference series:

Conference proceedings info: OMIA 2020.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Bio-inspired Attentive Segmentation of Retinal OCT Imaging

    • Georgios Lazaridis, Moucheng Xu, Saman Sadeghi Afgeh, Giovanni Montesano, David Garway-Heath
    Pages 1-10

  3. DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis

    • Rayna Andreeva, Alessandro Fontanella, Ylenia Giarratano, Miguel O. Bernabeu
    Pages 11-20

  4. What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?

    • Amitojdeep Singh, Sourya Sengupta, Jothi Balaji J., Abdul Rasheed Mohammed, Ibrahim Faruq, Varadharajan Jayakumar et al.
    Pages 21-31

  5. DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images

    • Sourya Sengupta, Alexander Wong, Amitojdeep Singh, John Zelek, Vasudevan Lakshminarayanan
    Pages 32-41

  6. Encoder-Decoder Networks for Retinal Vessel Segmentation Using Large Multi-scale Patches

    • Björn Browatzki, Jörn-Philipp Lies, Christian Wallraven
    Pages 42-52

  7. Retinal Image Quality Assessment via Specific Structures Segmentation

    • Xinqiang Zhou, Yicheng Wu, Yong Xia
    Pages 53-61

  8. Cascaded Attention Guided Network for Retinal Vessel Segmentation

    • Mingxing Li, Yueyi Zhang, Zhiwei Xiong, Dong Liu
    Pages 62-71

  9. Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography

    • Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa, Joel Schuman, James Fishbaugh, Guido Gerig
    Pages 72-82

  10. Automated Detection of Diabetic Retinopathy from Smartphone Fundus Videos

    • Simon Mueller, Snezhana Karpova, Maximilian W. M. Wintergerst, Kaushik Murali, Mahesh P. Shanmugam, Robert P. Finger et al.
    Pages 83-92

  11. Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder

    • Ravi Kamble, Pranab Samanta, Nitin Singhal
    Pages 93-103

  12. Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image

    • Weixin Liu, Haijun Lei, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei
    Pages 104-113

  13. An Interactive Approach to Region of Interest Selection in Cytologic Analysis of Uveal Melanoma Based on Unsupervised Clustering

    • Haomin Chen, T. Y. Alvin Liu, Zelia Correa, Mathias Unberath
    Pages 114-124

  14. Retinal OCT Denoising with Pseudo-Multimodal Fusion Network

    • Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz
    Pages 125-135

  15. Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling

    • Mohammad Shafkat Islam, Jui-Kai Wang, Wenxiang Deng, Matthew J. Thurtell, Randy H. Kardon, Mona K. Garvin
    Pages 136-145

  16. Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images

    • Tieqiao Wang, Sijie Niu, Jiwen Dong, Yuehui Chen
    Pages 146-154

  17. A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA)

    • Ylenia Giarratano, Alisa Pavel, Jie Lian, Rayna Andreeva, Alessandro Fontanella, Rik Sarkar et al.
    Pages 155-164

  18. An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network

    • Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Hai Xie, Guanghui Yue, Tianfu Wang et al.
    Pages 165-174

  19. Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images

    • Benjian Zhao, Haijun Lei, Xianlu Zeng, Jiuwen Cao, Hai Xie, Guanghui Yue et al.
    Pages 175-184

  20. A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

    • Andrés D. Pérez, Oscar Perdomo, Hernán Rios, Francisco Rodríguez, Fabio A. González
    Pages 185-194
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  1. Ophthalmic Medical Image Analysis

Keywords

About this book

This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 crisis.

The 21 papers presented at OMIA 2020 were carefully reviewed and selected from 34 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

  • Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

    Huazhu Fu

  • University of Iowa, Iowa City, USA

    Mona K. Garvin

  • University of Edinburgh, Edinburgh, UK

    Tom MacGillivray

  • Baidu Inc., Beijing, China

    Yanwu Xu

  • University of Liverpool, Liverpool, UK

    Yalin Zheng

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