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OMIA@MICCAI 2023: Vancouver, BC, Canada
- Bhavna Josephine Antony
, Hao Chen
, Huihui Fang
, Huazhu Fu
, Cecilia S. Lee
, Yalin Zheng
:
Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14096, Springer 2023, ISBN 978-3-031-44012-0 - Darwon Rashid, Ylenia Giarratano, Charlene Hamid, Thomas J. MacGillivray, Graciela Terrera Muniz, Craig Ritchie, Baljean Dhillon, Megan Reid-Schachter, Audrey Low, Maria-Eleni Dounavi, John T. O'Brien, Miguel O. Bernabeu:
Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease. 1-10 - Mostafa El Habib Daho
, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. 11-20 - Sean Wu, Vahid Mohammadzadeh, Kiumars Edalati, Jack Martinyan, Arthur Martinyan, Joseph Caprioli, Kouros Nouri-Mahdavi, Fabien Scalzo:
Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression. 21-31 - Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu:
QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models. 32-41 - Shuwen Wei
, Yihao Liu
, Zhangxing Bian
, Yuli Wang, Lianrui Zuo
, Peter A. Calabresi
, Shiv Saidha, Jerry L. Prince
, Aaron Carass
:
Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation. 42-51 - Jingcheng Xu, Zhuoshi Wang, Weifang Zhu, Yi Zhou, Yan Sun, Zhuang Li, Ming Liu, Wenhao Tan, Ling Xu, Xinjian Chen:
UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa. 52-61 - Ye Tian, Mingyang Zang
, Anurag Sharma, Sophie Z. Gu, Ari Leshno
, Kaveri A. Thakoor:
Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers. 62-71 - Ashelyn Mann, Adam Hedberg-Buenz, Michael G. Anderson, Mona Kathryn Garvin:
Utilizing Meta Pseudo Labels for Semantic Segmentation of Targeted Optic Nerve Features. 72-81 - Xuefei Li, Huaying Hao, Huazhu Fu
, Dan Zhang, Da Chen, Yuchuan Qiao, Jiang Liu, Yitian Zhao, Jiong Zhang:
Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images. 82-91 - Botond Fazekas, José Morano, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic:
Adapting Segment Anything Model (SAM) for Retinal OCT. 92-101 - Xin Xu, Yingjie Chen, Fei Shi, Yi Zhou, Weifang Zhu, Song Gao, Muhammad Mateen, Xiaofeng Zhang, Xinjian Chen:
Dual-Modality Grading of Keratoconus Severity Based on Corneal Topography and Clinical Indicators. 102-111 - Noriyoshi Takahashi, Jui-Kai Wang, Edward F. Linton, Noor-Us-Sabah Ahmad, Julie K. Nellis, Mona Kathryn Garvin, Randy H. Kardon
:
Automated Optic Disc Finder and Segmentation Using Deep Learning for Blood Flow Studies in the Eye. 112-121 - Junlong Qu, Hai Xie, Yingpeng Xie
, Huiling Hu, Jiaqiang Li, Yunlong Sun, Guoming Zhang, Baiying Lei:
Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images. 122-131 - Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad
, Daniel Rueckert, Andrew J. Lotery
, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. 132-141 - Guanhua Bai, Sanqian Li, He Zhang, Risa Higashita, Jiang Liu, Jie Li, Meng Zhang:
A Structure-Consistency GAN for Unpaired AS-OCT Image Inpainting. 142-151 - Huihui Fang, Fei Li, Hanyi Yu, Dongyang Zhao, Xiang Li, Zhuoling Li, Huazhu Fu
, Xiulan Zhang, Yanwu Xu:
STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023. 152-160
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