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ORCIDOMIA@MICCAI 2021: Strasbourg, France
- Huazhu Fu
, Mona Kathryn Garvin, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12970, Springer 2021, ISBN 978-3-030-86999-1 - Zhonghua Wang, Junyan Lyu, Wenhao Luo, Xiaoying Tang:
Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation. 1-10 - Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener:
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. 11-20 - Charalampos Komninos, Theodoros Pissas, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans. 21-31 - Xinliang Wang, Yunchao Gu, Junjun Pan, Liyun Jia:
Diabetic Retinopathy Detection Based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining. 32-41 - Linkai Peng, Li Lin, Pujin Cheng, Zhonghua Wang, Xiaoying Tang:
FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. 42-51 - Ziyang Chen, Yongsheng Pan, Yong Xia:
CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization. 52-61 - Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler:
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina. 62-71 - Bram M. van der Velden, Mitko Veta, Josien P. W. Pluim, Mark Alberti, Friso G. Heslinga:
Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. 72-81 - Jingyu Zhao, Jiong Zhang, Bin Deng, Yalin Zheng, Jiang Liu, Ran Song, Yitian Zhao:
Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation. 82-91 - Yang Zhang, Risa Higashita, Yanwu Xu, Daisuke Santo, Yan Hu, Guodong Long, Jiang Liu:
Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network. 92-100 - Mengxuan Li, He Zhao, Jie Xu, Huiqi Li:
Peripapillary Atrophy Segmentation with Boundary Guidance. 101-108 - Mohammad Ghouse Syed, Alexander S. Doney, Gittu George, Ify Mordi, Emanuele Trucco:
Are Cardiovascular Risk Scores from Genome and Retinal Image Complementary? A Deep Learning Investigation in a Diabetic Cohort. 109-118 - Zhihui Tian, Haijun Lei, Hai Xie, Xianlu Zeng, Xinyu Zhao, Miaohong Chen, Guoming Zhang, Baiying Lei:
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images. 119-128 - Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian:
Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. 129-138 - Huihui Fang, Fangxin Shang, Huazhu Fu, Fei Li, Xiulan Zhang, Yanwu Xu:
Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning. 139-147 - Daniel Bar-David, Laura Bar-David, Shiri Soudry, Anath Fischer:
Impact of Data Augmentation on Retinal OCT Image Segmentation for Diabetic Macular Edema Analysis. 148-158 - Jui-Kai Wang, Randy H. Kardon, Mona Kathryn Garvin:
Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using only Two Latent Variables from a Variational Autoencoder. 159-167 - Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi:
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. 168-178 - Mingchao Li, Yerui Chen, Kun Huang, Wen Fang, Qiang Chen:
Attention Guided Slit Lamp Image Quality Assessment. 179-188 - Xu Sun, Huihui Fang, Yehui Yang, Dongwei Zhu, Lei Wang, Junwei Liu, Yanwu Xu:
Robust Retinal Vessel Segmentation from a Data Augmentation Perspective. 189-198
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