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ORCIDMMAC@MICCAI 2023: Vancouver, BC, Canada
- Bin Sheng
, Hao Chen, Tien Yin Wong:
Myopic Maculopathy Analysis - MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14563, Springer 2024, ISBN 978-3-031-54856-7 - Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. 1-17 - Li Lu, Xuhao Pan, Panji Jin, Ye Ding:
Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images. 18-30 - Junlin Hou, Jilan Xu, Fan Xiao, Bo Zhang, Yiqian Xu, Yuejie Zhang, Haidong Zou, Rui Feng:
Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification. 31-45 - Fan Xiao, Junlin Hou, Jilan Xu, Yiqian Xu, Bo Zhang, Yuejie Zhang, Haidong Zou, Rui Feng:
Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation. 46-55 - Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
Beyond MobileNet: An Improved MobileNet for Retinal Diseases. 56-65 - Huayu Li, Wenhui Zhu, Xiwen Chen, Yalin Wang:
Prediction of Spherical Equivalent with Vanilla ResNet. 66-74 - Jónathan Heras:
Semi-supervised Learning for Myopic Maculopathy Analysis. 75-82 - Fabian Yii:
A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification. 83-94 - Jiawen Li, Jaehyeon Soon, Qilai Zhang, Qifan Zhang, Yonghong He:
Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network. 95-105 - Di Liu, Li Wei, Bo Yang:
Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent. 106-112 - Hyeonmin Kim, Hyeonseob Nam:
Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling. 113-119
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