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ORCIDOMIA@MICCAI 2024: Marrakesh, Morocco
- Bhavna Josephine Antony
, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee:
Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15188, Springer 2025, ISBN 978-3-031-73118-1 - Iman Aganj, Shahin Nasr:
Selective Functional Connectivity between Ocular Dominance Columns in the Primary Visual Cortex. 1-10 - Zhiyuan Yang, Bo Zhang, Yufei Shi, Ningze Zhong, Johnathan Loh, Huihui Fang, Yanwu Xu, Si Yong Yeo:
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading. 11-21 - Idriss Dulau, Benoit Recur, Catherine Helmer, Cécile Delcourt, Marie Beurton-Aimar:
VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation. 22-31 - An Dinh Le, Shaden H. Yassin, William R. Freeman, Anna Heinke, Dirk-Uwe G. Bartsch, Shyamanga Borooah, Shiwei Jin, Truong Q. Nguyen, Cheolhong An:
Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging. 32-41 - Puxun Tu, Meng Xie, Jiao Lv, Peiquan Zhao, Ce Zheng, Xiaojun Chen:
Inter-frame Sclera Vessel Rotation Tracking for Toric Intraocular Lens Implantation Navigation. 42-52 - Huiyan Lin, Heng Li, Haojin Li, Xiangyang Yu, Kuai Yu, Chenhao Liang, Huazhu Fu, Jiang Liu:
Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. 53-62 - Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu:
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation. 63-72 - Zhuangzhi Gao, He Zhao, Zhongli Wu, Yuankai Wang, Gregory Yoke Hong Lip, Alena Shantsila, Eduard Shantsila, Yalin Zheng:
Coral-CVDs: A Consistent Ordinal Regression Model for Cardiovascular Diseases Grading. 73-82 - Elyes Farjallah, Said El Shamieh, Razieh Rezaei, Philipp Herrmann, Sandrine H. Künzel, Frank G. Holz, Shadi Albarqouni:
Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography. 83-93 - Markus Unterdechler, Botond Fazekas, Guilherme Aresta, Hrvoje Bogunovic:
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation. 94-103 - Saif Khalid Musluh, Ammar M. Okran, Saddam Abdulwahab, Domenec Puig, Hatem A. Rashwan:
Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis. 104-114 - Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
Masked Image Modelling for Retinal OCT Understanding. 115-125 - Jun Wu, Jinshu Gao, Jingjie Lin, Zeyu Huang, Yang Liu, Zhengyu Chen, Qin Long, Jianchun Zhao, Dayong Ding:
A Dual-Stream Network for Langerhans' Cells Segmentation in CCM Images. 126-135 - Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki:
Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation. 136-145 - Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng:
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. 146-156 - Meng Wang, Tian Lin, Ting Xu, Ke Zou, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng:
Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. 157-166
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