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OMIA@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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