Ophthalmic Medical Image Analysis 12th International Workshop, OMIA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

.- DVIA-Net: Dual-path Video Information Aggregation Network for Anterior Chamber Angle Analysis.

.- BEAM: Boosting Fundus Image Enhancement via Adapted Text-to-Image Models.

.- Multimodal Fusion Framework Using Contrastive Learning for Exposure Keratopathy.

.- GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT.

.- Anomaly Detection in Anterior Eye Segment Using Self-Supervised Siamese Autoencoders.

.- Generalized Visual Field Pattern Discovery Using Archetypal Analysis.

.- Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model.

.- RetBench: Which Ophthalmic Foundation Model Performs Best and Why?.

.- On the Limits of Uncertainty-Aware Fine-Tuning for Robust Diabetic Retinopathy Screening.

.- Semi-Automated Retinal Microsurgery Video Annotation with SAM2: Comparative Analysis of Prompt Strategies.

.- Cross Domain Few Shot Learning for Intra-operative OCT Segmentation.

.- Reasoning-Enhanced Vision-Language Model for Interpretable Diabetic Retinopathy Detection in Ultra-Wide-Field Fundus Images.

.- PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks.

.- abVAE: Attribute-Based Booster Variational Autoencoder for Interpretable Latent Presentation in Optical Coherence Tomography of Glaucomatous Eyes.

.- Early CHD Detection from Retinal Fundus Scans using a Spatial Context-Aware Hierarchical Attention Framework.

.- Dataset, Baseline and Evaluation Design for GAVE Challenge.

.- UncEGA-Net: Uncertainty-Guided Edge Attention for Optic Nerve Segmentation in Ultrasound Images.