Ophthalmic Medical Image Analysis (eBook, PDF)

12th International Workshop, OMIA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Redaktion: Fang, Huihui; Lee, Cecilia S.; Bogunovic, Hrvoje; Chen, Hao; Li, Heng; Wang, Meng

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 12th International Workshop, OMIA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025.

The 17 full papers presented in this book were carefully selected and reviewed from 33 submissions.This workshop aimed to bring together scientists, clinicians, and students from multiple disciplines in the growing ophthalmic image analysis community such as electronic engineering, computer science, mathematics, and medicine to discuss the latest advancements in the field.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 180
• Erscheinungstermin: 21. November 2025
• Englisch
• ISBN-13: 9783032103512
• Artikelnr.: 75946767

Inhaltsangabe

.
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.