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Author:   Huihui Fang ,  Meng Wang ,  Heng Li ,  Hao Chen
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032103505

ISBN 10:   3032103509
Pages:   180
Publication Date:   22 November 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- 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.

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