日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1

一种基于多模态人工智能的队列选择工具,用于预测新生血管性年龄相关性黄斑变性患者对阿柏西普负荷期治疗反应不佳的情况:PRECISE 研究报告 1

Chorev, Michal; Haderlein, Jonas; Chandra, Shruti; Menon, Geeta; Burton, Benjamin J L; Pearce, Ian; McKibbin, Martin; Thottarath, Sridevi; Karatsai, Eleni; Chandak, Swati; Kotagiri, Ajay; Talks, James; Grabowska, Anna; Ghanchi, Faruque; Gale, Richard; Hamilton, Robin; Antony, Bhavna; Garnavi, Rahil; Mareels, Iven; Giani, Andrea; Chong, Victor; Sivaprasad, Sobha

Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural Networks

利用三维卷积神经网络结合黄斑和视盘OCT扫描数据估算青光眼患者的整体视野指数

Yu, Hsin-Hao; Maetschke, Stefan R; Antony, Bhavna J; Ishikawa, Hiroshi; Wollstein, Gadi; Schuman, Joel S; Garnavi, Rahil

Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes

基于多模态时间数据(包括OCT体积数据)预测视网膜神经纤维层厚度

Sedai, Suman; Antony, Bhavna; Ishikawa, Hiroshi; Wollstein, Gadi; Schuman, Joel S; Garnavi, Rahil

Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks

基于深度学习的SDOCT图像自动摘要:迁移学习与全新训练网络的比较

Antony, Bhavna Josephine; Maetschke, Stefan; Garnavi, Rahil

Retinal optical coherence tomography image enhancement via deep learning

基于深度学习的视网膜光学相干断层扫描图像增强

Halupka, Kerry J; Antony, Bhavna J; Lee, Matthew H; Lucy, Katie A; Rai, Ravneet S; Ishikawa, Hiroshi; Wollstein, Gadi; Schuman, Joel S; Garnavi, Rahil