187 citations
- University College LondonGB6 papers
- Moorfields Eye Hospital NHS Foundation TrustGB4 papers
- Moorfields Eye HospitalGB3 papers
- University of WashingtonUS3 papers
- BioLegend (United States)US2 papers
- ETH ZurichCH2 papers
- Immune Regulation (United Kingdom)GB2 papers
- Imperial College LondonGB2 papers
- Indiana University BloomingtonUS2 papers
- Institute of Infection and ImmunityCA2 papers
- Institute of Molecular and Clinical Ophthalmology BaselCH2 papers
- Instituto do Câncer do Estado de São PauloBR2 papers
5 papers · 1 filter
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
Taha Emre, Arunava Chakravarty, Antoine Rivail +10
Self-supervised learning (SSL) has emerged as a powerful technique for improving the efficiency and effectiveness of deep learning models. Contrastive methods are a prominent famil…
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty +9
In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression. However, the size of these models presen…
Forecasting Future Humphrey Visual Fields Using Deep Learning
Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane +5
Purpose: To determine if deep learning networks could be trained to forecast a future 24-2 Humphrey Visual Field (HVF). Participants: All patients who obtained a HVF 24-2 at the Un…
Deep learning for predicting refractive error from retinal fundus images
Avinash V. Varadarajan, Ryan Poplin, Katy Blumer +7
Refractive error, one of the leading cause of visual impairment, can be corrected by simple interventions like prescribing eyeglasses. We trained a deep learning algorithm to predi…
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary +2
We have developed and trained a convolutional neural network to automatically and simultaneously segment optic disc, fovea and blood vessels. Fundus images were normalised before s…