Philippe Burlina
Johns Hopkins University(US)Johns Hopkins University Applied Physics Laboratory(US)
Publications by Year
Research Areas
Retinal Imaging and Analysis, Adversarial Robustness in Machine Learning, Retinal Diseases and Treatments, Remote-Sensing Image Classification, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks(2017)667 cited
- → Deep learning in ophthalmology: The technical and clinical considerations(2019)502 cited
- → A support vector method for anomaly detection in hyperspectral imagery(2006)375 cited
- → Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis(2017)225 cited
- → AI for medical imaging goes deep(2018)206 cited
- → Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration(2018)166 cited