Hagar Khalid

According to our database, Hagar Khalid authored at least 3 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn H. Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Clara I. Sánchez, Adnan Tufail

CoRR, 2022

2021

Code-free deep learning for multi-modality medical image classification.

Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane

Nat. Mach. Intell., 2021

2019

A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images.

Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019