80 citations · 84 across the 5 of their papers we have counts for
5 papers
Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis
Fabian A. Braeu, Alexandre H. Thiéry, Tin A. Tun +4
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morphological changes during the development and progression of glaucoma. Optical coherence tomography (OCT) is th…
3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
Michaël J. A. Girard, Satish K. Panda, Tin Aung Tun +7
Purpose: (1) To develop a deep learning algorithm to identify major tissue structures of the optic nerve head (ONH) in 3D optical coherence tomography (OCT) scans; (2) to exploit s…
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence
Satish K. Panda, Haris Cheong, Tin A. Tun +8
The optic nerve head (ONH) typically experiences complex neural- and connective-tissue structural changes with the development and progression of glaucoma, and monitoring these cha…
OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head
Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich +8
Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians.…
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
Natesh S. Pillai, Andrew M. Stuart, Alexandre H. Thiéry
The Metropolis-adjusted Langevin (MALA) algorithm is a sampling algorithm which makes local moves by incorporating information about the gradient of the logarithm of the target den…