research
∙
02/28/2022
Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation
Quality assessment of prenatal ultrasonography is essential for the scre...
share
research
∙
10/07/2019
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
Purpose: To remove retinal shadows from optical coherence tomography (OC...
research
∙
09/01/2019
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images
Accurate isolation and quantification of intraocular dimensions in the a...
research
∙
09/27/2018
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
Purpose: To develop a deep learning approach to de-noise optical coheren...
research
∙
03/01/2018
