Past, present and future role of retinal imaging in neurodegenerative disease
AH Kashani, S Asanad, JW Chan, MB Singer… - Progress in retinal and …, 2021 - Elsevier
Retinal imaging technology is rapidly advancing and can provide ever-increasing amounts
of information about the structure, function and molecular composition of retinal tissue in …
of information about the structure, function and molecular composition of retinal tissue in …
[HTML][HTML] State-of-the-art in retinal optical coherence tomography image analysis
Optical coherence tomography (OCT) is an emerging imaging modality that has been widely
used in the field of biomedical imaging. In the recent past, it has found uses as a diagnostic …
used in the field of biomedical imaging. In the recent past, it has found uses as a diagnostic …
A deep learning approach to denoise optical coherence tomography images of the optic nerve head
Optical coherence tomography (OCT) has become an established clinical routine for the in
vivo imaging of the optic nerve head (ONH) tissues, that is crucial in the diagnosis and …
vivo imaging of the optic nerve head (ONH) tissues, that is crucial in the diagnosis and …
Efficient reduction of speckle noise in Optical Coherence Tomography
Speckle pattern, which is inherent in coherence imaging, influences significantly axial and
transversal resolution of Optical Coherence Tomography (OCT) instruments. The well known …
transversal resolution of Optical Coherence Tomography (OCT) instruments. The well known …
Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images
Standard optical coherence tomography (OCT) in combination with software tools can be
harnessed to generate vascular maps in vivo. In this study we have successfully combined a …
harnessed to generate vascular maps in vivo. In this study we have successfully combined a …
Retinal optical coherence tomography image enhancement via deep learning
KJ Halupka, BJ Antony, MH Lee, KA Lucy… - Biomedical optics …, 2018 - opg.optica.org
Optical coherence tomography (OCT) images of the retina are a powerful tool for diagnosing
and monitoring eye disease. However, they are plagued by speckle noise, which reduces …
and monitoring eye disease. However, they are plagued by speckle noise, which reduces …
Three dimensional data-driven multi scale atomic representation of optical coherence tomography
In this paper, we discuss about applications of different methods for decomposing a signal
over elementary waveforms chosen in a family called a dictionary (atomic representations) …
over elementary waveforms chosen in a family called a dictionary (atomic representations) …
DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images
Speckle is a major quality degrading factor in optical coherence tomography (OCT) images.
In this work we propose a new deep learning network for speckle reduction in retinal OCT …
In this work we propose a new deep learning network for speckle reduction in retinal OCT …
Probability-based non-local means filter for speckle noise suppression in optical coherence tomography images
H Yu, J Gao, A Li - Optics letters, 2016 - opg.optica.org
In this Letter, a probability-based non-local means filter is proposed for speckle reduction in
optical coherence tomography (OCT). Originally developed for additive white Gaussian …
optical coherence tomography (OCT). Originally developed for additive white Gaussian …
Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography
We applied compressed sensing (CS) to spectral domain optical coherence tomography
(SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly …
(SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly …