Optical coherence tomography and glaucoma
A Geevarghese, G Wollstein, H Ishikawa… - Annual review of …, 2021 - annualreviews.org
Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
[HTML][HTML] SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging
method for the in vivo mapping of brain tissue microstructure and white matter tracts …
method for the in vivo mapping of brain tissue microstructure and white matter tracts …
Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network
Optical coherence tomography (OCT) has become a very promising diagnostic method in
clinical practice, especially for ophthalmic diseases. However, speckle noise and low …
clinical practice, especially for ophthalmic diseases. However, speckle noise and low …
[HTML][HTML] Endpoints for clinical trials in ophthalmology
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
Glaucoma management in the era of artificial intelligence
Glaucoma is a result of irreversible damage to the retinal ganglion cells. While an early
intervention could minimise the risk of vision loss in glaucoma, its asymptomatic nature …
intervention could minimise the risk of vision loss in glaucoma, its asymptomatic nature …
Noise-powered disentangled representation for unsupervised speckle reduction of optical coherence tomography images
Due to its noninvasive character, optical coherence tomography (OCT) has become a
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
SiameseGAN: a generative model for denoising of spectral domain optical coherence tomography images
NA Kande, R Dakhane, A Dukkipati… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a standard diagnostic imaging method for
assessment of ophthalmic diseases. The speckle noise present in the high-speed OCT …
assessment of ophthalmic diseases. The speckle noise present in the high-speed OCT …
Real-time noise reduction based on ground truth free deep learning for optical coherence tomography
Y Huang, N Zhang, Q Hao - Biomedical Optics Express, 2021 - opg.optica.org
Optical coherence tomography (OCT) is a high-resolution non-invasive 3D imaging
modality, which has been widely used for biomedical research and clinical studies. The …
modality, which has been widely used for biomedical research and clinical studies. The …
Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images
B Qiu, S Zeng, X Meng, Z Jiang, Y You… - Journal of …, 2021 - Wiley Online Library
As a powerful diagnostic tool, optical coherence tomography (OCT) has been widely used in
various clinical setting. However, OCT images are susceptible to inherent speckle noise that …
various clinical setting. However, OCT images are susceptible to inherent speckle noise that …