Cargando…

Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry

Retinal oximetry is a non-invasive technique to investigate the hemodynamics, vasculature and health of the eye. Current techniques for retinal oximetry have been plagued by quantitatively inconsistent measurements and this has greatly limited their adoption in clinical environments. To become clini...

Descripción completa

Detalles Bibliográficos
Autores principales:	DePaoli, Damon T., Tossou, Prudencio, Parent, Martin, Sauvageau, Dominic, Côté, Daniel C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684811/ https://www.ncbi.nlm.nih.gov/pubmed/31388136 http://dx.doi.org/10.1038/s41598-019-47621-7

Ejemplares similares

Intact primate brain tissue identification using a completely fibered coherent Raman spectroscopy system
por: DePaoli, Damon T., et al.
Publicado: (2018)

Automated spectroscopic modelling with optimised convolutional neural networks
por: Shen, Zefang, et al.
Publicado: (2021)

Adaptive spectroscopic visible-light optical coherence tomography for clinical retinal oximetry
por: Rubinoff, Ian, et al.
Publicado: (2023)

Endoscopic imaging of white matter fiber tracts using polarization-sensitive optical coherence tomography
por: DePaoli, Damon, et al.
Publicado: (2022)

Advances in Retinal Oximetry
por: Garg, Anupam K., et al.
Publicado: (2021)

Rise of Raman spectroscopy in neurosurgery: a review
por: DePaoli, Damon, et al.
Publicado: (2020)

Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids
por: Kegeles, Evgenii, et al.
Publicado: (2020)

Anisotropic light scattering from myelinated axons in the spinal cord
por: DePaoli, Damon, et al.
Publicado: (2020)

Automatic analysis of normative retinal oximetry images
por: Kumar, J. R. Harish, et al.
Publicado: (2020)

Hypermixed Convolutional Neural Network for Retinal Vein Occlusion Classification
por: Zhang, Guanghua, et al.
Publicado: (2022)

Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data
por: Acquarelli, Jacopo, et al.
Publicado: (2022)

Retinal Oximetry with Scanning Laser Ophthalmoscope in Infants
por: Vehmeijer, Wouter B., et al.
Publicado: (2016)

Retinal Oximetry in a Healthy Japanese Population
por: Nakano, Yuki, et al.
Publicado: (2016)

Handheld Retinal Oximetry in Healthy Young Adults
por: Vehmeijer, Wouter, et al.
Publicado: (2018)

Automation improves repeatability of retinal oximetry measurements
por: Karlsson, Robert Arnar, et al.
Publicado: (2021)

Retinal Vessel Segmentation Algorithm Based on Residual Convolution Neural Network
por: Xu, Shuang, et al.
Publicado: (2021)

Normative Database of Retinal Oximetry in Asian Indian Eyes
por: Mohan, Ashwin, et al.
Publicado: (2015)

Glaucoma related retinal oximetry: a technology update
por: Yap, Zhu Li, et al.
Publicado: (2018)

The influence of simulated cataract on retinal vessel oximetry measurements
por: Heitmar, Rebekka, et al.
Publicado: (2015)

Retinal oximetry using ultrahigh-resolution optical coherence tomography
por: Ye, Yufeng, et al.
Publicado: (2012)

Detection of smoking status from retinal images; a Convolutional Neural Network study
por: Vaghefi, Ehsan, et al.
Publicado: (2019)

Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation
por: Wu, Jin, et al.
Publicado: (2022)

Retinal oximetry with a prototype handheld oximeter during hyperoxia
por: Vehmeijer, Wouter B., et al.
Publicado: (2021)

Dual wavelength retinal vessel oximetry – influence of fundus pigmentation
por: Hirsch, Katrin, et al.
Publicado: (2022)

Adoption of Transformer Neural Network to Improve the Diagnostic Performance of Oximetry for Obstructive Sleep Apnea
por: Almarshad, Malak Abdullah, et al.
Publicado: (2023)

Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules
por: Badawi, Sufian A., et al.
Publicado: (2019)

Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images
por: Masumoto, Hiroki, et al.
Publicado: (2019)

Common sense purchasing: hard knock lessons learned from a purchasing pro
por: DePaoli, Tom
Publicado: (2004)

Convolutional-de-convolutional neural networks for recognition of surgical workflow
por: Chen, Yu-wen, et al.
Publicado: (2022)

Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network
por: GILLSTEDT, Martin, et al.
Publicado: (2022)

RETINAL OXIMETRY IS ALTERED IN EYES WITH CHOROIDAL MELANOMA BUT NOT IN EYES WITH CHOROIDAL NEVI
por: Brouwer, Niels J., et al.
Publicado: (2020)

Sleep Apnea Detection by Tracheal Motion and Sound, and Oximetry via Application of Deep Neural Networks
por: Montazeri Ghahjaverestan, Nasim, et al.
Publicado: (2023)

Non-invasive assessment of cerebral oxygenation: A comparison of retinal and transcranial oximetry
por: Van Keer, Karel, et al.
Publicado: (2018)

Activity landscape image analysis using convolutional neural networks
por: Iqbal, Javed, et al.
Publicado: (2020)

Metaheuristic Algorithms for Convolution Neural Network
por: Rere, L. M. Rasdi, et al.
Publicado: (2016)

Phylogenetic convolutional neural networks in metagenomics
por: Fioravanti, Diego, et al.
Publicado: (2018)

Uncertainty handling in convolutional neural networks
por: Rashno, Elyas, et al.
Publicado: (2022)

Neural encoding with unsupervised spiking convolutional neural network
por: Wang, Chong, et al.
Publicado: (2023)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

A practical approach to Convolutional Neural Networks (lecture)
por: Campora Perez, Daniel Hugo
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_vb3gno1jchf49otk3ue4tolk41