Relevant bibliographies by topics / 3D Retinal Reconstruction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic '3D Retinal Reconstruction'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "3D Retinal Reconstruction"

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Marciniak, Tomasz, Agnieszka Stankiewicz, and Przemyslaw Zaradzki. "Neural Networks Application for Accurate Retina Vessel Segmentation from OCT Fundus Reconstruction." Sensors 23, no. 4 (2023): 1870. http://dx.doi.org/10.3390/s23041870.

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The use of neural networks for retinal vessel segmentation has gained significant attention in recent years. Most of the research related to the segmentation of retinal blood vessels is based on fundus images. In this study, we examine five neural network architectures to accurately segment vessels in fundus images reconstructed from 3D OCT scan data. OCT-based fundus reconstructions are of much lower quality compared to color fundus photographs due to noise and lower and disproportionate resolutions. The fundus image reconstruction process was performed based on the segmentation of the retina
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Lee, In-Kyu, Allison L. Ludwig, M. Joseph Phillips, et al. "Ultrathin micromolded 3D scaffolds for high-density photoreceptor layer reconstruction." Science Advances 7, no. 17 (2021): eabf0344. http://dx.doi.org/10.1126/sciadv.abf0344.

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Polymeric scaffolds are revolutionizing therapeutics for blinding disorders affecting the outer retina, a region anatomically and functionally defined by light-sensitive photoreceptors. Recent engineering advances have produced planar scaffolds optimized for retinal pigment epithelium monolayer delivery, which are being tested in early-stage clinical trials. We previously described a three-dimensional scaffold supporting a polarized photoreceptor monolayer, but photoreceptor somata typically occupy multiple densely packed strata to maximize light detection. Thus, patients with severe photorece
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Malek, Jihene, and Ahmad Taher Azar. "3D surface reconstruction of retinal vascular structures." International Journal of Modelling, Identification and Control 26, no. 4 (2016): 303. http://dx.doi.org/10.1504/ijmic.2016.081131.

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Malek, Jihene, and Ahmad Taher Azar. "3D surface reconstruction of retinal vascular structures." International Journal of Modelling, Identification and Control 26, no. 4 (2016): 303. http://dx.doi.org/10.1504/ijmic.2016.10002135.

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Bielmeier, Christina B., Saskia Roth, Sabrina I. Schmitt, et al. "Transcriptional Profiling Identifies Upregulation of Neuroprotective Pathways in Retinitis Pigmentosa." International Journal of Molecular Sciences 22, no. 12 (2021): 6307. http://dx.doi.org/10.3390/ijms22126307.

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Hereditary retinal degenerations like retinitis pigmentosa (RP) are among the leading causes of blindness in younger patients. To enable in vivo investigation of cellular and molecular mechanisms responsible for photoreceptor cell death and to allow testing of therapeutic strategies that could prevent retinal degeneration, animal models have been created. In this study, we deeply characterized the transcriptional profile of mice carrying the transgene rhodopsin V20G/P23H/P27L (VPP), which is a model for autosomal dominant RP. We examined the degree of photoreceptor degeneration and studied the
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RODRIGUES, P., P. GUIMARãES, P. SERRANHO, and R. BERNARDES. "Enhanced 3D retinal vascular network reconstruction from high-definition SD-OCT." Acta Ophthalmologica 91 (August 2013): 0. http://dx.doi.org/10.1111/j.1755-3768.2013.4464.x.

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PROF., SUBHASH S. PATIL. "OVERVIEW OF ARTERY AND VEIN CLASSIFICATION IN RETINAL IMAGES USING GRAPH BASED APPROACH." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 6 (2016): 87–95. https://doi.org/10.5281/zenodo.1463716.

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<strong>To investigate whether retinal vessel caliber measurements on optical retinal Photography are affected by light and dark exposure prior to photography. Whether the vessel caliber changes during an imaging sequence,Digital optical retinal photographs which is obtained from 32 healthy Adults in two separate image sequences of six images during 1 min;one sequence with of dark exposure and one with of light exposure for 10 min each of prior to imaging. Retinal arteriolar and venular calibers were measured computer - assisted and summarized as central retinal artery and vein equivalents (CR
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Miller, Donald T., and Kazuhiro Kurokawa. "Cellular-Scale Imaging of Transparent Retinal Structures and Processes Using Adaptive Optics Optical Coherence Tomography." Annual Review of Vision Science 6, no. 1 (2020): 115–48. http://dx.doi.org/10.1146/annurev-vision-030320-041255.

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High-resolution retinal imaging is revolutionizing how scientists and clinicians study the retina on the cellular scale. Its exquisite sensitivity enables time-lapse optical biopsies that capture minute changes in the structure and physiological processes of cells in the living eye. This information is increasingly used to detect disease onset and monitor disease progression during early stages, raising the possibility of personalized eye care. Powerful high-resolution imaging tools have been in development for more than two decades; one that has garnered considerable interest in recent years
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Zhang, Jiong, Shuai Yu, Yonghuai Liu, et al. "3D microvascular reconstruction in retinal OCT angiography images via domain-adaptive learning." Pattern Recognition 165 (September 2025): 111494. https://doi.org/10.1016/j.patcog.2025.111494.

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Baamonde, Sergio, Joaquim de Moura, Jorge Novo, Pablo Charlón, and Marcos Ortega. "Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes." Sensors 19, no. 23 (2019): 5269. http://dx.doi.org/10.3390/s19235269.

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Optical Coherence Tomography (OCT) is a medical image modality providing high-resolution cross-sectional visualizations of the retinal tissues without any invasive procedure, commonly used in the analysis of retinal diseases such as diabetic retinopathy or retinal detachment. Early identification of the epiretinal membrane (ERM) facilitates ERM surgical removal operations. Moreover, presence of the ERM is linked to other retinal pathologies, such as macular edemas, being among the main causes of vision loss. In this work, we propose an automatic method for the characterization and visualizatio
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Dissertations / Theses on the topic "3D Retinal Reconstruction"

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Amaro, Da Costa Luz Carneiro Joao Paulo. "Asynchronous event-based 3d vision." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066593/document.

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L’implementation de la vision biologique sur machine est un problème majeur que la recherche actuelle a à peine effleuré la surface. Les organismes vivants sont capables de réaliser des tâches visuelles très complexes et de manière très efficace. La stéréovision fait partie de ces mécanismes complexes que les sci- entifiques tentent de reproduire à l’aide de caméras à haute résolution. Cette thèse aborde le problème de la stéréovision d’une manière neuromorphique par l’intermédiaire d’une nouvelle génération de capteurs de vision appelés ”rétines de silicium”. Ces rétines de silicium imitent les ré
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Book chapters on the topic "3D Retinal Reconstruction"

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de Moura, Joaquim, Jorge Novo, Marcos Ortega, and Pablo Charlón. "3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41501-7_80.

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Conference papers on the topic "3D Retinal Reconstruction"

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Qiu, Wenli. "Research on Retinex-Gamma Image Enhancement Algorithm Based on Lab Space in 3D Reconstruction Scene." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10957974.

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Guo, Fan, Xin Zhao, Beiji Zou, and Pingbo Ouyang. "3D Reconstruction and Registration for Retinal Image Pairs." In 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC). IEEE, 2018. http://dx.doi.org/10.1109/icivc.2018.8492769.

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Zhang, Yuhua, and Boyu Gu. "Wavefront reconstruction using a damped transpose matrix of the influence function." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/3d.2022.jw5a.5.

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This research developed a wavefront reconstruction method using a damped transpose matrix of the influence function and experimental results for evaluating the performance of deformable mirrors and adaptive optics retinal imaging systems.
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Akter, Nahida, Jermyn Young, Nicola Lee, and Maitreyee Roy. "3D Reconstruction of Retinal Vascular Structure from 2D OCT-A Images for Glaucoma Diagnosis." In 3D Image Acquisition and Display: Technology, Perception and Applications. OSA, 2020. http://dx.doi.org/10.1364/3d.2020.jtu2a.43.

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Espinosa-Romero, Arturo, and M. Elena Martinez-Perez. "Optical 3D reconstruction of retinal blood vessels from a sequence of views." In Merida - DL Tentative, edited by R. Rodriguez-Vera and F. Mendoza-Santoyo. SPIE, 2005. http://dx.doi.org/10.1117/12.611835.

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Aldana-Iuit, Javier, M. Elena Martinez-Perez, Arturo Espinosa-Romero, and Rufino Diaz-Uribe. "Minimizing camera-eye optical aberrations during the 3D reconstruction of retinal structures." In SPIE Photonics Europe, edited by Peter Schelkens, Touradj Ebrahimi, Gabriel Cristóbal, Frédéric Truchetet, and Pasi Saarikko. SPIE, 2010. http://dx.doi.org/10.1117/12.851379.

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Motta, Danilo, Luciana de Matos, Amanda Caniatto de Souza, Rafael Marcato, Afonso Paiva, and Luis Alberto Vieira de Carvalho. "All-in-focus imaging technique used to improve 3D retinal fundus image reconstruction." In SAC 2015: Symposium on Applied Computing. ACM, 2015. http://dx.doi.org/10.1145/2695664.2695845.

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Troendle, Evan, Peter Barabas, and Tim Curtis. "Geometrically reconstructing confocal microscopy images for modelling the retinal microvasculature as a 3D cylindrical network." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/ktxe9847.

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Microvascular networks can be modelled as a network of connected cylinders. Presently, however, there are limited approaches with which to recover these networks from biomedical images. We have therefore developed and implemented computer algorithms to geometrically reconstruct three-dimensional (3D) retinal microvascular networks from micrometre-scale imagery, resulting in a concise representation of two endpoints and radius for each cylinder detected within a delimited text file. This format is suitable for a variety of purposes, including efficient simulations of molecular delivery. Here, w
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Bharadwaj, Medha Sateesh, Chaitra Chandrasekhar, H. N. Suma, Appaji M. Abhishek, and Anand S. Vinekar. "Evaluating pseudo 3D reconstruction of retinal images as a tool for retinopathy of prematurity screening." In 2015 IEEE International Advanced Computing Conference (IACC). IEEE, 2015. http://dx.doi.org/10.1109/iadcc.2015.7154850.

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López-Varela, Emilio, Noelia Barreira, Nuria Olivier Pascual, and Manuel Penedo. "Enhancing Pathological Detection and Monitoring in OCT Volumes with Limited Slices using Convolutional Neural Networks and 3D Visualization Techniques." In Congreso XoveTIC: impulsando el talento científico (6º. 2023. A Coruña). Servizo de Publicacions. Universidade da Coruña, 2023. http://dx.doi.org/10.17979/spudc.000024.23.

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Optical Coherence Tomography (OCT) is a non-invasive imaging technique with a crucial role in the monitoring of a wide range of diseases. In order to make a good diagnosis it is essential that clinicians can observe any subtle changes that appear in the multiple ocular structures, so it is imperative that the 3D OCT volumes have good resolution in each axis. Unfortunately, there is a trade-off between image quality and the number of volume slices. In this work, we use a convolutional neural network to generate the intermediate synthetic slices of the OTC volumes and we propose a few variants o
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