| _ | oct | _ |
|---|
| 3-D Stent Detection in Intravascular | oct | Using a Bayesian Network and Graph Search |
| 3D microvascular reconstruction in retinal | oct | angiography images via domain-adaptive learning |
| 3D Retinal Vessel Tree Segmentation and Reconstruction with | oct | Images |
| 3D Shape Modeling and Analysis of Retinal Microvasculature in | oct | -Angiography Images |
| 3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal | oct | s |
| Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal | oct | Images |
| AMD Classification in Choroidal | oct | Using Hierarchical Texton Mining |
| Application of Quadratic Measure Filters to the Segmentation of Chorio-Retinal | oct | Data, An |
| Artery Wall Extraction from Intravascular | oct | Images |
| Assignment Flow for Order-Constrained | oct | Segmentation |
| Attennet: Deep Attention Based Retinal Disease Classification in | oct | Images |
| Automated Computational Diagnosis of Peripheral Retinal Pathology in Optical Coherence Tomography ( | oct | ) Scans using Graph Theory |
| Automated delineation of corneal layers on | oct | images using a boundary-guided CNN |
| Automated retinal layer segmentation in | oct | images of age-related macular degeneration |
| Automated segmentation of diabetic macular edema in | oct | B-scan images based on RCU-Net |
| Automated segmentation of macular layers in | oct | images and quantitative evaluation of performances |
| Automated segmentation of RPE layer for the detection of age macular degeneration using | oct | images |
| Automatic Detection and Characterization of Biomarkers in | oct | Images |
| Automatic Extraction of Layer Structure for Retina in | oct | Image Using Morphological Operation and Active Net |
| Automatic production of synthetic labelled | oct | images using an active shape model |
| Automatic Retinal Minimum Distance Band (MDB)Computation from SD- | oct | Images |
| Automatic Robust Segmentation of Retinal Layers in | oct | Images with Refinement Stages |
| Automatic Segmentation of Retinal Layer in | oct | Images With Choroidal Neovascularization |
| Automatically Determining the Confocal Parameters From | oct | B-Scans for Quantification of the Attenuation Coefficients |
| AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in | oct | Angiography |
| BAM: Block attention mechanism for | oct | image classification |
| BIAN: Bidirectional interwoven attention network for retinal | oct | image classification |
| Blood vessel extraction from | oct | data by short-time RPCA |
| Calibration Matters: Prototype-Aware Diffusion for | oct | Cervical Classification With Calibration |
| CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina | oct | Image Classification and Segmentation |
| Classifying DME vs normal SD- | oct | volumes: A review |
| Combining Non-Data-Adaptive Transforms for | oct | Image Denoising by Iterative Basis Pursuit |
| Comprehensive Assessment of Coronary Calcification in Intravascular | oct | Using a Spatial-Temporal Encoder-Decoder Network |
| Construction of a Retinal Atlas for Macular | oct | Volumes |
| Context-Aware Real-Time Semantic View Expansion of Intraoperative 4D | oct | |
| Contrast enhancement and speckle suppression in | oct | images based on a selective weighted variational enhancement model and an SP-FOOPDE algorithm |
| Contrast-Aware Edge Enhancement GAN for Unpaired Anterior Segment | oct | Image Denoising, A |
| Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In | oct | Images |
| Curvelet domain image fusion of | oct | and fundus imagery using convolution of Meridian distributions |
| Deep Convolutional Neural Network Prediction for Glaucoma Detection Using | oct | and OCT-Angiography Disc-and Macula-Centered Images and Their Combined Power |
| Deep Convolutional Neural Network Prediction for Glaucoma Detection Using | oct | and OCT-Angiography Disc-and Macula-Centered Images and Their Combined Power |
| Deep Retinal Diseases Detection and Explainability Using | oct | Images |
| Deep-Learning-Based Fast Optical Coherence Tomography ( | oct | ) Image Denoising for Smart Laser Osteotomy |
| Detection and Tracking of the Pores of the Lamina Cribrosa in Three Dimensional SD- | oct | Data |
| Disc segmentation and BMO-MRW measurement from SD- | oct | image using graph search and tracing of three bench mark reference layers of retina |
| Discriminative atoms embedding relation dual network for classification of choroidal neovascularization in | oct | images |
| Distilling | oct | cervical dataset with evidential uncertainty proxy |
| Distinctive Phase Interdependency Model for Retinal Vasculature Delineation in | oct | -Angiography Images |
| EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD- | oct | images |
| Edge detection of retinal | oct | image based on complex shearlet transform |
| Efficient | oct | Image Segmentation Using Neural Architecture Search |
| Enhanced multiple sclerosis diagnosis using high-resolution 3D | oct | volumes with synthetic slices |
| Enhanced | oct | chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation |
| Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal | oct | |
| Extracting Blood Vessels From Full-Field | oct | Data of Human Skin by Short-Time RPCA |
| Faster R-CNN, fourth-order partial differential equation and global-local active contour model (FPDE-GLACM) for plaque segmentation in IV- | oct | image |
| Few-shot segmentation for esophageal | oct | images based on self-supervised vision transformer |
| fine-to-coarse-to-fine weakly supervised framework for volumetric SD- | oct | image segmentation, A |
| Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD- | oct | , A |
| Fully Convolutional Network and Graph-Based Method for Co-Segmentation of Retinal Layer on Macular | oct | Images |
| generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD- | oct | images, A |
| Glaucoma Detection From Raw Circumpapillary | oct | Images Using Fully Convolutional Neural Networks |
| Gradient-Based Severity Labeling for Biomarker Classification in | oct | |
| Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in | oct | Images |
| Graph-Based Multi-Surface Segmentation of | oct | Data Using Trained Hard and Soft Constraints |
| HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS- | oct | |
| High/Low Quality Style Transfer for Mutual Conversion of | oct | Images Using Contrastive Unpaired Translation Generative Adversarial Networks |
| Hybrid Variation-Aware Network for Angle-Closure Assessment in AS- | oct | |
| Improved automated detection of glaucoma by correlating fundus and SD- | oct | image analysis |
| Improvement of Decorrelation-Based | oct | Angiography by an Adaptive Spatial-Temporal Kernel in Monitoring Stimulus-Evoked Hemodynamic Responses |
| Innovative 3D Adaptive Patient-Related Atlas for Automatic Segmentation of Retina Layers from | oct | Images, An |
| Intra- and Inter-Slice Contrastive Learning for Point Supervised | oct | Fluid Segmentation |
| Investigation of | oct | Images Descriptions on the Base of Representational MDL Principle |
| Joint Motion Correction and 3D Segmentation with Graph-Assisted Neural Networks for Retinal | oct | |
| Joint Segmentation of Retinal Layers and Focal Lesions in 3-D | oct | Data of Topologically Disrupted Retinas |
| Learning to Correct Axial Motion in | oct | for 3D Retinal Imaging |
| Leveraging Complementary Attention Maps in Vision Transformers for | oct | Image Analysis |
| Macular | oct | Classification Using a Multi-Scale Convolutional Neural Network Ensemble |
| Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD- | oct | |
| Modality-specificity multi-aware evidence fusion algorithm using CFP and | oct | for fundus diseases diagnosis |
| modified capsule network algorithm for | oct | corneal image segmentation, A |
| Monitoring Acute Stroke Progression: Multi-Parametric | oct | Imaging of Cortical Perfusion, Flow, and Tissue Scattering in a Mouse Model of Permanent Focal Ischemia |
| Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From | oct | Volumes |
| MsTGANet: Automatic Drusen Segmentation From Retinal | oct | Images |
| Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for | oct | Images, A |
| Multi-Scale Pathological Fluid Segmentation in | oct | With a Novel Curvature Loss in Convolutional Neural Network |
| MultiEYE: Dataset and Benchmark for | oct | -Enhanced Retinal Disease Recognition From Fundus Images |
| Multimodal Segmentation of Optic Disc and Cup From SD- | oct | and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach |
| MuTri: Multi-view Tri-alignment for | oct | to OCTA 3D Image Translation |
| novel automatic segmentation of healthy and diseased retinal layers from | oct | scans, A |
| oct | chorio-retinal segmentation with adversarial loss |
| oct | Image Segmentation Using Neural Architecture Search and SRGAN |
| oct | retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation |
| oct | Volumetric Data Restoration with Latent Distribution of Refractive Index |
| oct | -Trees (or Octrees) and Voxels for Three-Dimensional Descriptions |
| oct | -Trees -- Theoretical Issues |
| oct | -Trees -- Use |
| oct | -trees and Their Use in Representing Three-Dimensional Objects |
| oct | Rexpert: A Feature-Based 3D Registration Method for Retinal OCT Images |
| Optimal Transport-Based Graph Matching for 3D Retinal | oct | Image Registration |
| Parallel Double Snakes. Application to the segmentation of retinal layers in 2D- | oct | for pathological subjects |
| Pathological Retinal Region Segmentation From | oct | Images Using Geometric Relation Based Augmentation |
| Patient Aware Active Learning for Fine-Grained | oct | Classification |
| PolarFormer: A Transformer-Based Method for Multi-Lesion Segmentation in Intravascular | oct | |
| Quad-Trees, | oct | -Trees, and K-Trees: A Generalized Approach to Recursive Decomposition of Euclidean Space |
| Regional context-based recalibration network for cataract recognition in AS- | oct | |
| RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal | oct | Fluid Segmentation |
| Retinal Images, Optical Coherence Tomography, | oct | |
| Retinal Layer Segmentation in | oct | Images With Boundary Regression and Feature Polarization |
| RETOUCH: The Retinal | oct | Fluid Detection and Segmentation Benchmark and Challenge |
| ROSE: A Retinal | oct | -Angiography Vessel Segmentation Dataset and New Model |
| RSAPower: Random Style Augmentation Driven Structure Perception Network for Generalized Retinal | oct | Fluid Segmentation |
| SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in | oct | |
| Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment | oct | |
| Segmentation of | oct | skin images by classification of speckle statistical parameters |
| Segmentation of the Optic Disc in 3-D | oct | Scans of the Optic Nerve Head |
| Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in | oct | -A imaging |
| Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal | oct | Images |
| SNR-Adaptive | oct | Angiography Enabled by Statistical Characterization of Intensity and Decorrelation With Multi-Variate Time Series Model |
| Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal | oct | Images |
| SSP-Regularizer: A Star Shape Prior Based Regularizer for Vessel Lumen Segmentation in | oct | Images |
| Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical | oct | Data |
| Structure-Guided Cross-Attention Network for Cross-Domain | oct | Fluid Segmentation |
| Super-resolution algorithm for the characterization of sweat glands in fingerprint | oct | images |
| Synthetic | oct | data for image processing performance testing |
| Tensor Ring Decomposition Guided Dictionary Learning for | oct | Image Denoising |
| Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD- | oct | of the Macula |
| Three-dimensional choroid neovascularization growth prediction from longitudinal retinal | oct | images based on a hybrid model |
| Three-Dimensional Segmentation of Fluid-Associated Abnormalities in Retinal | oct | : Probability Constrained Graph-Search-Graph-Cut |
| Tracking the Optic Nervehead in | oct | Video Using Dual Eigenspaces and an Adaptive Vascular Distribution Model |
| Training With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field | oct | Images |
| Ultra-Widefield | oct | Angiography |
| Undecimated hierarchical active contours for | oct | image segmentation |
| uniform representation model for | oct | -based fingerprint presentation attack detection and reconstruction, A |
| Unsupervised Identification of Disease Marker Candidates in Retinal | oct | Imaging Data |
| Untrained Network Prior With Spectral Bias Compensation for Speckle Removal in AS- | oct | |
| Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal | oct | images |
| variational approach to automatic segmentation of RNFL on | oct | data sets of the retina, A |
| X-Let's Atom Combinations for Modeling and Denoising of | oct | Images by Modified Morphological Component Analysis |
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