Texture Modeling in Optical Coherence Tomography Images

Other Related Docs

9. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms, IEEE Transactions on Biomedical Engineering (2018)

10. Synthetic Oct Data in Challenging Conditions: Three-Dimensional Oct and Presence of Abnormalities, Medical and Biological Engineering and Computing (2022)

11. A Review of Algorithms for Segmentation of Optical Coherence Tomography From Retina, Journal of Medical Signals and Sensors (2013)

12. Retinal Optical Coherence Tomography Image Analysis by a Restricted Boltzmann Machine, Biomedical Optics Express (2022)

13. Optical Coherence Tomography Image Denoising Using Gaussianization Transform, Journal of Biomedical Optics (2017)

14. A New Texture-Based Labeling Framework for Hyper-Reflective Foci Identification in Retinal Optical Coherence Tomography Images, Scientific Reports (2024)

15. Super-Resolution of Retinal Optical Coherence Tomography Images Using Statistical Modeling, Journal of Medical Signals and Sensors (2024)

16. Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images Using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier, Journal of Biomedical Optics (2018)

17. Optical Coherence Tomography Retinal Image Reconstruction Via Nonlocal Weighted Sparse Representation, Journal of Biomedical Optics (2018)

18. Forming Projection Images From Each Layer of Retina Using Diffusion May Based Oct Segmentation, 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (2012)

19. Retinal Oct Image Denoising Based on Adaptive Bessel K-Form Modeling, 2023 30th National and 8th International Iranian Conference on Biomedical Engineering, ICBME 2023 (2023)

20. Curvature Correction of Retinal Octs Using Graph-Based Geometry Detection, Physics in Medicine and Biology (2013)

21. Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising, IEEE Transactions on Medical Imaging (2021)

22. Morphological Component Analysis for Automatic Segmentation of Six Lower Retina Layers in Optical Coherence Tomography Images, Journal of Isfahan Medical School (2016)

23. A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying Tv-Unet for Rpe Layer Detection, IEEE Transactions on Instrumentation and Measurement (2022)

24. Macular Oct Classification Using a Multi-Scale Convolutional Neural Network Ensemble, IEEE Transactions on Medical Imaging (2018)

25. Tensor Ring Decomposition Guided Dictionary Learning for Oct Image Denoising, IEEE Transactions on Medical Imaging (2024)

26. An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images Using Gaussian Mixture Model, Journal of Medical Signals and Sensors (2014)

27. Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images, Scientific Reports (2021)

28. Evaluation of Asymmetricity of Retinal Nerve Fiber Layer and Total Retina in Right and Left Eyes of Normal Subjects Using Extracted Features From Optical Coherence Tomography, Journal of Isfahan Medical School (2013)

29. Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map, Medical Image Analysis (2013)

30. Bandlets on Oriented Graphs: Application to Medical Image Enhancement, IEEE Access (2019)

31. Statistical Modeling of Retinal Optical Coherence Tomography Using the Weibull Mixture Model, Biomedical Optics Express (2021)

32. Wavelet-Based Convolutional Mixture of Experts Model: An Application to Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images, Iranian Conference on Machine Vision and Image Processing, MVIP (2017)

33. Comparison of Macular Octs in Right and Left Eyes of Normal People, Progress in Biomedical Optics and Imaging - Proceedings of SPIE (2014)

34. Retinal Oct Texture Analysis for Differentiating Healthy Controls From Multiple Sclerosis (Ms) With/Without Optic Neuritis, BioMed Research International (2021)

35. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)

36. Fully-Automated Segmentation of Fluid Regions in Exudative Age-Related Macular Degeneration Subjects: Kernel Graph Cut in Neutrosophic Domain, PLoS ONE (2017)

37. Automatic Classification of Retinal Three-Dimensional Optical Coherence Tomography Images Using Principal Component Analysis Network With Composite Kernels, Journal of Biomedical Optics (2017)

38. Evaluation of Asymmetry in Right and Left Eyes of Normal Individuals Using Extracted Features From Optical Coherence Tomography and Fundus Images, Journal of Medical Signals and Sensors (2021)

39. Three-Dimensional Curvelet-Based Dictionary Learning for Speckle Noise Removal of Optical Coherence Tomography, Biomedical Optics Express (2020)

40. Optimal Deep Learning Architecture for Automated Segmentation of Cysts in Oct Images Using X-Let Transforms, Diagnostics (2023)

41. Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification, IEEE Transactions on Medical Imaging (2019)

42. Automatic Production of Synthetic Labelled Oct Images Using an Active Shape Model Hajar Danesh, IET Image Processing (2020)

43. Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain, International Journal of Biomedical Imaging (2013)

44. Optical Coherence Tomography Noise Reduction Over Learned Dictionaries With Introduction of Complex Wavelet for Start Dictionary, Proceedings of SPIE - The International Society for Optical Engineering (2013)

45. Alignment of Optic Nerve Head Optical Coherence Tomography B-Scans in Right and Left Eyes, Proceedings - International Conference on Image Processing, ICIP (2017)

Style	Citing Format
MLA	Monemian M, Rabbani H. "Texture Modeling in Optical Coherence Tomography Images." Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications, vol. , no. , 2024, pp. 72-93.
APA	Monemian M, Rabbani H (2024). Texture Modeling in Optical Coherence Tomography Images. Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications, (), 72-93.
Chicago	Monemian M, Rabbani H. "Texture Modeling in Optical Coherence Tomography Images." Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications , no. (2024): 72-93.
Harvard	Monemian M, Rabbani H (2024) 'Texture Modeling in Optical Coherence Tomography Images', Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications, (), pp. 72-93.
Vancouver	Monemian M, Rabbani H. Texture Modeling in Optical Coherence Tomography Images. Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications. 2024;():72-93.
BibTex	@article{ author = {Monemian M and Rabbani H}, title = {Texture Modeling in Optical Coherence Tomography Images}, journal = {Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications}, volume = {}, number = {}, pages = {72-93}, year = {2024} }
RIS	TY - JOUR AU - Monemian M AU - Rabbani H TI - Texture Modeling in Optical Coherence Tomography Images JO - Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications VL - IS - SP - 72 EP - 93 PY - 2024 ER -

Science Communicator Platform

Authors

Authors Affiliations

Abstract