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Related papers: Representation learning from OCT images

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Optical coherence tomography angiography (OCTA) is a non-invasive imaging technique widely used to study vascular structures and micro-circulation dynamics in the retina and choroid. OCTA has been widely used in clinics for diagnosing…

Image and Video Processing · Electrical Eng. & Systems 2025-08-26 Kejie Chen , Guanbing Gao , Xiaochun Yang , Wenbo Wang , Jing Na

Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning has provided a unique opportunity to achieve milestones in automated image…

Machine Learning · Statistics 2016-12-16 Cecilia S. Lee , Doug M. Baughman , Aaron Y. Lee

Retinal optical coherence tomography (OCT) images provide crucial insights into the health of the posterior ocular segment. Therefore, the advancement of automated image analysis methods is imperative to equip clinicians and researchers…

Image and Video Processing · Electrical Eng. & Systems 2024-02-16 Jiahao Wang , Hong Peng , Shengchao Chen , Sufen Ren

Optical Coherence Tomography Angiography (OCTA) is a non-invasive and non-contacting imaging technique providing visualization of microvasculature of retina and optic nerve head in human eyes in vivo. The adequate image quality of OCTA is…

Image and Video Processing · Electrical Eng. & Systems 2021-07-23 Yufei Wang , Yiqing Shen , Meng Yuan , Jing Xu , Bin Yang , Chi Liu , Wenjia Cai , Weijing Cheng , Wei Wang

Purpose. Localizing structures and estimating the motion of a specific target region are common problems for navigation during surgical interventions. Optical coherence tomography (OCT) is an imaging modality with a high spatial and…

Image and Video Processing · Electrical Eng. & Systems 2020-04-22 Marcel Bengs , Nils Gessert , Matthias Schlüter , Alexander Schlaefer

Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal diseases, such as age-related macular degeneration (AMD). The segmentation of biomarkers such as layers and lesions is essential for patient diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Botond Fazekas , Guilherme Aresta , Philipp Seeböck , Julia Mai , Ursula Schmidt-Erfurth , Hrvoje Bogunović

Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and intrinsic tissue optical properties, including refractive index, scattering coefficient, and anisotropy. This inverse problem is…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Jinglun Yu , Yaning Wang , Wenhan Guo , Yuan Gao , Yu Sun , Jin U. Kang

Optical Coherence Tomography (OCT) has become an indispensable tool for investigating mesoscopic features in soft matter and fluid mechanics. Its ability to provide high-resolution, non-invasive measurements in both spatial and temporal…

Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imaging reference to detect eye-related pathology and predict…

Image and Video Processing · Electrical Eng. & Systems 2022-09-01 Shuo Chen , Da Ma , Sieun Lee , Timothy T. L. Yu , Gavin Xu , Donghuan Lu , Karteek Popuri , Myeong Jin Ju , Marinko V. Sarunic , Mirza Faisal Beg

This short textbook was written for someone who newly start studying, doing research, or development about optical coherence tomography (OCT) or using OCT. The first chapter summarizes the concept and the history of OCT. In the second…

Medical Physics · Physics 2022-12-09 Yoshiaki Yasuno

The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is determined by the presence or change of disease-specific OCT-based biomarkers.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-12 Timo Kepp , Helge Sudkamp , Claus von der Burchard , Hendrik Schenke , Peter Koch , Gereon Hüttmann , Johann Roider , Mattias P. Heinrich , Heinz Handels

This work explores the effectiveness of masked image modelling for learning representations of retinal OCT images. To this end, we leverage Masked Autoencoders (MAE), a simple and scalable method for self-supervised learning, to obtain a…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Theodoros Pissas , Pablo Márquez-Neila , Sebastian Wolf , Martin Zinkernagel , Raphael Sznitman

Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that can acquire high-resolution volumes of the retinal vasculature and aid the diagnosis of ocular, neurological and cardiac diseases. Segmenting the…

With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D…

Computer Vision and Pattern Recognition · Computer Science 2012-05-03 Yankui Sun , Tian Zhang

Eye diseases are common in older Americans and can lead to decreased vision and blindness. Recent advancements in imaging technologies allow clinicians to capture high-quality images of the retinal blood vessels via Optical Coherence…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Jacob Thrasher , Annahita Amireskandari , Prashnna Gyawali

Optical coherence tomography (OCT) is a prevalent non-invasive imaging method which provides high resolution volumetric visualization of retina. However, its inherent defect, the speckle noise, can seriously deteriorate the tissue…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Dewei Hu , Yuankai K. Tao , Ipek Oguz

Optical coherence tomography (OCT) is a non-invasive imaging technology which can provide micrometer-resolution cross-sectional images of the inner structures of the eye. It is widely used for the diagnosis of ophthalmic diseases with…

Image and Video Processing · Electrical Eng. & Systems 2019-12-10 Donghuan Lu , Morgan Heisler , Da Ma , Setareh Dabiri , Sieun Lee , Gavin Weiguang Ding , Marinko V. Sarunic , Mirza Faisal Beg

Routine clinical imaging of the retina using optical coherence tomography (OCT) is performed with large slice spacing, resulting in highly anisotropic images and a sparsely scanned retina. Most learning-based methods circumvent the problems…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Bennet Kahrs , Julia Andresen , Fenja Falta , Monty Santarossa , Heinz Handels , Timo Kepp

Optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications can be further facilitated by deep learning-based…

Medical Physics · Physics 2023-07-24 Xueshen Li , Zhenxing Dong , Hongshan Liu , Jennifer J. Kang-Mieler , Yuye Ling , Yu Gan

Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology. OCT instruments image by raster-scanning a focused light spot across the retina, acquiring…

Image and Video Processing · Electrical Eng. & Systems 2022-09-16 Stefan Ploner , Siyu Chen , Jungeun Won , Lennart Husvogt , Katharina Breininger , Julia Schottenhamml , James Fujimoto , Andreas Maier