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Diabetic retinopathy (DR) is a leading cause of vision loss, requiring early and accurate assessment to prevent irreversible damage. Spectral Domain Optical Coherence Tomography (SD-OCT) enables high-resolution retinal imaging, but…

Image and Video Processing · Electrical Eng. & Systems 2025-07-15 S. Chen , D. Ma , M. Raviselvan , S. Sundaramoorthy , K. Popuri , M. J. Ju , M. V. Sarunic , D. Ratra , M. F. Beg

Measurements of masses and ages of young stars from their location in the HR diagram are limited by not only the typical observational uncertainties that apply to field stars, but also by large systematic uncertainties related to…

Solar and Stellar Astrophysics · Physics 2015-06-19 Gregory J. Herczeg , Lynne A. Hillenbrand

Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer boundaries is a fundamental procedure for diagnosing and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-09 Jinming Duan , Christopher Tench , Irene Gottlob , Frank Proudlock , Li Bai

Dispersion is a common phenomenon in optics due to the frequency dependence of the refractive index in polychromatic light. This issue, if left untreated in optical coherence tomography (OCT) imaging, leads to signal broadening of the…

Image and Video Processing · Electrical Eng. & Systems 2022-01-03 Shangbang Luo , Guy Holland , Eric Mikula , Samantha Bradford , Reza Khazaeinezhad , James V Jester , Tibor Juhasz

Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequential cross-sectional image slices are acquired to generate…

Image and Video Processing · Electrical Eng. & Systems 2024-02-20 Stefan Ploner , Jungeun Won , Julia Schottenhamml , Jessica Girgis , Kenneth Lam , Nadia Waheed , James Fujimoto , Andreas Maier

Conventional optical character recognition (OCR) techniques segmented each character and then recognized. This made them prone to error in character segmentation, and devoid of context to exploit language models. Advances in sequence to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Shashank Vempati , Nishit Anand , Gaurav Talebailkar , Arpan Garai , Chetan Arora

Recent contrastive learning methods achieved state-of-the-art in low label regimes. However, the training requires large batch sizes and heavy augmentations to create multiple views of an image. With non-contrastive methods, the negatives…

Computer Vision and Pattern Recognition · Computer Science 2022-09-27 Taha Emre , Arunava Chakravarty , Antoine Rivail , Sophie Riedl , Ursula Schmidt-Erfurth , Hrvoje Bogunović

Diabetic eye disease is one of the fastest growing causes of preventable blindness. With the advent of anti-VEGF (vascular endothelial growth factor) therapies, it has become increasingly important to detect center-involved diabetic macular…

Surface-based cortical analysis is valuable for a variety of neuroimaging tasks, such as spatial normalization, parcellation, and gray matter (GM) thickness estimation. However, most tools for estimating cortical surfaces work exclusively…

Spatial resolution in optical microscopy has traditionally been treated as a fixed parameter of the optical system. Here, we present an approach to enhance transverse resolution in beam-scanned optical coherence tomography (OCT) beyond its…

Optics · Physics 2021-10-22 Nichaluk Leartprapun , Steven G. Adie

Retinal microaneurysms are the earliest clinical sign of diabetic retinopathy disease. Detection of microaneurysms is crucial for the early diagnosis of diabetic retinopathy and prevention of blindness. In this paper, a novel and reliable…

Computer Vision and Pattern Recognition · Computer Science 2018-05-09 Behdad Dashtbozorg , Jiong Zhang , Bart M. ter Haar Romeny

As part of the Young Exoplanets Spectroscopic Survey (YESS), this study explores the spot variability of 13 T Tauri Stars (TTSs) in the near-infrared $H$ band, using spectra from the Immersion GRating INfrared Spectrometer (IGRINS). By…

Solar and Stellar Astrophysics · Physics 2024-06-21 Shih-Yun Tang , Christopher M. Johns-Krull , L. Prato , Asa G. Stahl

Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making RNV clinical screening and monitoring a priority. Optical…

Image and Video Processing · Electrical Eng. & Systems 2026-04-01 Jinyi Hao , Jie Wang , Liqin Gao , Tristan T. Hormel , Yukun Guo , An-Lun Wu , Christina J. Flaxel , Steven T. Bailey , Kotaro Tsuboi , Thomas S. Hwang , Yali Jia

In Fourier-domain optical coherence tomography (OCT), the finite bandwidth of the acquisition electronics constrains the depth range and speed of the system. Circular-ranging (CR) OCT methods use optical-domain compression to surpass this…

Applied Physics · Physics 2019-11-01 Norman Lippok , Brett E. Bouma , Benjamin J. Vakoc

Age-related Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are the major causes of vision loss in developed countries. Alteration of retinal layer structure and appearance of exudate are the most significant signs of these…

Image and Video Processing · Electrical Eng. & Systems 2019-03-19 Elahe Mousavi , Rahele Kafieh , Hossein Rabbani

Optical transition radiation interferometry (OTRI) has been shown to be a very useful technique to measure the divergence of electron beams with energies in the range of 15-100 MeV. However, application of this method to low energy or very…

Accelerator Physics · Physics 2007-05-23 A. G. Shkvarunets , R. B. Fiorito , P. G. O'Shea

Nonuniform rotational distortion (NURD) correction is vital for endoscopic optical coherence tomography (OCT) imaging and its functional extensions, such as angiography and elastography. Current NURD correction methods require…

Image and Video Processing · Electrical Eng. & Systems 2024-01-08 Haoran Zhang , Jianlong Yang , Jingqian Zhang , Shiqing Zhao , Aili Zhang

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

In this paper, the problem of image super-resolution for Optical Coherence Tomography (OCT) has been addressed. Due to the motion artifacts, OCT imaging is usually done with a low sampling rate and the resulting images are often noisy and…

Image and Video Processing · Electrical Eng. & Systems 2023-06-22 Farnaz Sedighin , Andrzej Cichocki , Hossein Rabbani

In conventional OCT, broadband light sources are generally utilized to obtain high axial resolution due to their low temporal coherence (TC) length. Purely monochromatic (i.e., high TC length) light sources like laser cannot be implemented…

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