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Optical Coherence Tomography (OCT) is a novel and effective screening tool for ophthalmic examination. Since collecting OCT images is relatively more expensive than fundus photographs, existing methods use multi-modal learning to complement…

Image and Video Processing · Electrical Eng. & Systems 2023-08-02 Lehan Wang , Weihang Dai , Mei Jin , Chubin Ou , Xiaomeng Li

Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to be moved to scan the respective area. For handheld…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Suresh Guttikonda , Maximilian Neidhardt , Vidas Raudonis , Alexander Schlaefer

Conventional class-guided diffusion models generally succeed in generating images with correct semantic content, but often struggle with texture details. This limitation stems from the usage of class priors, which only provide coarse and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-14 Xiaoyu Yue , Zidong Wang , Zeyu Lu , Shuyang Sun , Meng Wei , Wanli Ouyang , Lei Bai , Luping Zhou

Localization-based imaging has revolutionized fluorescence optical microscopy and has also enabled unprecedented ultrasound images of microvascular structures in deep tissues. Herein, we introduce a new concept of localization optoacoustic…

Optics · Physics 2017-07-10 Xose Luis Dean-Ben , Daniel Razansky

We consider the imaging problem of the reconstruction of a three-dimensional object via optical diffraction tomography under the assumptions of the Born approximation. Our focus lies in the situation that a rigid object performs an…

Numerical Analysis · Mathematics 2024-07-11 Robert Beinert , Michael Quellmalz

Optical coherence tomography (OCT) is a prevalent, interferometric, high-resolution imaging method with broad biomedical applications. Nonetheless, OCT images suffer from an artifact, called speckle which degrades the image quality. Digital…

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 widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate…

Image and Video Processing · Electrical Eng. & Systems 2021-07-30 Yijie Zhang , Tairan Liu , Manmohan Singh , Yilin Luo , Yair Rivenson , Kirill V. Larin , Aydogan Ozcan

Modern imaging techniques at the molecular scale rely on utilizing novel coherent light sources like X-ray free electron lasers for the ultimate goal of visualizing such objects as individual biomolecules rather than crystals. Here, unlike…

Nonlinear SU(1,1) quantum interferometers based on non-degenerate optical parametric down-conversion exhibit strong unbalanced group velocity dispersion (GVD). This feature is intrinsic to this type of interferometer as correlated photons…

Optics · Physics 2026-02-06 Ivan Zorin , Paul Gattinger

Non-destructive testing (NDT) is crucial for ensuring product quality and safety across various industries. Conventional methods such as ultrasonic, terahertz, and X-ray imaging have limitations in terms of probe-contact requirement, depth…

Medical image segmentation is crucial for many healthcare tasks, including disease diagnosis and treatment planning. One key area is the segmentation of skin lesions, which is vital for diagnosing skin cancer and monitoring patients. In…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Salah Eddine Bekhouche , Gaby Maroun , Fadi Dornaika , Abdenour Hadid

Optical coherence tomography (OCT) is being increasingly adopted as a label-free and non-invasive technique for biomedical applications such as cancer and ocular disease diagnosis. Diagnostic information for these tissues is manifest in…

Shearing interferometry is a common-path quantitative phase imaging technique in which an object beam interferes with a laterally shifted replica of itself, providing high temporal stability, reduced sensitivity to environmental noise,…

Optical Coherence Tomography Angiography (OCTA) and its derived en-face projections provide high-resolution visualization of the retinal and choroidal vasculature, which is critical for the rapid and accurate diagnosis of retinal diseases.…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Pooya Khosravi , Kun Han , Anthony T. Wu , Arghavan Rezvani , Zexin Feng , Xiaohui Xie

Endoscopic optical coherence tomography (OCT) is a valuable tool for providing diagnostic images of internal organs and guiding interventions in real time. Miniaturized OCT endoscopes are essential for imaging small and convoluted luminal…

Instrumentation and Detectors · Physics 2023-11-28 Chao Xu , Xin Guan , Syeda Aimen Abbasi , Neng Xia , To Ngai , Li Zhang , Ho-Pui Ho , Sze Hang Calvin Ng , Wu Yuan

Biological tissues are composed of discrete compartments of biochemical media that often exhibit subtle differences in refractive index. Light propagating through these compartments partially diffracts in a forward direction with a pi/2…

Optics · Physics 2025-05-12 Gregory N. McKay , Jerome Mertz , Nicholas J. Durr

Retinal optical coherence tomography (OCT) and OCT angiography (OCTA) suffer from the degeneration of image quality due to speckle noise and bulk-motion noise, respectively. Because the cross-sectional retina has distinct features in OCT…

Image and Video Processing · Electrical Eng. & Systems 2020-02-19 Jianlong Yang , Yan Hu , Liyang Fang , Jun Cheng , Jiang Liu

Fabrication of optical coherence tomography (OCT) fiber probes in cardiology involves sequentially splicing and cleaving multiple fibers to form a lens. During this process, the splice location-normally invisible under standard…

Detecting out-of-distribution (OOD) samples is essential for ensuring the reliability of deep neural networks (DNNs) in real-world scenarios. While previous research has predominantly investigated the disparity between in-distribution (ID)…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Yingwen Wu , Tao Li , Xinwen Cheng , Jie Yang , Xiaolin Huang