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Spectral Domain Optical Coherence Tomography (SD-OCT) is a well-known imaging modality which allows for \textit{in-vivo} visualization of the morphology of different biological tissues at cellular level resolutions. The overall SD-OCT…

Depth estimation and 3D object detection are critical for scene understanding but remain challenging to perform with a single image due to the loss of 3D information during image capture. Recent models using deep neural networks have…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Julie Chang , Gordon Wetzstein

This dissertation relates to the transition of the state of the art of swept source optical coherence tomography (SS-OCT) systems to a new realm in which the image acquisition speed is improved by an order of magnitude. With the aid of a…

Image and Video Processing · Electrical Eng. & Systems 2020-02-21 Amir Tofighi Zavareh

Whole-eye optical coherence tomography (WEOCT) has emerged as a transformative imaging modality capable of simultaneously capturing the anterior and posterior segments of the human eye. WEOCT enables comprehensive ocular biometry, which is…

Optical Coherence Tomography (OCT) is a widely used non-invasive imaging technique that provides detailed three-dimensional views of the retina, which are essential for the early and accurate diagnosis of ocular diseases. Consequently, OCT…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Huy Minh Nhat Nguyen , Triet Hoang Minh Dao , Chau Vinh Hoang Truong , Cuong Tuan Nguyen

Diabetic Retinopathy (DR), an ocular complication of diabetes, is a leading cause of blindness worldwide. Traditionally, DR is monitored using Color Fundus Photography (CFP), a widespread 2-D imaging modality. However, DR classifications…

Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal imagining system for the diagnosis and treatment of CAD.…

Image and Video Processing · Electrical Eng. & Systems 2022-04-26 Xueshen Li , Shengting Cao , Hongshan Liu , Xinwen Yao , Brigitta C. Brott , Silvio H. Litovsky , Xiaoyu Song , Yuye Ling , Yu Gan

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

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

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) microscope (OCM) uses a high-numerical-aperture objective to achieve cellular-level lateral resolution. However, its practical imaging depth range is limited by the depth of focus (DOF). Although…

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

The ultra-wide optical coherence tomography angiography (OCTA) has become an important imaging modality in diabetic retinopathy (DR) diagnosis. However, there are few researches focusing on automatic DR analysis using ultra-wide OCTA. In…

Image and Video Processing · Electrical Eng. & Systems 2022-10-04 Junlin Hou , Fan Xiao , Jilan Xu , Yuejie Zhang , Haidong Zou , Rui Feng

SD-OCT is a non-invasive cross-sectional imaging modality used for diagnosis of macular defects. Efficient detection and segmentation of the abnormalities seen as biomarkers in OCT can help in analyzing the progression of the disease and…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Shivin Yadav , Karthik Gopinath , Jayanthi Sivaswamy

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

Computer Vision and Pattern Recognition · Computer Science 2015-08-06 Yankui Sun , Tian Zhang , Yue Zhao , Yufan He

Ophthalmic image segmentation serves as a critical foundation for ocular disease diagnosis. Although fully convolutional neural networks (CNNs) are commonly employed for segmentation, they are constrained by inductive biases and face…

Computer Vision and Pattern Recognition · Computer Science 2024-08-19 Zunjie Xiao , Xiaoqing Zhang , Risa Higashita , Jiang Liu

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

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) 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

Self-supervised monocular depth estimation presents a powerful method to obtain 3D scene information from single camera images, which is trainable on arbitrary image sequences without requiring depth labels, e.g., from a LiDAR sensor. In…

Computer Vision and Pattern Recognition · Computer Science 2020-07-22 Marvin Klingner , Jan-Aike Termöhlen , Jonas Mikolajczyk , Tim Fingscheidt
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