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\textit{Purpose} Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during robot assisted minimally invasive interventions. Different approaches based on external and…

Computer Vision and Pattern Recognition · Computer Science 2018-04-27 Nils Gessert , Jens Beringhoff , Christoph Otte , Alexander Schlaefer

Background: Spectral shaping is a computed tomography (CT) dose optimization technique that adjusts source voltage and filtration to reduce patient radiation exposure without compromising image quality. Traditionally, radiation dose has…

Imaging techniques such as functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) achieve deep, non-invasive sensing in turbid media, but they are constrained by the photon budget. Wavefront shaping (WFS) can…

Optics · Physics 2026-04-21 Pablo Jara , Arthur Goetschy , Hui Cao , Alexey Yamilov

Dynamic optical coherence tomography (DOCT) statistically analyzes fluctuations in time-sequential OCT signals, enabling label-free and three-dimensional visualization of intratissue and intracellular activities. Current DOCT methods, such…

Detection and imaging of an electrically conductive object at a distance can be achieved by inducing eddy currents in it and measuring the associated magnetic field. We have detected low-conductivity objects with an optical magnetometer…

Eye movements are commonly seen as an obstacle to high-resolution ophthalmic imaging. In this context we study the natural axial movements of the in vivo human eye and show that they can be used to modulate the optical phase and retrieve…

Unsupervised video object segmentation (VOS), also known as video salient object detection, aims to detect the most prominent object in a video at the pixel level. Recently, two-stream approaches that leverage both RGB images and optical…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Suhwan Cho , Minhyeok Lee , Jungho Lee , Donghyeong Kim , Seunghoon Lee , Sungmin Woo , Sangyoun Lee

At the present time Optical Coherence Tomography (OCT) is among the most commonly used non-invasive imaging methods for the acquisition of large volumetric scans of human retinal tissues and vasculature. To resolve decisive information from…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 D. Sitenko , B. Boll , C. Schnörr

In minimally invasive endovascular procedures, contrast-enhanced angiography remains the most robust imaging technique. However, it is at the expense of the patient and clinician's health due to prolonged radiation exposure. As an…

Image and Video Processing · Electrical Eng. & Systems 2024-09-11 Alex Ranne , Liming Kuang , Yordanka Velikova , Nassir Navab , Ferdinando Rodriguez y Baena

Control of components in integrated photonic circuits is crucial in achieving programmable devices. Operation bandwidth of a plasmonic device cannot be generally tuned once it is manufactured, especially in the visible regime. Here, we…

Optics · Physics 2024-03-22 Hira Asif , Alpan Bek , Mehmet Emre Tasgin , Ramazan Sahin

In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex Convolutional Network, AMSP-UOD, designed for underwater object detection. AMSP-UOD specifically addresses the impact of non-ideal imaging factors on…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Jingchun Zhou , Zongxin He , Kin-Man Lam , Yudong Wang , Weishi Zhang , ChunLe Guo , Chongyi Li

We describe theoretical and experimental demonstration for optical detection of ultrasound using a spectral hole engraved in cryogenically cooled rare-earth ion doped solids. Our method utilizes the dispersion effects due to the spectral…

Optics · Physics 2014-03-10 Jian Wei Tay , Patrick Ledingham , Jevon Longdell

Facial micro-expressions, characterized by their subtle and brief nature, are valuable indicators of genuine emotions. Despite their significance in psychology, security, and behavioral analysis, micro-expression recognition remains…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Luu Tu Nguyen , Vu Tram Anh Khuong , Thi Bich Phuong Man , Thi Duyen Ngo , Thanh Ha Le

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

Crack detection on road surfaces is a critical measurement technology in the instrumentation domain, essential for ensuring infrastructure safety and transportation reliability. However, due to limited energy and low-resolution imaging,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Shuo Zhang

Over 300 million people worldwide are affected by various retinal diseases. By noninvasive Optical Coherence Tomography (OCT) scans, a number of abnormal structural changes in the retina, namely retinal lesions, can be identified. Automated…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Yue Wu , Yang Zhou , Jianchun Zhao , Jingyuan Yang , Weihong Yu , Youxin Chen , Xirong Li

Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform illumination. These effects impair standard cameras and make…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Nick Truong , Pritam P. Karmokar , William J. Beksi

In ultra-high resolution (UHR-) optical coherence tomography (OCT) group velocity dispersion (GVD) must be corrected for in order to approach the theoretical resolution limit. One approach promises not only compensation, but complete…

Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures. This paper proposes a fully automated…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Amal Lahchim , Lambros Athanasiou

Multiple object tracking (MOT) has been successfully investigated in computer vision. However, MOT for the videos captured by unmanned aerial vehicles (UAV) is still challenging due to small object size, blurred object appearance, and very…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Mufeng Yao , Jiaqi Wang , Jinlong Peng , Mingmin Chi , Chao Liu
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