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Photoacoustic computed tomography (PACT) is a non-invasive imaging modality, similar to ultrasound, with wide-ranging medical applications. Conventional PACT images are degraded by wavefront distortion caused by the heterogeneous speed of…

Image and Video Processing · Electrical Eng. & Systems 2025-08-05 Tianao Li , Manxiu Cui , Cheng Ma , Emma Alexander

Achieving rapid and effective active collision avoidance in dynamic interactive traffic remains a core challenge for autonomous driving. This paper proposes REACT (Runtime-Enabled Active Collision-avoidance Technique), a closed-loop…

Robotics · Computer Science 2025-05-19 Heye Huang , Hao Cheng , Zhiyuan Zhou , Zijin Wang , Qichao Liu , Xiaopeng Li

Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise, RT-Cine images may exhibit significant motion artifacts.…

Signal Processing · Electrical Eng. & Systems 2024-05-28 Chong Chen , Yingmin Liu , Yu Ding , Matthew Tong , Preethi Chandrasekaran , Christopher Crabtree , Syed M. Arshad , Yuchi Han , Rizwan Ahmad

Background The development of a simulation model of full body reaching tasks that can predict endeffector trajectories and joint excursions consistent with experimental data is a non-trivial task. Because of the kinematic redundancy…

Systems and Control · Computer Science 2011-08-10 Daohang Sha , James S Thomas

Cardiac motion estimation is an important diagnostic tool to detect heart diseases and it has been explored with modalities such as MRI and conventional ultrasound (US) sequences. US cardiac motion estimation still presents challenges…

Computer Vision and Pattern Recognition · Computer Science 2017-04-26 Angelica I. Aviles , Thomas Widlak , Alicia Casals , Maartje M. Nillesen , Habib Ammari

Thanks to its capability of acquiring full-view frames at multiple kilohertz, ultrafast ultrasound imaging unlocked the analysis of rapidly changing physical phenomena in the human body, with pioneering applications such as ultrasensitive…

Image and Video Processing · Electrical Eng. & Systems 2020-12-22 Dimitris Perdios , Manuel Vonlanthen , Florian Martinez , Marcel Arditi , Jean-Philippe Thiran

Rotation averaging (RA) is a fundamental problem in robotics and computer vision. In RA, the goal is to estimate a set of $N$ unknown orientations $R_{1}, ..., R_{N} \in SO(3)$, given noisy measurements $R_{ij} \sim R^{-1}_{i} R_{j}$ of a…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Owen Howell , Haoen Huang , David Rosen

Recent advances in video reward models and post-training strategies have improved text-to-video (T2V) generation. While these models typically assess visual quality, motion quality, and text alignment, they often overlook key structural…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Yuan Wang , Borui Liao , Huijuan Huang , Jinda Lu , Ouxiang Li , Kuien Liu , Meng Wang , Xiang Wang

Time-resolved high-resolution X-ray Computed Tomography (4D $\mu$CT) is an imaging technique that offers insight into the evolution of dynamic processes inside materials that are opaque to visible light. Conventional tomographic…

Image and Video Processing · Electrical Eng. & Systems 2026-01-12 Wannes Goethals , Tom Bultreys , Steffen Berg , Matthieu N. Boone , Jan Aelterman

Purpose: The long scan times of quantitative MRI techniques make motion artifacts more likely. For MR-Fingerprinting-like approaches, this problem can be addressed with self-navigated retrospective motion correction based on reconstructions…

Medical Physics · Physics 2025-06-18 Elisa Marchetto , Sebastian Flassbeck , Andrew Mao , Jakob Assländer

Photomechanics is a crucial branch of solid mechanics. The localization of point targets constitutes a fundamental problem in optical experimental mechanics, with extensive applications in various missions of UAVs. Localizing moving targets…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Huayu Huang , Banglei Guan , Yang Shang , Qifeng Yu

We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background…

Computer Vision and Pattern Recognition · Computer Science 2013-09-19 Gilles Puy , Pierre Vandergheynst

The state-of-the-art methods for solving optimization problems in big dimensions are variants of randomized coordinate descent (RCD). In this paper we introduce a fundamentally new type of acceleration strategy for RCD based on the…

Optimization and Control · Mathematics 2018-02-13 Dmitry Kovalev , Eduard Gorbunov , Elnur Gasanov , Peter Richtárik

Surface electromyography (sEMG) enables continuous hand pose estimation on wearable devices, but models trained on multi-user corpora degrade on unseen individuals due to inter-user variability in anatomy and electrode placement. We propose…

Human-Computer Interaction · Computer Science 2026-05-29 Eric Xie , Hei Shing Cheung

Non-contact estimation of respiratory pattern (RP) and respiration rate (RR) has multiple applications. Existing methods for RP and RR measurement fall into one of the three categories - (i) estimation through nasal air flow measurement,…

Computer Vision and Pattern Recognition · Computer Science 2017-04-26 A. P. Prathosh , Pragathi Praveena , Lalit K. Mestha , Sanjay Bharadwaj

Direct automatic segmentation of objects from 3D medical imaging, such as magnetic resonance (MR) imaging, is challenging as it often involves accurately identifying a number of individual objects with complex geometries within a large…

Image and Video Processing · Electrical Eng. & Systems 2021-09-23 Wei Dai , Boyeong Woo , Siyu Liu , Matthew Marques , Craig B. Engstrom , Peter B. Greer , Stuart Crozier , Jason A. Dowling , Shekhar S. Chandra

Magnetic Resonance Imaging (MRI) offers unparalleled soft-tissue contrast but is fundamentally limited by long acquisition times. While deep learning-based accelerated MRI can dramatically shorten scan times, the reconstruction from…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Paul Fischer , Jan Nikolas Morshuis , Thomas Küstner , Christian Baumgartner

In real-time (RT) cardiac cine imaging, a stack of 2D slices is collected sequentially under free-breathing conditions. A complete heartbeat from each slice is then used for cardiac function quantification. The inter-slice respiratory…

Image and Video Processing · Electrical Eng. & Systems 2020-07-10 Chong Chen , Yingmin Liu , Orlando P. Simonetti , Rizwan Ahmad

Cardiac magnetic resonance imaging is a valuable non-invasive tool for identifying cardiovascular diseases. For instance, Cine MRI is the benchmark modality for assessing the cardiac function and anatomy. On the other hand, multi-contrast…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 George Yiasemis , Nikita Moriakov , Jan-Jakob Sonke , Jonas Teuwen

Cone-beam CT (CBCT) provides on-board volumetric anatomy for image guidance and treatment adaptation in radiotherapy. To compensate for respiration-induced anatomical motion, time-resolved CBCT is highly desired to capture the…

Medical Physics · Physics 2025-11-05 Ruizhi Zuo , Hua-Chieh Shao , You Zhang