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Traffic safety analysis at signalized intersections is vital for reducing vehicle and pedestrian collisions, yet traditional crash-based studies are limited by data sparsity and latency. This paper presents a novel multi-camera computer…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Shounak Ray Chaudhuri , Arash Jahangiri , Christopher Paolini

The RefleXion X1 is the first biology-guided radiotherapy (BgRT) system. Its dual 90-degree PET detector collects fewer pair production events compared to a full-ring diagnostic PET system. In the proposed BgRT workflow, a short scan is…

Understanding plant root systems is critical for advancing research in soil-plant interactions, nutrient uptake, and overall plant health. However, accurate imaging of roots in subterranean environments remains a persistent challenge due to…

Computer Vision and Pattern Recognition · Computer Science 2026-01-12 Shubham Agarwal , Ofek Nourian , Michael Sidorov , Sharon Chemweno , Ofer Hadar , Naftali Lazarovitch , Jhonathan E. Ephrath

The purpose of the presented research is estimation of the performance characteristics of the economic Total-Body Jagiellonian-PET system (TB-J-PET) constructed from plastic scintillators. The characteristics are estimated according to the…

A novel emittance meter has been developed to measure the four-dimensional, transverse phase-space distribution of a low-energy ion beam using the pepper-pot technique. A characteristic feature of this instrument is that the pepper-pot…

Instrumentation and Detectors · Physics 2013-03-15 H. R. Kremers , J. P. M. Beijers , S. Brandenburg

This paper presents a comparative evaluation of convolutional and transformer-based object detection architectures for early weed detection in tomato plantations. Representative models from each paradigm are considered, including…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Alcides Toledo Espinosa , Gerardo Antonio Álvarez Hernández , Ángel Eduardo Zamora-Suárez , Miguel Bolaños , Juan Irving Vásquez

Research conducted in the framework of the J-PET project aims to develop a cost-effective total-body positron emission tomography scanner. As a first step on the way to construct a full-scale J-PET tomograph from long strips of plastic…

Reconstruction of PET images is an ill-posed inverse problem and often requires iterative algorithms to achieve good image quality for reliable clinical use in practice, at huge computational costs. In this paper, we consider the PET…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Jieqing Jiao , Sebastien Ourselin

Plant phenology studies rely on long-term monitoring of life cycles of plants. High-resolution unmanned aerial vehicles (UAVs) and near-surface technologies have been used for plant monitoring, demanding the creation of methods capable of…

Computer Vision and Pattern Recognition · Computer Science 2019-10-23 Keiller Nogueira , Jefersson A. dos Santos , Nathalia Menini , Thiago S. F. Silva , Leonor Patricia C. Morellato , Ricardo da S. Torres

Positron Emission Tomography (PET) is a powerful molecular imaging tool that plays a crucial role in modern medical diagnostics by visualizing radio-tracer distribution to reveal physiological processes. Accurate organ segmentation from PET…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Yichi Zhang , Le Xue , Wenbo Zhang , Lanlan Li , Yuchen Liu , Chen Jiang , Yuan Cheng , Yuan Qi

Positron emission tomography (PET) is widely used in various clinical applications, including cancer diagnosis, heart disease and neuro disorders. The use of radioactive tracer in PET imaging raises concerns due to the risk of radiation…

Computer Vision and Pattern Recognition · Computer Science 2017-12-13 Junshen Xu , Enhao Gong , John Pauly , Greg Zaharchuk

Traditional microbial detection methods often rely on the overall property of microbial cultures and cannot resolve individual growth event at high spatiotemporal resolution. As a result, they require bacteria to grow to confluence and then…

Artificial intelligence (AI) is entering medical imaging, mainly enhancing image reconstruction. Nevertheless, improvements throughout the entire processing, from signal detection to computation, potentially offer significant benefits. This…

Machine Learning · Computer Science 2023-10-27 Stephan Naunheim , Yannick Kuhl , David Schug , Volkmar Schulz , Florian Mueller

The Institute for Astronomy and Astrophysics in T\"ubingen (IAAT) has a long-term experience in developing and building space-qualified imaging and photon counting microchannel-plate (MCP) detectors, which are sensitive in the ultraviolet…

We report on an hybrid in-beam PET and prompt-gamma Compton imaging system aimed at quasi real-time ion-range verification in proton-therapy treatments. Proof-of-concept experiments were carried out at the radiobiology beam line of the CNA…

Positional single photon incidence response (P-SPIR) theory is researched in this paper to generate more accurate PSF-contained system matrix simply and quickly. The method has been proved highly effective to improve the spatial resolution…

We developed a new and computationally simple local block-wise self attention based normal structures segmentation approach applied to head and neck computed tomography (CT) images. Our method uses the insight that normal organs exhibit…

Computer Vision and Pattern Recognition · Computer Science 2019-09-12 Jue Jiang , Elguindi Sharif , Hyemin Um , Sean Berry , Harini Veeraraghavan

A proximity focusing ring imaging Cherenkov detector using aerogel as the radiator has been studied for an upgrade of the Belle detector at the KEK-B-factory. We constructed a prototype Cherenkov counter using a 4 x 4 array of 64-channel…

$Objective$. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary particle detectors. In this work, we investigate the…

Instrumentation and Detectors · Physics 2022-09-28 Atiq. Ur. Rahman , Mythra Varun. Nemallapudi , Cheng-Ying. Chou , Shih-Chang Lee , Chih-Hsun. Lin

We present a nuclear medical imaging technique, employing triple-gamma trajectory intersections from beta^+ - gamma coincidences, able to reach sub-millimeter spatial resolution in 3 dimensions with a reduced requirement of reconstructed…

Medical Physics · Physics 2014-02-18 C. Lang , D. Habs , K. Parodi , P. G. Thirolf
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