Abstract: The Prompt Gamma Timing (PGT) method provides the assessment of particle range by measuring the time of flight between the primary particle and PG detection. This non-invasive and real-time ...
Abstract: Low signal-to-background ratio and subsequent image degradation limits the performance of Compton cameras and hinder their application for range verification in hadron therapy. While several ...
Abstract: Particle therapy verification using induced prompt gamma radiation is a field of active research. We employ an iterative reconstruction algorithm to reconstruct the spatiotemporal emission ...
Abstract: Hyperspectral change detection (HCD) with limited training samples has attracted increasing attention in recent years. The current research works require to train a dedicated model for each ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9552934 ...
Abstract: Medical imaging equipment (MIE) is regarded as a crucial facility in the 21st century. Its noninvasive and safe nature in providing diagnostic images or guiding treatments has garnered ...
Abstract: Existing Transformer-based dehazing methods for remote sensing (RS) images, to avoid quadratic computation complexity with respect to the feature map size, either perform self-attention ...
Abstract: Hyperspectral image super-resolution (HSI SR) aims to combine the detailed spectral information of hyperspectral images with the spatial resolution of multispectral images, thus enhancing ...
Abstract: Risks and resulting propagating accidents pose considerable threats to the stability of project portfolio network (PPN). To maintain PPN stability, a PPN risk propagation model considering ...
Abstract: Automatic modulation classification (AMC) is one of the most crucial technologies for identifying the modulation formats of unknown wireless signals in cognitive radio. However, few works ...
Abstract: Division of focal plane color polarization camera becomes the mainstream in polarimetric imaging for it directly captures color polarization mosaic image by one snapshot, so image ...
Abstract: PointNet, the first deep learning framework for processing 3D point clouds, suffers from significant information loss during point cloud classification due to its Max pooling method, leading ...