IEEE3d
PEDNet: A Proposal Enhancement Dynamic Network for Fine-Grained Ship Detection in Optical Remote Sensing Images
Abstract: Fine-grained ship detection (FGSD) refers to identify and localize different ships in optical remote sensing images, which is utilized in both civilian and military areas widely.
IEEE5d
Towards Enhancing Auxiliary Lymph Node Detection Using a Breast Insert with a Whole-Body PET/MRI Scanner
Abstract: In general, breast PET inserts are designed to improve the detection capability for small lesions and early metastases. Expanding on prior research, the insert our group is developing aims ...
IEEE7d
An Analytical System Response Model for Spatiotemporal Emission Reconstruction from Multi-Detector Prompt Gamma Timing
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 ...
IEEE7d
Background reduction of Compton-camera based 3D imaging for range verification in proton therapy
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 ...
IEEE7d
First Prompt Gamma Timing measurements with carbon ions
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 ...
IEEE9d
A Simulation Framework to Establish Ground Truth for Motion Correction in Total-Body PET: Initial Evaluation for Complex Respiratory Motion
Abstract: The enhanced sensitivity of total-body PET/CT scanners substantially decreases noise, however the full potential for spatio-temporal resolution is still hampered by artefacts and ...
IEEE9d
Feasibility of Zirconium-89 Imaging with MERMAID, a small-fish PET scanner prototype
Abstract: In positron emission tomography (PET), radiolabelling of antibodies with Zirconium-89 ($\mathrm{t}_{1 / 2}=78.4$ hours) has opened the door to studying a variety of diseases, aka. immuno- ...
IEEE9d
Impact of Re-framing High-Dose Scans for the Training of Neural Networks for Denoising Low-Dose PET
Abstract: In PET, patient radiation exposure is mainly determined by the administered amount of radiotracer and its metabolism. By lowering the activity, the radiation dose is minimized at the cost of ...
IEEE9d
Performance Optimization of a Fish-Like Propeller Based on Continuum Driving
Abstract: The excellent swimming ability of fish provides a new solution for the design of underwater propellers. However, there is a lack of optimization schemes for the structure and performance of ...
IEEE16d
A Novel LOD Rendering Method With Multilevel Structure-Keeping Mesh Simplification and Fast Texture Alignment for Realistic 3-D Models
Abstract: Fast, high-precision texture maps and high-frame-rate level of detail (LOD) generation for realistic 3-D models are foundational data infrastructures for smart cities. However, LOD ...
IEEE20d
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
Abstract: Multi-band radiomap reconstruction (MB-RMR) is a key component in wireless communications for tasks such as spectrum management and network planning. However, traditional ...
IEEE20d
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
Abstract: Seismic data often suffer from missing traces, and traditional reconstruction methods are cumbersome in parameterization and struggle to handle large-scale missing data. While deep learning ...