A5017006103- Thermography and Photoacoustic Techniques
- Infrared Target Detection Methodologies
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Radiomics and Machine Learning in Medical Imaging
- Advanced biosensing and bioanalysis techniques
- Radiation Detection and Scintillator Technologies
- Industrial Vision Systems and Defect Detection
- MRI in cancer diagnosis
- Advanced Image and Video Retrieval Techniques
- Gamma-ray bursts and supernovae
- DNA and Biological Computing
- Methane Hydrates and Related Phenomena
- Robotics and Sensor-Based Localization
- Particle Detector Development and Performance
- Astronomy and Astrophysical Research
- Medical Imaging Techniques and Applications
- Viral Infectious Diseases and Gene Expression in Insects
- Assembly Line Balancing Optimization
- Drilling and Well Engineering
- Water Systems and Optimization
- 3D Surveying and Cultural Heritage
- Sugarcane Cultivation and Processing
- Evolutionary Algorithms and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
Yale Cancer Center
2024-2025
Yale University
2024-2025
Zhejiang University
2018-2023
Shandong Agricultural University
2021
Chongqing University
2021
China National Heavy Duty Truck Group (China)
2021
Tokyo Institute of Technology
2014
Shaanxi Normal University
2010-2012
Fixed-pattern noise (FPN), which is caused by the nonuniform opto-electronic responses of microbolometer focal-plane-array (FPA) optoelectronics, imposes a challenging problem in infrared imaging systems. In this paper, we successfully demonstrate that better single-image-based non-uniformity correction (NUC) operator can be directly learned from large number simulated training images instead being handcrafted as before. Our proposed scheme, based on convolutional neural networks (CNNs) and...
Nondestructive thermography is a high-speed, low-cost, and safe solution for subsurface defects detection of carbon fiber reinforced polymer (CFRP) materials, providing essential quality control in aerospace, automobile, sports industries. In this article, we build reflective lock-in system construct dataset that contains real-captured thermal image sequences CFRP samples with various simulated internal under different excitation frequencies. Then, present novel 3-D convolutional neural...
Abstract Background Accurate delineation of the clinical target volume (CTV) is essential in radiotherapy treatment soft tissue sarcomas. However, this process subject to inter‐reader variability due need for assessment risk and extent potential microscopic spread. This can lead inconsistencies planning, potentially impacting outcomes. Most existing automatic CTV methods do not account only generate a single each case. Purpose study aims develop deep learning‐based technique multiple...
Multispectral filter array (MSFA) sensors provide a cost-effective and one-shot acquisition solution to obtain well-aligned multi-band images, which are helpful for various optical remote sensing applications. However, the sparse spatial sampling rate strong spectral cross-correlation make MSFA image demosaicing challenging problem. Therefore, it is essential develop effective solutions reconstruct full-resolution high-fidelity multispectral images from raw mosaic image. In this paper, we...
A DNA computing model for solving graph vertex coloring problem is proposed in this article. To illustrate the capability of model, a 3-colorable with 61 vertices was constructed as an example. Using more than 99% false solutions were deleted when initial solution space established and finally all found. Because these operations can be used any vertices, searching could up to O(3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">59</sup> ). This...
Abstract Objective. Head and neck (H&N) cancers are among the most prevalent types of cancer worldwide, [ 18 F]F-FDG PET/CT is widely used for H&N management. Recently, diffusion model has demonstrated remarkable performance in various image-generation tasks. In this work, we proposed a 3D to accurately perform tumor segmentation from PET CT volumes. Approach. The was developed considering nature images acquired. During reverse process, utilized UNet structure took concatenation PET,...
On the basis of considering flood control safety reservoir and protection area, a multi-objective optimal operation model is established, combined algorithm called SA-FOA with Simulated Annealing Algorithm(SA) Fruit Fly Optimization Algorithm(FOA) used to solve model. The overcomes shortcomings fast convergence speed easy fall into local solution FOA. Taking hydrograph 19630717 19640912 Tianzhuang Reservoir as an example, discharges calculated by are compared measured values. results show...
In this paper, we propose 3D reconstruction by structure from motion (SfM) using spherical panoramic imagery and its application. The first part starts describing a brief overview of the proposed SfM discussing advantages disadvantages images for SfM. Since major problem is induced image distortion, overcomes it feature detection description with rectification evaluating angular errors in geometric estimation. second part, as an application SfM, system estimating positions directions input...