- Nanoplatforms for cancer theranostics
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Advanced biosensing and bioanalysis techniques
- Human-Automation Interaction and Safety
- Advanced Optical Sensing Technologies
- Media Influence and Health
- Immune cells in cancer
- Extracellular vesicles in disease
- Advanced Memory and Neural Computing
- Air Traffic Management and Optimization
- Nanoparticle-Based Drug Delivery
- Ocular and Laser Science Research
- Infrastructure Maintenance and Monitoring
- Carbon and Quantum Dots Applications
- Photodynamic Therapy Research Studies
- Robotics and Sensor-Based Localization
- Electricity Theft Detection Techniques
- Thermography and Photoacoustic Techniques
- Advanced MRI Techniques and Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Satellite Image Processing and Photogrammetry
- Cryospheric studies and observations
Beijing Wuzi University
2024
Guangzhou Medical University
2024
Second Affiliated Hospital of Guangzhou Medical University
2024
Guangdong Medical College
2024
First Affiliated Hospital of Jinan University
2018-2023
Hohai University
2023
Zhengzhou University of Light Industry
2020-2022
Jinan University
2017-2019
Beijing Jiaotong University
2019
Guilin University of Technology
2018
Photoacoustic endoscopy shows promise in the detection of gastrointestinal cancer, inflammation, and other lesions. High-resolution endoscopic imaging hemodynamic response necessitates a small-sized, high-sensitivity ultrasound sensor. Here, we utilize laser sensor to develop miniaturized, optical-resolution photoacoustic endoscope. The can boost acoustic by gain factor ωo/Ω (the frequency ratio signal light measured ultrasound) measuring acoustically induced optical phase change. As result,...
Rational design of multifunctional and smart drug-delivered nanoplatforms is a promising strategy to achieve simultaneous diagnosis, real-time monitoring, therapy cancers. Herein, highly uniform stable selenium nanoparticles with epidermal growth factor receptor (EGFR) targeting tumor microenvironment-responsive ability (Se-5Fu-Gd-P(Cet/YI-12)) were designed synthesized by using EGFR as the molecule, gadolinium chelate magnetic resonance imaging contrast agent, 5-fluorouracil (5Fu) cetuximab...
The superpixel-based multiple kernels model uses the average value of all pixels within superpixel as spatial feature, which results in inaccurate extraction edge pixels. To solve this problem, a local binary patterns and method is proposed for hyperspectral image (HSI) classification. First, original HSI segmented into superpixels by using entropy rate segmentation algorithm. On with index, spectral kernel second obtained combining feature map radial basis (RBF). By introducing pattern...
Cardiovascular magnetic resonance (CMR) stress perfusion imaging provides important diagnostic and prognostic information in coronary artery disease (CAD). Current clinical sequences have limited temporal and/or spatial resolution, incomplete heart coverage. Techniques such as k-t principal component analysis (PCA) or sparcity low rank structure (SLR), which rely on the high degree of spatiotemporal correlation first-pass data, can significantly accelerate image acquisition mitigating these...
The therapeutic efficacy of radioimmunotherapy against triple negative breast cancer (TNBC) is largely limited by the complicated tumor microenvironment (TME) and its immunosuppressive state. Thus developing a strategy to reshape TME expected achieve highly efficient radioimmunotherapy. Therefore, we designed synthesized tellurium (Te)-driven maple leaf manganese carbonate nanotherapeutics (MnCO
With the development of deep learning technology, more and scholars have applied it to hyperspectral image (HSI) classification improve accuracy. However, these deep-learning methods not only take a lot time in pre-training phase, but also relatively limited performance when there are fewer labeled samples. In order while reducing costs, this article proposes multikernel method based on local binary pattern random patches (LBPRP-MK), which integrates (LBP) into multiple-kernel framework....
Physical proximity and appearance guide people to interact with each other in different ways [1,6]. However, Video-Mediated Communications (VMC), these are distorted various ways. Monitors camera zooms make look close or far, monitors angles can be high low making tall short, volume loud soft, sound assertive submissive, --all independent of the true physical characteristics intentions participants. Here we test apparent height a person on how dominant they group decision-making task. We...
The brain–computer interface (BCI) plays an important role in neural restoration. Current BCI systems generally require complex experimental preparation to perform well, but this time-consuming process may hinder their use clinical applications. To explore the feasibility of simplifying system setup, a wearable based on steady-state visual evoked potential (SSVEP) was developed and evaluated. Fifteen healthy participants were recruited test fast-setup using dry wet electrodes real-life...
Chemical drug design based on the biochemical characteristics of cancer cells has become an important strategy for discovery novel anticancer drugs to enhance targeting effects and biocompatibility, decrease toxic side effects. Camptothecin (CPT) demonstrated strong activity in clinical trials but also notorious adverse In this study, we presented a smart targeted delivery system (Biotin-ss-CPT) that consists cancer-targeted moiety (biotin), cleavable disulfide linker (S-S bond) active CPT....
This paper describes an approach to managing tasks and processes that are distributed across a large number of people. The basic idea is use social visualization called task proxy create shared awareness amongst the participants in or process. process provided by enables its users monitor state, states participants, communicate with those particular states. We describe concept, first prototype, evaluation, discuss future directions.
Fasteners that hold rails in a fixed position are essentially important infrastructure components, and abnormal fasteners may cause train to derail. The periodical inspection of is significant guarantee for the safety railway operation, machine vision systems popularly applied fastener inspection. In this paper, we present an end-to-end detection method, which identifies from track image contains rail, fasteners, sleepers, etc. proposed method inspired well-established Faster R-CNN, but...
Compared with ordinary optical images, the situation of remote sensing images is much more complicated. The problems caused by shooting angles over Earth’s surface are: 1) some target categories complex environments greatly increase difficulty detection and 2) large small targets at same time leading to changes in scale are difficult handle. In this letter, we designed a novel scenario context-aware-based bidirectional feature pyramid network (SCBi-FPN) address above problems. There...
Abstract. In order to take full advantage of SAR images, it is necessary obtain the high precision location image. During geometric correction process ensure accuracy image and extract effective mapping information from precise geolocation important. This paper presents an improved analytical method (IAGM) that determine each pixel in a digital based on (AGM) proposed by X. K. Yuan aiming at realizing solution RD model. Tests will be conducted using RADARSAT-2 Comparing predicted feature...
A valid tactic for facile synthesis of multifunctional tellurium nanorods to achieve simultaneous chemophotohermal combination cancer therapy is reported by Tianfeng Chen and co-workers in article number 1701388. In with near-infrared (NIR) laser irradiation, the exhibit good photothermal conversion ability from NIR light heat energy, show excellent chemo-photothermal efficiency low toxicity normal organs.
Abstract. The rational polynomial coefficients (RPC) model is a generalized sensor model, which can achieve high approximation accuracy. And it widely used in the field of photogrammetry and remote sensing. Least square method usually to determine optimal parameter solution function model. However distribution control points not uniform or over-parameterized, leads singularity coefficient matrix normal equation. So equation becomes ill conditioned obtained solutions are extremely unstable...
Abstract. With the development of digital city, applications are more and widespread, while urban buildings complex. Therefore, establishing an effective data model is key to express building models accurately. In addition, combination 3D remote sensing become a trend build city there large amount resulting in redundancy. order solve limitation single modelling constructive solid geometry (CSG), this paper presents mixed method based on SCSG-BR for representation. On one hand, improved CSG...
Abstract. In remote sensing applications, the accuracy of time interval measurement is one most important parameters that affect quality pulsed lidar data. The traditional technique has disadvantages low accuracy, complicated circuit structure and large error. A high-precision data cannot be obtained in these methods. order to obtain higher cloud images based on measurement, a method proposed. charging capacitance sampling change capacitor voltage at same time. Firstly, approximate model...
Single source images do not contain the comprehensive information of target and recognition rate is low. Targeting to these problems, a new method based on fusing features in Visible (VIS), Middle Wave Infrared (MWIR) Long (LWIR) proposed. First, typical VIS, MWIR LWIR are extracted. The fused feature vector subsequently obtained by selection Fisher discriminant analysis. Finally, realized through Support Vector Machine (SVM). performance proposed five other algorithms were tested compared...