Zhihua Xie

ORCID: 0000-0002-4226-7497
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About
Contact & Profiles
Research Areas
  • Face and Expression Recognition
  • Photoacoustic and Ultrasonic Imaging
  • Face recognition and analysis
  • Remote-Sensing Image Classification
  • Nanoplatforms for cancer theranostics
  • Infrared Target Detection Methodologies
  • Remote Sensing and Land Use
  • Video Surveillance and Tracking Methods
  • Emotion and Mood Recognition
  • Optical Imaging and Spectroscopy Techniques
  • Image and Video Stabilization
  • Advanced Image Fusion Techniques
  • Advanced Computing and Algorithms
  • Thermography and Photoacoustic Techniques
  • Infrared Thermography in Medicine
  • Industrial Vision Systems and Defect Detection
  • Human Pose and Action Recognition
  • Extracellular vesicles in disease
  • Image Enhancement Techniques
  • Biometric Identification and Security
  • Video Analysis and Summarization
  • Angiogenesis and VEGF in Cancer
  • Random lasers and scattering media
  • Advanced Computational Techniques and Applications
  • Optical Coherence Tomography Applications

Jiangxi Science and Technology Normal University
2016-2025

Shenzhen Institutes of Advanced Technology
2017-2024

Chinese Academy of Sciences
2011-2023

South China Agricultural University
2020

Wuhan University of Technology
2015

Changchun Institute of Optics, Fine Mechanics and Physics
2011

Jiangxi University of Finance and Economics
2008

Hunan University
2005-2007

Litchi is often harvested by clamping and cutting the branches, which are small can easily be damaged picking robot. Therefore, detection of litchi branches particularly significant. In this article, an fully convolutional neural network-based semantic segmentation algorithm proposed to semantically segment branches. First, DeepLabV3+ model combined with Xception depth separable convolution feature. Second, transfer learning data enhancement used accelerate convergence improve robustness...

10.1109/access.2020.3021739 article EN cc-by IEEE Access 2020-01-01

Objectives:The objective of this study was to demonstrate the feasibility using noninvasive photoacoustic imaging technology along with novel semiconducting polymer nanoparticles for in vivo identifying inflammatory components carotid atherosclerosis and assessing severity inflammation mouse models.Methods Results: Healthy arteries atherosclerotic were imaged by system.Molecular probes PBD-CD36 used label cells show information imaging.In experiments, we observed maximum signal enhancement...

10.7150/thno.41211 article EN cc-by Theranostics 2020-01-01

Semiconducting polymer nanoparticles (PDPPTBZ NPs) with a high mass extinction coefficient of 43 mL mg<sup>−1</sup> cm<sup>−1</sup> at 1064 nm have been devised as contrast agent for deep photoacoustic imaging gliomas under ultralow laser fluence (4 mJ cm<sup>−2</sup>).

10.1039/c9nr00552h article EN Nanoscale 2019-01-01

10.1109/icassp49660.2025.10888501 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

Myocardial infarctions are most often caused by the so-called vulnerable plaques, usually featured as non-obstructive lesions with a lipid-rich necrotic core, thin-cap fibroatheroma, and large plaque size. The identification quantification of these characteristics keys to evaluate vulnerability. However, single modality intravascular methods, such ultrasound, optical coherence tomography photoacoustic, can hardly achieve all comprehensive information satisfy clinical needs. In this paper,...

10.1364/boe.420724 article EN cc-by Biomedical Optics Express 2021-03-01

Rupture or erosion of inflammatory atherosclerotic vulnerable plaque is essential to acute coronary events, while the target intervene very challenging, due relatively small volume, high hemodynamic shear stress, and multifactorial nature lesion foci. Herein, we utilize biological functionality neutrophil versatility microbubble in acoustic field, form Neu-balloon through CD11b antibody binding. The inherits advantage neutrophils on firming endothelium adhesion even at stress up 16 dyne/cm2...

10.34133/2022/9830627 article EN cc-by Research 2022-01-01

The endometrium microvessel system, responsible for supplying oxygen and nutrients to the embryo, holds significant importance in evaluating endometrial receptivity (ER). Visualizing this system directly can significantly enhance ER evaluation. Currently, clinical methods like Narrow-band hysteroscopy Color Doppler ultrasound are commonly used uterine blood vessel examination, but they have limitations depth or resolution. Endoscopic Photoacoustic Imaging (PAE) has proven effective...

10.1016/j.pacs.2024.100589 article EN cc-by-nc-nd Photoacoustics 2024-01-24

Intravascular photoacoustic (IVPA) imaging technology enables the visualization of pathological characteristics (such as inflammation activities, lipid deposition) artery wall. Blood flushing is a necessary step in improving quality vivo IVPA imaging. But limited speed systems stretches their time, which an important obstacle clinical translations. In this paper, we report improvement IVPA/IVUS to 100 frames per second. The high-speed demonstrated rabbit , visualizing nanoparticles...

10.1364/boe.405792 article EN cc-by Biomedical Optics Express 2020-10-03

Current intravascular imaging modalities face hurdles in the molecular evaluation of progressed plaques. This study aims to construct a novel hybrid system (intravascular ultrasound/intravascular photoacoustic, IVPA/IVUS) via RGDfk peptide-targeted nanoparticles for monitoring angiogenesis atherosclerotic plaques rabbit model. An model was induced by abdominal aorta balloon de-endothelialization followed high-fat diet. A human serum albumin (HSA)-based nanoprobe modified with peptide...

10.1016/j.pacs.2021.100262 article EN cc-by-nc-nd Photoacoustics 2021-03-19

A micro-expression (ME), as a spontaneous facial expression, usually occurs instantaneously and is difficult to disguise after an emotion-evoking event. Numerous convolutional neural network (CNN)-based models have been widely explored recognize MEs for their strong local feature representation ability on images. However, the main drawback of current methods inability fully extracting holistic contextual information from ME To achieve efficient learning diverse perspectives, this paper uses...

10.3390/electronics13020461 article EN Electronics 2024-01-22

To address the challenges of excessive model parameters and low detection accuracy in printed circuit board (PCB) defect detection, this paper proposes a novel PCB based on improved RTDETR (Real-Time Detection, Embedding Tracking) method, named MFAD-RTDETR. Specifically, proposed introduces designed Detail Feature Retainer (DFR) into original backbone to capture retain local details. Subsequently, Mamba architecture, Visual State Space (VSS) module is integrated enhance global attention...

10.3390/electronics13173557 article EN Electronics 2024-09-07

Abstract The auto-encoder (AE) based image fusion models have achieved encouraging performance on infrared and visible fusion. However, the meaningful information loss in encoding stage simple unlearnable strategy are two significant challenges for such models. To address these issues, this paper proposes an model interactive residual attention contrastive learning frequency domain. Firstly, source is transformed into three sub-bands of high-frequency, low-frequency, mid-frequency powerful...

10.1038/s41598-023-51045-9 article EN cc-by Scientific Reports 2024-01-02

The traditional LBP Histogram representation extracts the local micro-patterns and assigns same weight all micro-patterns. To combine different contribution to face recognition, this paper proposes a weighted histogram based on Weber's law. Firstly, inspired by psychological law, intensity of micro-pattern is defined ratio between two terms: one relative differences central pixel against its neighbors, other pixel. Secondly, regarding as weight, constructed with weight. Finally, make full...

10.1109/icig.2011.51 article EN 2011-08-01

Photoacoustic imaging (PAI) is one of the most recent additions to expanding armamentarium diagnostic technologies. Based on working principles optics and ultrasound, PAI provides relatively accurate, differential, comprehensive information for a variety physiological pathological conditions in real-time fashion. was previously put use field clinical oncology has only recently been attempted diseases heart vessels. Notwithstanding fact that it still pre-clinical stage, PAI, with its...

10.1109/access.2019.2902543 article EN cc-by-nc-nd IEEE Access 2019-01-01
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