A5046927687- Soft Robotics and Applications
- Medical Imaging Techniques and Applications
- Robotics and Sensor-Based Localization
- Robot Manipulation and Learning
- Medical Image Segmentation Techniques
- Robotic Locomotion and Control
- Dental Radiography and Imaging
- Robotic Path Planning Algorithms
- Topic Modeling
- Teleoperation and Haptic Systems
- Human Pose and Action Recognition
- Natural Language Processing Techniques
- Advanced Radiotherapy Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Orthodontics and Dentofacial Orthopedics
- Advancements in Battery Materials
- Advanced X-ray and CT Imaging
- Dental Implant Techniques and Outcomes
- Advanced Battery Materials and Technologies
- Prosthetics and Rehabilitation Robotics
- Radiomics and Machine Learning in Medical Imaging
- Robotic Mechanisms and Dynamics
- Advanced Manufacturing and Logistics Optimization
- Surgical Simulation and Training
Shenzhen Institutes of Advanced Technology
2015-2024
Chinese Academy of Sciences
2015-2024
Shanghai Jiao Tong University
2016-2024
University of Science and Technology of China
2023-2024
Second Affiliated Hospital of Fujian Medical University
2024
Fujian Medical University
2024
Jilin Agricultural Science and Technology University
2024
Jilin Agricultural University
2024
Sichuan Normal University
2024
Guizhou University
2007-2023
Background: Precise patient setup is critical in radiation therapy. Medical imaging plays an essential role setup. As compared to computed tomography (CT) images, magnetic resonance image (MRI) has high contrast for soft tissues, which becomes a promising modality during treatment. In this paper, we proposed method synthesize brain MRI images from corresponding planning CT (pCT) images. The synthetic (sMRI) can be used align with positioning (pMRI) equipped by MRI-guided accelerator account...
In this work, peony-like structured MoS2 with intercalation of polyaniline and crystal defects was prepared by a simple hydrothermal method. The defect-rich structure broad interlayer distance can effectively provide vast ion transport paths to enhance the diffusion rate. PA-MoS2 maintain 157.7 mA h g-1 at 0.1 A after 80 cycles 77.8 1 750 cycles.
This paper intends to create a simulation of manipulator and illustrates the methods how implement robot control in short time. Here we complete grasp place mission using Gazebo virtual world Robot Operating System (ROS). ROS is distributed framework that widely used robotics. Considering advantages its easier hardware abstraction code reuse, was chosen rapidly organize task architecture and, due compatibility with ROS, as main platform simulate designated motion manipulator.
Purpose: A three‐dimensional (3D) model of the teeth provides important information for orthodontic diagnosis and treatment planning. Tooth segmentation is an essential step in generating 3D digital from computed tomography (CT) images. The aim this study to develop accurate efficient tooth method CT Methods: dental volumetric images are segmented slice by a two‐dimensional (2D) transverse plane. 2D composed manual initialization automatic step. In step, user manually picks starting selects...
Three-dimensional (3D) models of tooth-alveolar bone complex are needed in treatment planning and simulation for computer-aided orthodontics. Tooth alveolar segmentation from computed tomography (CT) images is a fundamental step reconstructing their models. Due to less application conventional orthodontic which may cause undesired side effects, the previous studies mainly focused on tooth reconstruction, did not consider bone. In this study, we proposed method implement both dental CT 3D...
Cross-modality medical image synthesis between magnetic resonance (MR) images and computed tomography (CT) has attracted increasing attention in many imaging area. Many deep learning methods have been used to generate pseudo-MR/CT from counterpart modality images. In this study, we U-Net Cycle-Consistent Adversarial Networks (CycleGAN), which were typical networks of supervised unsupervised methods, respectively, transform MR/CT their modality. Experimental results show that synthetic...
The dynamic economic dispatching of power system connected with multiple wind farms is a typical stochastic programming problem. How to model the randomness and how solve this complex optimization problem are key points. In paper, copula theory used formulate correlation multiwind generation. Then, founded fuel consumption, gas pollution emission fees, electricity purchase costs as optimized objective. two-stage compensation algorithm then introduced algorithm, conventional (nonstochastic)...
Mental workload (MWL) assessment is crucial in fatigue evaluation applications to avoid potential health problems or serious accidents. This article proposes an MWL recognition approach developed with a topological investigation of the electroencephalography (EEG)-based brain functional connectivity (FC) network. In this work, graph-filtration-based features are extracted reveal state variations using persistent homology technique from data analysis (TDA) area. Three public open benchmark...
Sensor-based human activity recognition (HAR) plays a fundamental role in various mobile application scenarios, but the model performance of HAR heavily relies on richness dataset and completeness data annotation. To address shortage comprehensive types collected datasets, we adopt domain adaptation technique with graph neural network-based approach by incorporating an adaptive learning mechanism to enhance action model’s generalization ability, especially when faced limited sample sizes....
Background and purpose.Replacing CT imaging with MR for MR-only radiotherapy has sparked the interest of many scientists is being increasingly adopted in radiation oncology. Although studies have focused on generating images from images, only models data same dataset were tested. Therefore, how well trained model will work different hospitals protocols still unknown. In this study, we addressed generalization problem MR-to-CT conversion task.Materials methods.Brain T2 corresponding collected...