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万 晓华
医学技术学院
h-index
387
引用
12
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2009
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(62)
相似学者
(1)
指纹图谱
深入其中 Xiaohua Wan 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Three-Dimensional Reconstruction
91%
Experimental Result
73%
Fiducial Marker
58%
Deep Learning
38%
Reconstruction Process
32%
Memory Requirement
28%
reconstruction algorithm
28%
High Throughput
27%
Graphics Processing Unit
23%
Processing Time
23%
Gaussian Model
23%
Data Center
23%
Parallelization
23%
segmentation algorithm
23%
Energy Efficiency
23%
task-scheduling
23%
Scheduling Algorithm
23%
Surface Extraction
23%
Data Processing
19%
Convolutional Neural Network
18%
Relaxation Parameter
17%
Feature Extraction
17%
Backprojection
17%
Parallelism
17%
Optimization Problem
17%
Scale-Invariant Feature Transform
17%
Dimensional Structure
13%
Attention (Machine Learning)
13%
Noise-to-Signal Ratio
13%
Reference Genome
11%
Anisotropic Diffusion
11%
remote sensing imagery
11%
Temporal Feature
11%
Geometric Parameter
11%
Integrated Core
11%
Deep Neural Network
11%
Mobile Device
11%
Error Correction
11%
de-noising
11%
Deep Reinforcement Learning
11%
Intel Xeon Phi Coprocessor
11%
Learning Approach
11%
Analysis Framework
11%
Temporal Correlation
11%
Plane Rotation
11%
Energy Consumption
11%
Approximation (Algorithm)
11%
Parallel Algorithms
11%
Supercomputer
11%
Asynchronous Data Transfer
11%
Engineering
Three-Dimensional Reconstruction
100%
Experimental Result
94%
Graphics Processing Unit
72%
High Resolution
37%
Micrograph
32%
Processing Time
29%
Dimensional Structure
25%
Correlation Method
23%
Signal-to-Noise Ratio
23%
Relaxation Parameter
17%
Metrics
17%
Iterative Procedure
15%
Limitations
15%
Data Transfer
13%
Error Correction
11%
Transfer Learning
11%
Gaussian Model
11%
Matching Method
11%
Anisotropic Diffusion
11%
Deep Learning
11%
Simplifies
11%
Straight Line
11%
Location Estimation
11%
Fast Fourier Transform
11%
Template Matching
11%
Random Field
11%
Road
11%
Multiscale
11%
Isolation Method
11%
Multistage
11%
Convolutional Neural Network
11%
Natural Image
9%
Global Structure
9%
Loss Function
7%
Nanometre
7%
Feature Extraction
5%
Ground Truth
5%
Local Region
5%
Deep Neural Network
5%
Joints (Structural Components)
5%
Complex Structure
5%
Time-of-Flight
5%
Gaussians
5%
Noise Distribution
5%
Noise Pattern
5%
Noisy Data
5%
Parameter Estimation
5%
Three-Dimensional Models
5%
Computational Complexity
5%
Particle Swarm Optimization
5%
