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范 敬凡
光电学院
h-index
1609
引用
21
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
2010
2025
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(135)
相似学者
(8)
指纹图谱
深入其中 Jingfan Fan 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
Experimental Result
100%
Ultrasound Image
50%
Augmented Reality
39%
Image Sequence
38%
Vessel Segmentation
35%
Convolutional Network
35%
Point Cloud
34%
Segmentation Method
33%
Deep Learning
32%
Automatic Segmentation
25%
Lesion Segmentation
23%
Convolutional Neural Network
21%
de-noising
21%
Tracking System
21%
Adversarial Machine Learning
20%
Learning Framework
20%
Pose Estimation
19%
Rigid Transformation
19%
Temporal Feature
19%
Registration Error
18%
Vessel Centerline
17%
Deformation Field
17%
U-Net
15%
Tumor Segmentation
15%
Mean Algorithm
15%
Siamese Neural Network
15%
feature descriptor
15%
Local Structure
15%
Structural Similarity
15%
Generative Adversarial Networks
15%
Regularization
15%
Clinical Data
14%
Image Analysis
13%
Transfer Learning
13%
Optical Tracking
13%
Contextual Information
13%
Tracking Error
13%
Transformation Parameter
12%
image denoising
12%
Annotation
11%
Gaussian Mixture Model
11%
Traditional Method
11%
Tracking Object
11%
Clinical Application
11%
Tree Search
11%
Error Distance
11%
Motion Compensation
11%
Feature Mapping
11%
Motion Information
11%
Discriminator
10%
Engineering
Experimental Result
59%
Demonstrates
59%
Registration Method
52%
State-of-the-Art Method
47%
Centerline
41%
Tasks
38%
Multiscale
34%
Deep Learning
33%
Obtains
25%
Point Cloud
25%
Navigation System
24%
Set Point
23%
Deformation Field
23%
Augmented Reality
23%
Convolutional Neural Network
19%
Transfer Learning
19%
Similarities
19%
Medical Image
18%
Segmentation Method
17%
Coordinate System
17%
Rigid Transformation
17%
Local Mean
15%
Energy Engineering
15%
Loss Function
15%
Instrument Calibration
15%
Error Distance
14%
Fiducials
14%
Gaussian Mixture Model
11%
Side Branch
11%
Region of Interest
11%
Brain Image
10%
Metrics
10%
Imaging Systems
10%
Component Analysis
9%
Principal Components
9%
Distance Map
9%
Registration Accuracy
9%
Noise Ratio
9%
Optical Axis
9%
Prediction Performance
9%
Ground Truth
9%
Filtration
9%
Phase Image
7%
Multichannel
7%
Discriminator
7%
Laplacian Pyramid
7%
Patient Specific
7%
Head Pose Estimation
7%
Based Detection Method
7%
Reinforcement Learning
7%