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范 敬凡
光电学院
h-index
1706
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
(141)
相似学者
(11)
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
48%
Point Cloud
48%
Augmented Reality
38%
Image Sequence
36%
Vessel Segmentation
34%
Convolutional Network
34%
Segmentation Method
31%
Deep Learning
31%
Automatic Segmentation
24%
Lesion Segmentation
22%
Convolutional Neural Network
20%
de-noising
20%
Tracking System
20%
Pose Estimation
20%
Adversarial Machine Learning
20%
Learning Framework
19%
Registration Error
19%
Rigid Transformation
18%
Temporal Feature
18%
Deep Learning Method
17%
Vessel Centerline
17%
Deformation Field
16%
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%
Virtual Reality
15%
Recurrent Network
15%
Clinical Data
14%
Discriminator
14%
Image Analysis
12%
Transfer Learning
12%
Optical Tracking
12%
Contextual Information
12%
Tracking Error
12%
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%
Engineering
Experimental Result
58%
Demonstrates
56%
Registration Method
50%
State-of-the-Art Method
48%
Centerline
39%
Tasks
36%
Multiscale
33%
Point Cloud
32%
Deep Learning
31%
Navigation System
25%
Obtains
24%
Augmented Reality
24%
Set Point
22%
Deformation Field
22%
Similarities
20%
Convolutional Neural Network
19%
Transfer Learning
19%
Medical Image
17%
Segmentation Method
17%
Coordinate System
17%
Rigid Transformation
16%
Local Mean
15%
Energy Engineering
15%
Loss Function
15%
Biomechanical Model
15%
Gaussians
15%
Instrument Calibration
14%
Error Distance
14%
Metrics
14%
Fiducials
13%
Gaussian Mixture Model
11%
Side Branch
11%
Region of Interest
11%
Network Model
11%
Brain Image
10%
Imaging Systems
9%
Component Analysis
9%
Principal Components
9%
Distance Map
9%
Geometric Feature
9%
Registration Accuracy
9%
Noise Ratio
9%
Optical Axis
8%
Prediction Performance
8%
Ground Truth
8%
Filtration
8%
Medical Image Segmentation
8%
Deep Learning Method
8%
Phase Image
7%
Multichannel
7%
