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Hua Li
Research Associate Professor
,
Biomedical and Translational Sciences
Research Associate Professor
,
Beckman Institute for Advanced Science and Technology
Research Professor
,
Bioengineering
Email
huali19
illinois
edu
Overview
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Research & Scholarship
(110)
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(6)
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Dive into the research topics where Hua Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Radiation Therapy
61%
Image Quality
59%
Learning-based
57%
Phantom
44%
Imaging Systems
41%
Active Contour
40%
Linear Accelerator (LINAC)
40%
Ideal Observer
39%
Deep Learning Methods
33%
Task Performance
30%
Stochastic Object Model
29%
Signal Detection Task
28%
Tumor
28%
Medical Image Classification
27%
Medical Imaging
25%
Multi-slice
25%
Neural Network
25%
PET Image
25%
Phantom Study
24%
Helical CT
23%
Segmentation Method
22%
Treatment Planning
22%
Binary Signals
22%
Self-supervised Learning
22%
Metal Artifact Reduction
22%
Tumor Delineation
22%
Generative Adversarial Networks
22%
Tumor Segmentation
21%
Image Data
21%
Metal Artifacts
20%
Artifact Suppression
20%
Computed Tomography Images
20%
Oropharyngeal Squamous Cell Carcinoma (OPSCC)
20%
Deep Neural Network
19%
Classification Performance
19%
Supervised Learning
18%
Image Registration
18%
Multi-label Learning
18%
Computational Imaging
18%
Segmentation Approach
18%
Unlabeled Data
17%
Radiotherapy
17%
Image Reconstruction
17%
Supervised Learning Method
17%
Feature Extracting
17%
Minimal Path
17%
Tubular Surface
16%
Deformable Image Registration
16%
Electronic Portal Imaging Device
16%
Level Set Method
16%
Engineering
Tasks
100%
Radiotherapy
89%
Metrics
53%
Active Contour
52%
Imaging Systems
46%
Ideal Observer
41%
Signal Detection
37%
Deep Learning
36%
Medical Image
25%
Metal Implant
25%
Image Reconstruction
25%
Convolutional Neural Network
22%
Reconstructed Image
22%
Experimental Result
22%
Joints (Structural Components)
22%
Minimal Path
22%
Level Set
21%
Detection Task
21%
Image Quality Assessment
20%
Clustering Algorithm
19%
Segmentation Method
18%
Deep Neural Network
17%
Medical Image Segmentation
16%
Level Set Method
16%
Energy Engineering
16%
Projection Data
15%
Local Minimum
14%
Fits and Tolerances
14%
Flatness
13%
Iterative Process
13%
Regularization
13%
Region of Interest
12%
Autoencoder
12%
Image Sequence
12%
Registration Method
11%
Minimizer
11%
Signal-to-Noise Ratio
11%
Similarities
11%
Noise Ratio
11%
Centerline
11%
Image Classification
11%
Feature Extraction
11%
Deep Boltzmann Machine
11%
Motion Field
11%
Collimator
11%
Hip Prosthesis
11%
High Resolution
10%
Feasibility Study
10%
Seed Point
10%
Illustrates
9%
Computer Science
Image Quality
67%
Imaging Systems
50%
Image Classification
40%
Deep Learning
37%
Medical Imaging
32%
Supervised Learning
31%
Convolutional Neural Network
30%
Signal Detection
30%
Classification Performance
24%
Image Reconstruction
22%
Self-Supervised Learning
22%
Active Learning
22%
Image Quality Assessment
19%
Extracted Feature
17%
Unlabeled Data
17%
Computer Simulation
17%
Regularization
17%
Generative Adversarial Networks
17%
Superior Performance
16%
Cancer Patient
16%
Active Contour
16%
Training Data
16%
Performance Model
16%
Segmentation Method
15%
image feature
15%
Distance Metric
15%
Tumor Segmentation
15%
Deep Neural Network
15%
reconstruction algorithm
15%
Task Performance
14%
Experimental Result
14%
Good Performance
14%
Ultrasound Image
14%
Image Segmentation
14%
Belief Function
13%
Feature Selection
13%
Clustering Algorithm
13%
Reconstructed Image
13%
Deep Learning
13%
Annotation
13%
markov chain monte-carlo
12%
Characteristic Curve
12%
Autoencoder
12%
Treatment Outcome
12%
Dempster-Shafer Theory
12%
Simulation Study
12%
de-noising
11%
User Interaction
11%
Deep Learning Model
11%
Convergence Speed
11%
