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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
(114)
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(2)
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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
Image Quality
71%
Learning-based
70%
Radiation Therapy
68%
Phantom
49%
Imaging Systems
47%
Active Contour
45%
Linear Accelerator (LINAC)
45%
Ideal Observer
44%
Deep Learning Methods
39%
Task Performance
37%
Stochastic Object Model
33%
Tumor
33%
Signal Detection Task
32%
Neural Network
31%
Medical Image Classification
31%
Medical Imaging
28%
Multi-slice
28%
PET Image
28%
Supervised Learning
27%
Phantom Study
27%
Helical CT
25%
Segmentation Method
25%
Treatment Planning
25%
Binary Signals
25%
Self-supervised Learning
24%
Metal Artifact Reduction
24%
Tumor Delineation
24%
Generative Adversarial Networks
24%
Image Denoising
24%
Tumor Segmentation
23%
Image Data
23%
Metal Artifacts
22%
Artifact Suppression
22%
Computed Tomography Images
22%
Oropharyngeal Squamous Cell Carcinoma (OPSCC)
22%
Deep Neural Network
21%
Classification Performance
21%
Image Registration
20%
Multi-label Learning
20%
Computational Imaging
20%
Segmentation Approach
20%
Unlabeled Data
19%
Radiotherapy
19%
Image Reconstruction
19%
Supervised Learning Method
19%
Feature Extracting
19%
Minimal Path
19%
Medical Image
19%
Tubular Surface
18%
Deformable Image Registration
18%
Engineering
Radiotherapy
100%
Metrics
63%
Active Contour
58%
Imaging Systems
52%
Ideal Observer
46%
Signal Detection
42%
Deep Learning Method
41%
Image Reconstruction
32%
Medical Image
29%
Metal Implant
28%
Reconstructed Image
26%
Convolutional Neural Network
25%
Experimental Result
25%
Joints (Structural Components)
24%
Minimal Path
24%
Level Set
23%
Detection Task
23%
Image Quality Assessment
22%
Clustering Algorithm
21%
Segmentation Method
20%
Projection Data
19%
Deep Neural Network
19%
Medical Image Segmentation
18%
Level Set Method
18%
Local Minimum
16%
Fits and Tolerances
15%
Flatness
15%
Iterative Process
15%
Regularization
14%
Region of Interest
14%
Autoencoder
14%
Noise Ratio
14%
Signal-to-Noise Ratio
13%
Image Sequence
13%
Registration Method
13%
Minimizer
13%
High Resolution
12%
Similarities
12%
Image Classification
12%
Feature Extraction
12%
Deep Boltzmann Machine
12%
Motion Field
12%
Centerline Plane
12%
Collimator
12%
Hip Prosthesis
12%
Patient Image
11%
Feasibility Study
11%
Seed Point
11%
Illustrates
11%
Spatial Resolution
10%
Computer Science
Image Quality
83%
Deep Learning Method
55%
Imaging Systems
46%
Image Classification
45%
Supervised Learning
41%
Signal Detection
39%
Medical Imaging
37%
Convolutional Neural Network
37%
Classification Performance
27%
Image Reconstruction
26%
Self-Supervised Learning
24%
Active Learning
24%
Image Quality Assessment
21%
Generative Adversarial Networks
21%
Feature Extraction
20%
image feature
19%
Extracted Feature
19%
Unlabeled Data
19%
Computer Simulation
19%
Regularization
19%
Superior Performance
18%
Task Performance
18%
Cancer Patient
18%
Active Contour
18%
image denoising
18%
Training Data
18%
Performance Model
18%
Tumor Segmentation
18%
Segmentation Method
17%
Distance Metric
17%
Deep Neural Network
17%
reconstruction algorithm
17%
Experimental Result
16%
de-noising
16%
Good Performance
16%
Ultrasound Image
16%
Image Segmentation
16%
Belief Function
15%
Feature Selection
15%
Clustering Algorithm
15%
Reconstructed Image
15%
Annotation
14%
markov chain monte-carlo
14%
Characteristic Curve
13%
Treatment Outcome
13%
Dempster-Shafer Theory
13%
Simulation Study
13%
User Interaction
12%
Deep Learning Model
12%
Convergence Speed
12%
