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Fan Lam
Associate Professor
,
Bioengineering
Director, M.S. in Biomedical Image Computing Program
,
Bioengineering
Associate Professor
,
Electrical and Computer Engineering
Associate Professor
,
Neuroscience Program
Associate Professor
,
Biomedical and Translational Sciences
Associate Professor
,
Beckman Institute for Advanced Science and Technology
Affiliate, Personalized Nutrition Initiative
,
Carl R. Woese Institute for Genomic Biology
Email
fanlam1
illinois
edu
Overview
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Research & Scholarship
(61)
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(2)
Honors
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Dive into the research topics where Fan Lam is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
MR Spectroscopic Imaging (MRSI)
100%
High-resolution
86%
Image Reconstruction
70%
Sparsity Constraint
47%
Imaging Data
46%
Magnetic Resonance Imaging
46%
MR Spectroscopic Imaging
45%
1H-MRS
43%
Sparse Sampling
34%
Spectroscopic Imaging
31%
Spices
30%
Diffusion-weighted Image
26%
Macromolecules
26%
Subspace Methods
24%
Subspace Model
24%
Edge Constraint
22%
Magnetic Resonance Image Reconstruction
22%
Subspace Approach
22%
Mass Spectrometry Imaging
22%
Low-rank Constraint
22%
MR Image Reconstruction
22%
Optimization Problem
21%
Compressed Sensing
21%
Signal-to-noise Ratio
21%
Undersampled Data
21%
Undersampling
20%
Denoising
20%
Parameter Mapping
20%
Parameter Estimation
19%
MR Parameter Mapping
18%
Target Image
18%
Partially Separable Functions
17%
Metabolic Imaging
17%
Partial Separability
16%
T2 Mapping
16%
Cine Cardiac MRI
15%
Dynamic Imaging
15%
Denoising Diffusion
15%
Rank Constraint
15%
Spectral-spatial Feature
15%
Nonlocal Operators
15%
Patch-based
15%
Reference Dependence
15%
Deep Learning
15%
Spectral Quantification
15%
Low-dimensional Models
15%
Low-rank Filtering
15%
Ultrafast
15%
Union of Subspaces Model
14%
Imaging Applications
14%
Engineering
Image Reconstruction
88%
High Resolution
77%
Sparsity
60%
Regularization
48%
Compressed Sensing
34%
Joints (Structural Components)
32%
SPICE
30%
Simulation Result
27%
Space Data
26%
Signal Model
25%
Parameter Estimation
24%
Separability
22%
Optimisation Problem
22%
Dimensional Subspace
21%
Signal-to-Noise Ratio
21%
Target Image
20%
Image Model
19%
Reference Image
16%
Rank Tensor
15%
Filtration
15%
Harmonics
15%
Spectral Information
15%
Alternating Direction Method of Multipliers
14%
Experimental Result
13%
Fourier Transform
12%
Denoising Problem
12%
Spectral Distribution
11%
Conventional Method
11%
Illustrates
11%
Acquisition Time
11%
Data Model
10%
Similarities
10%
Temporal Resolution
10%
Spatial Resolution
9%
Dynamic Contrast
9%
Basis Function
9%
Image Sequence
9%
State-of-the-Art Method
9%
Noisy Data
8%
Penalty Function
7%
Noise Ratio
7%
Dimensional Model
7%
Nonlinear Model
7%
Relative Stability
7%
Motion Compensation
7%
Eluting Stent
7%
Spectral Estimation
7%
Spectral Feature
7%
Constraint Parameter
7%
Spectral Dimension
7%
