Dr. Partha Mukherjee joined the faculty of the Department of Mathematics at Boise
State University in 2012. His education includes Bachelor and Master of Statistics
degrees from the Indian Statistical Institute in Kolkata, India, and an M.S. and Ph.D. in
Statistics from the University of Minnesota. Before coming to Boise State, he spent a
year as a postdoctoral research associate in the Department of Biostatistics at the
University of North Carolina at Chapel Hill. Dr. Mukherjee's research interests
include biomedical image analysis including MRI and fMRI imaging, analysis of
tensor-valued images, jump regression analysis and its applications, and statistical
process control. His consulting work has included studying the influence of APOE4 and
APOE3 genes and air pollutants on Alzheimer’s disease and the analysis of data for the
Veterinary Diagnostic Laboratory at the University of Minnesota.

Articles

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Edge Structure Preserving 3D Image Denoising by Local Surface Approximation (with Peihua Qiu), IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

In various applications, including magnetic resonance imaging (MRI) and functional MRI (fMRI), 3D images are...

 

Link

3-D Image Denoising by Local Smoothing and Nonparametric Regression (with Peihua Qiu), Technometrics (2011)

Three-dimensional (3-D) images are becoming increasingly popular in image applications, such as magnetic resonance imaging...

 

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Edge Structure Preserving Image Denoising (with Peihua Qiu), Signal Processing (2010)

Image denoising is important in image analysis. It is often used for pre-processing images so...

 

Contributions to Books

Edge Structure Preserving 3-D Image Denoising (with Peihua Qiu), Applications of Mathematics and Computer Engineering (2011)

In various applications, including magnetic resonance imaging (MRI) and functional MRI (fMRI), 3- D images...

 

Presentations

Edge Structure Preserving 2-D and 3-D Image Denoising by Jump Surface Estimation, Department of Statistics, University of Minnesota (2011)
 

Efficient Bias Correction for MRI Image Denoising (Invited Talk), International Indian Statistical Association Conference on Probability, Statistics, and Data Analysis (2011)

Magnetic resonance imaging (MRI) is a popular radiology technique that is used for visualizing detailed...

 

3-D Image Denoising by Local Smoothing and Nonparametric Regression, and an Efficient Bias Correction Procedure for MRI Image Denoising, Biostatistics and Imaging Analysis (BIAS) Lab, The University of North Carolina at Chapel Hill (2011)