Pogue, B.W.
* 1999: Confidence maps and confidence intervals for near infrared images in breast cancer
* 2001: Microwave image reconstruction utilizing log-magnitude and unwrapped phase to improve high-contrast object recovery
* 2002: Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: part I-theory and simulations
* 2002: Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: part II-experimental interpretation
* 2011: MR Water Quantitative Priors Improves the Accuracy of Optical Breast Imaging
* 2012: Information loss and reconstruction in diffuse fluorescence tomography
* 2014: Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging
* 2017: Directional Kernel Density Estimation for Classification of Breast Tissue Spectra
* 2017: Online Combination of EPID-Cherenkov Imaging for 3-D Dosimetry in a Liquid Phantom
* 2018: Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions
* 2021: Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models
* 2025: Deep Learning Enables Fast and Accurate Quantification of MRI-Guided Near-Infrared Spectral Tomography for Breast Cancer Diagnosis
* 2025: Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography
Includes: Pogue, B.W. Pogue, B.W.[Brian W.] Pogue, B.W.[Brain W.]
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