2012 - IEEE Fellow For contributions to inverse problems and physics-based signal and image processing
Artificial intelligence, Tomography, Optics, Iterative reconstruction and Computer vision are his primary areas of study. His Artificial intelligence research incorporates elements of Smoothing and Pattern recognition. His Tomography research incorporates themes from Alzheimer's disease, Disease and Scattering.
His Optics research includes themes of Integral equation and Inverse problem. His work focuses on many connections between Iterative reconstruction and other disciplines, such as Imaging phantom, that overlap with his field of interest in Adipose tissue and Focus. His studies deal with areas such as Image quality and Medical imaging as well as Diffuse optical imaging.
Eric L. Miller mainly focuses on Algorithm, Inverse problem, Artificial intelligence, Optics and Computer vision. His Algorithm course of study focuses on Mathematical optimization and Applied mathematics and Covariance matrix. His research in Inverse problem intersects with topics in Tomography, Parametric statistics, Iterative reconstruction and Nonlinear system.
His Tomography research is multidisciplinary, incorporating perspectives in Image quality and Compton scattering. His Iterative reconstruction research focuses on Diffuse optical imaging in particular. Eric L. Miller interconnects Acoustics, Ground-penetrating radar and Medical imaging in the investigation of issues within Optics.
Eric L. Miller spends much of his time researching Algorithm, Compton scattering, Inverse problem, Attenuation and Tomography. His Inverse problem research is multidisciplinary, incorporating elements of Earth science, Systems modeling, Density estimation, Applied mathematics and Iterative reconstruction. His Attenuation study is focused on Optics in general.
His Optics research includes elements of Transmitter and Electronic engineering. The Tomography study combines topics in areas such as Iterative method, Edge enhancement and Computer vision. His Segmentation and Image segmentation study, which is part of a larger body of work in Computer vision, is frequently linked to A priori and a posteriori, bridging the gap between disciplines.
Eric L. Miller focuses on Ultrasound, Smart phone, Medical physics, Focused ultrasound and Barcode. His Ultrasound study combines topics from a wide range of disciplines, such as Speed of sound, Frequency domain, Iterative reconstruction and Wave equation. His study in Medical physics is interdisciplinary in nature, drawing from both Ophthalmology and Therapeutic ultrasound.
Eric L. Miller has included themes like Brain tumor and Drug delivery in his Focused ultrasound study. His Interference research entails a greater understanding of Optics. His study connects Electronic engineering and Optics.
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Imaging the body with diffuse optical tomography
D.A. Boas;D.H. Brooks;E.L. Miller;C.A. DiMarzio.
IEEE Signal Processing Magazine (2001)
A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets
Oliver Dorn;Eric L Miller;Carey M Rappaport.
Inverse Problems (2000)
Wavelet domain image restoration with adaptive edge-preserving regularization
M. Belge;M.E. Kilmer;E.L. Miller.
IEEE Transactions on Image Processing (2000)
Tomographic optical breast imaging guided by three-dimensional mammography
Ang Li;Eric L. Miller;Misha E. Kilmer;Thomas J. Brukilacchio.
Applied Optics (2003)
Efficient determination of multiple regularization parameters in a generalized L-curve framework
Murat Belge;Misha E Kilmer;Eric L Miller.
Inverse Problems (2002)
Multiple hypothesis video segmentation from superpixel flows
Amelio Vazquez-Reina;Shai Avidan;Hanspeter Pfister;Eric Miller.
european conference on computer vision (2010)
Combined optical and X-ray tomosynthesis breast imaging.
Qianqian Fang;Juliette Selb;Stefan A. Carp;Gregory Boverman.
Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography
Oguz Semerci;Ning Hao;Misha E. Kilmer;Eric L. Miller.
IEEE Transactions on Image Processing (2014)
Nonlocal Means Denoising of ECG Signals
Brian H. Tracey;Eric L. Miller.
IEEE Transactions on Biomedical Engineering (2012)
Combined Optical Imaging and Mammography of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression
Qianqian Fang;S.A. Carp;J. Selb;G. Boverman.
IEEE Transactions on Medical Imaging (2009)
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