D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 46 Citations 7,441 235 World Ranking 1822 National Ranking 761

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to inverse problems and physics-based signal and image processing

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Optics

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.

His most cited work include:

  • Imaging the body with diffuse optical tomography (567 citations)
  • A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets (226 citations)
  • Tomographic optical breast imaging guided by three-dimensional mammography (205 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Algorithm (28.29%)
  • Inverse problem (20.17%)
  • Artificial intelligence (20.17%)

What were the highlights of his more recent work (between 2015-2021)?

  • Algorithm (28.29%)
  • Compton scattering (3.92%)
  • Inverse problem (20.17%)

In recent papers he was focusing on the following fields of study:

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.

Between 2015 and 2021, his most popular works were:

  • Closed-loop control of targeted ultrasound drug delivery across the blood-brain/tumor barriers in a rat glioma model. (95 citations)
  • Flexible pH‐Sensing Hydrogel Fibers for Epidermal Applications (72 citations)
  • Searching for the 3.5 keV Line in the Deep Fields with Chandra: the 10 Ms observations (47 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Optics

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Imaging the body with diffuse optical tomography

D.A. Boas;D.H. Brooks;E.L. Miller;C.A. DiMarzio.
IEEE Signal Processing Magazine (2001)

844 Citations

A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets

Oliver Dorn;Eric L Miller;Carey M Rappaport.
Inverse Problems (2000)

300 Citations

Wavelet domain image restoration with adaptive edge-preserving regularization

M. Belge;M.E. Kilmer;E.L. Miller.
IEEE Transactions on Image Processing (2000)

260 Citations

Tomographic optical breast imaging guided by three-dimensional mammography

Ang Li;Eric L. Miller;Misha E. Kilmer;Thomas J. Brukilacchio.
Applied Optics (2003)

259 Citations

Efficient determination of multiple regularization parameters in a generalized L-curve framework

Murat Belge;Misha E Kilmer;Eric L Miller.
Inverse Problems (2002)

256 Citations

Multiple hypothesis video segmentation from superpixel flows

Amelio Vazquez-Reina;Shai Avidan;Hanspeter Pfister;Eric Miller.
european conference on computer vision (2010)

211 Citations

Combined optical and X-ray tomosynthesis breast imaging.

Qianqian Fang;Juliette Selb;Stefan A. Carp;Gregory Boverman.
Radiology (2011)

206 Citations

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)

203 Citations

Nonlocal Means Denoising of ECG Signals

Brian H. Tracey;Eric L. Miller.
IEEE Transactions on Biomedical Engineering (2012)

178 Citations

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)

175 Citations

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