Eric L. Miller
Tufts University
415 Papers
2.6K Citations
Eric L. Miller is an academic researcher from Tufts University. The author has contributed to research in topics: Inverse problem & Iterative reconstruction. The author has an hindex of 54, co-authored 399 publications. Previous affiliations of Eric L. Miller include Verizon Communications & University of Maryland, Baltimore County.
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Papers
Imaging the body with diffuse optical tomography
David A. Boas,Dana H. Brooks,Eric L. Miller,Charles A. DiMarzio,Misha E. Kilmer,R.J. Gaudette,Quan Zhang +6 more
TL;DR: The basic idea of DOT is introduced, the history of optical methods in medicine is reviewed, and a review of the tissue's optical properties, modes of operation for DOT, and the challenges which the development of DOT must overcome are detailed.
857
Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography
TL;DR: The generalized tensor nuclear norm can be used as a standalone regularization technique for the energy selective (spectral) computed tomography problem and when combined with total variation regularization it enhances the regularization capabilities especially at low energy images where the effects of noise are most prominent.
427
Rationally designed small compounds inhibit pilus biogenesis in uropathogenic bacteria
Jerome S. Pinkner,Han Remaut,Floris Buelens,Eric L. Miller,Veronica Åberg,Nils Pemberton,Mattias Hedenström,Andreas Larsson,Patrick C. Seed,Gabriel Waksman,Scott J. Hultgren,Fredrik Almqvist +11 more
TL;DR: These pilicides target key virulence Factors in pathogenic bacteria and represent a promising proof of concept for developing drugs that function by targeting virulence factors.
316
Efficient determination of multiple regularization parameters in a generalized L-curve framework
TL;DR: In this paper, the selection of multiple regularization parameters is considered in a generalized L-curve framework, and a minimum distance function (MDF) is developed for approximating the regularization parameter corresponding to the generalized corner of the L-hypersurface.
Tomographic optical breast imaging guided by three-dimensional mammography
Ang Li,Eric L. Miller,Misha E. Kilmer,Thomas J. Brukilacchio,Tina Chaves,Jonathan J. Stott,Quan Zhang,Tao Wu,MaryAnn Chorlton,Richard H. Moore,Daniel B. Kopans,David A. Boas +11 more
TL;DR: A modified Tikhonov regularization method is introduced to include three-dimensional x-ray mammography as a prior in the diffuse optical tomography reconstruction and an approach is suggested to find the optimal regularization parameters.