M
Michael I. Miller
Researcher at Johns Hopkins University
Publications - 640
Citations - 38471
Michael I. Miller is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Large deformation diffeomorphic metric mapping & Computational anatomy. The author has an hindex of 92, co-authored 599 publications receiving 34915 citations. Previous affiliations of Michael I. Miller include University of Tennessee & Discovery Institute.
Papers
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Journal Article
Landmark matching on brain surfaces via large deformation diffeomorphisms on the sphere
TL;DR: In this article, the authors extend the diffeomorphic landmark matching to spherical geometries, which is useful in visualization since they bring the buried cortex into full view and preserve topology.
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Entropies and combinatorics of random branching processes and context-free languages
TL;DR: Context-free grammars are used to categorize the ways in which nodes branch to yield daughter nodes, thus providing an organized setting to examine the entropies for random branching processes whose realizations are trees and whose probabilities are determined by probabilities associated with the substitution rules of the grammar.
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Multi-modal MRI analysis with disease-specific spatial filtering: Initial testing to predict mild cognitive impairment patients who convert to Alzheimer's disease
Kenichi Oishi,Kazi Akhter,Michelle M. Mielke,Can Ceritoglu,Jiangyang Zhang,Hangyi Jiang,Xin Li,Laurent Younes,Michael I. Miller,Peter C.M. van Zijl,Peter C.M. van Zijl,Marilyn S. Albert,Constantine G. Lyketsos,Susumu Mori,Susumu Mori +14 more
TL;DR: The multi-modal approach with AD-specific filters led to a predictive model with an area under the receiver operating characteristic curve (AUC) of 0.93, which was better than that of a single-contrast-based approach, such as T1-based morphometry or diffusion anisotropy analysis.
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Development of a replicon-based phenotypic assay for assessing the drug susceptibilities of HCV NS3 protease genes from clinical isolates.
Xiaoping Qi,Andrew Bae,Shan Liu,Huiling Yang,Siu-Chi Sun,Jeanette Harris,William E. Delaney,Michael I. Miller,Hongmei Mo +8 more
TL;DR: A new method for efficient analysis of the drug susceptibility of the NS3 protease genes from patient isolates is described and these shuttle vectors can be used to evaluate candidate drugs and assist in the development of new drugs targeting the NS2 protease.
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3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers
Michael I. Miller,C.S. Butler +1 more
TL;DR: A fully three-dimensional (3-D) implementation of the maximum a posteriori (MAP) method for single photon emission computed tomography (SPECT) is demonstrated, and the 3-D reconstruction exhibits a major increase in resolution when compared to the generation of the series of separate 2-D slice reconstructions.