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 ArticleDOI
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms
TL;DR: The Euler-Lagrange equations characterizing the minimizing vector fields vt, t∈[0, 1] assuming sufficient smoothness of the norm to guarantee existence of solutions in the space of diffeomorphisms are derived.
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Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Susumu Mori,Susumu Mori,Kenichi Oishi,Hangyi Jiang,Li Jiang,Xin Li,Kazi Akhter,Kegang Hua,Andreia V. Faria,Asif Mahmood,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa Neto,Alan C. Evans,Jiangyang Zhang,Hao Huang,Michael I. Miller,Peter C.M. van Zijl,John C. Mazziotta +19 more
TL;DR: White matter-specific atlases in stereotaxic coordinates are introduced and showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations.
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Deformable templates using large deformation kinematics
TL;DR: Application of the method to intersubject registration of neuroanatomical structures illustrates the ability to account for local anatomical variability.
Journal ArticleDOI
Pattern Separation in the Human Hippocampal CA3 and Dentate Gyrus
TL;DR: In this paper, the authors used high-resolution (1.5-millimeter isotropic voxels) functional magnetic resonance imaging to measure brain activity during incidental memory encoding.
Book
Random Point Processes in Time and Space
TL;DR: This senior graduate level textbook is the second revised edition of the textbook "Random Point Processes", written by D.L.Snyder and published in 1975, reflecting the increase that has taken place in the use of point-process models for the description of data from which images of objects of interest are formed in a wide variety of scientific and engineering disciplines.