Marsland, Stephen - School of Engineering and Advanced Technology, Massey University

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Marsland, Stephen - School of Engineering and Advanced Technology, Massey University

Groupwise Non-Rigid Registration using Polyharmonic Clamped-Plate Splines
A Minimum Description Length Objective Function for Groupwise Non-Rigid Image Registration
Constructing an atlas for the diffeomorphism group of a compact manifold with boundary,
Constructing Diffeomorphic Representations for the Groupwise Analysis of Non-Rigid Registrations of
For personal use. Only reproduce with permission from The Lancet. 1238 THE LANCET Vol 362 October 11, 2003 www.thelancet.com
Constructing Data-Driven Optimal Representations for Iterative Pairwise
A Non-Euclidean Metric for the Classification of Variations in Medical Images
Measuring Geodesic Distances on the Space of Bounded Diffeomorphisms
0 20 40 60 80 100 120 140 160 SynapticEfficacy
On-line Novelty Detection With Application to Mobile Robotics
ON-LINE NOVELTY DETECTION THROUGH SELF-ORGANISATION,
SIAM J. APPLIED DYNAMICAL SYSTEMS c 2006 Society for Industrial and Applied Mathematics Vol. 5, No. 4, pp. 726758
Clinical Quality Needs Complex Adaptive Systems and Machine Learning Stephen Marslanda
A Minimum Description Length Objective Function for Groupwise Non-Rigid Image
2002 Special Issue A self-organising network that grows when required
Groupwise Non-Rigid Registration of Medical Images: The Minimum Description Length Approach
N-Particle dynamics of the Euler equations for planar diffeomorphisms
Clamped-Plate Splines and the Optimal Flow of Bounded Diffeomorphisms
A Unified Information-Theoretic Approach to the Correspondence Problem in Image Registration
Groupwise Non-Rigid Registration: The Minimum Description Length Approach
A Tale of Two Filters -On-line Novelty Detection Paul A.Crook1
Groupwise and Local Analysis of Image Warps Carole Twining and Stephen Marsland
A Hamiltonian Particle Method for Diffeomorphic Image Registration
Robotics and Autonomous Systems 51 (2005) 191206 On-line novelty detection for autonomous mobile robots
Environment-Specific Novelty Detection Stephen Marsland