2008 |
40 | EE | Michael W. Trosset,
Carey E. Priebe,
Youngser Park,
Michael I. Miller:
Semisupervised learning from dissimilarity data.
Computational Statistics & Data Analysis 52(10): 4643-4657 (2008) |
39 | EE | Joan Glaunes,
Anqi Qiu,
Michael I. Miller,
Laurent Younes:
Large Deformation Diffeomorphic Metric Curve Mapping.
International Journal of Computer Vision 80(3): 317-336 (2008) |
2007 |
38 | EE | Youngser Park,
Carey E. Priebe,
Kelly Botteron,
Michael I. Miller,
Nikhil R. Mohan:
Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations.
FBIT 2007: 465-469 |
37 | EE | Nayoung A. Lee,
Carey E. Priebe,
J. Tilak Ratnanather,
Michael I. Miller:
Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain.
FBIT 2007: 477-481 |
36 | EE | Anqi Qiu,
Michael I. Miller:
Cortical Hemisphere Registration Via Large Deformation Diffeomorphic Metric Curve Mapping.
MICCAI (1) 2007: 186-193 |
35 | EE | Lei Wang,
Mirza Faisal Beg,
J. Tilak Ratnanather,
C. Ceritoglu,
Laurent Younes,
J. C. Morris,
John G. Csernansky,
Michael I. Miller:
Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type.
IEEE Trans. Med. Imaging 26(4): 462-470 (2007) |
2006 |
34 | EE | Carey E. Priebe,
Michael I. Miller,
J. Tilak Ratnanather:
Segmenting magnetic resonance images via hierarchical mixture modelling.
Computational Statistics & Data Analysis 50(2): 551-567 (2006) |
33 | EE | Anqi Qiu,
Dmitri Bitouk,
Michael I. Miller:
Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator.
IEEE Trans. Med. Imaging 25(10): 1296-1306 (2006) |
2005 |
32 | EE | Jorge Jovicich,
Mirza Faisal Beg,
Steve Pieper,
Carey E. Priebe,
Michael I. Miller,
Randy L. Buckner,
Bruce Rosen:
Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing.
CBMS 2005: 288-293 |
31 | EE | Yan Cao,
Michael I. Miller,
Raimond L. Winslow,
Laurent Younes:
Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations.
ICCV 2005: 1379-1386 |
30 | EE | Ali Khan,
Elizabeth Aylward,
Patrick Barta,
Michael I. Miller,
Mirza Faisal Beg:
Semi-automated Basal Ganglia Segmentation Using Large Deformation Diffeomorphic Metric Mapping.
MICCAI 2005: 238-245 |
29 | EE | Patrick Barta,
Michael I. Miller,
Anqi Qiu:
A stochastic model for studying the laminar structure of cortex from MRI.
IEEE Trans. Med. Imaging 24(6): 728-742 (2005) |
28 | EE | Yan Cao,
Michael I. Miller,
Raimond L. Winslow,
Laurent Younes:
Large deformation diffeomorphic metric mapping of vector fields.
IEEE Trans. Med. Imaging 24(9): 1216-1230 (2005) |
27 | EE | Dmitri Bitouk,
Michael I. Miller,
Laurent Younes:
Clutter Invariant ATR.
IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 817-821 (2005) |
26 | EE | Mirza Faisal Beg,
Michael I. Miller,
Alain Trouvé,
Laurent Younes:
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms.
International Journal of Computer Vision 61(2): 139-157 (2005) |
2003 |
25 | | Michael I. Miller,
Alain Trouvé,
Laurent Younes:
The metric spaces, Euler equations, and normal geodesic image motions of computational anatomy.
ICIP (2) 2003: 635-638 |
24 | EE | Mirza Faisal Beg,
Michael I. Miller,
Alain Trouvé,
Laurent Younes:
The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets.
MICCAI (2) 2003: 918-925 |
2002 |
23 | EE | Mirza Faisal Beg,
Michael I. Miller,
Alain Trouvé,
Laurent Younes:
Computational anatomy: computing metrics on anatomical shapes.
ISBI 2002: 341-344 |
22 | EE | Avinash Jain,
Pierre Moulin,
Michael I. Miller,
Kannan Ramchandran:
Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data.
IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1153-1166 (2002) |
2001 |
21 | | Michael I. Miller,
Laurent Younes:
Group Actions, Homeomorphisms, and Matching: A General Framework.
International Journal of Computer Vision 41(1/2): 61-84 (2001) |
2000 |
20 | EE | Aaron D. Lanterman,
Ulf Grenander,
Michael I. Miller:
Bayesian Segmentation via Asymptotic Partition Functions.
IEEE Trans. Pattern Anal. Mach. Intell. 22(4): 337-347 (2000) |
19 | EE | Sarang C. Joshi,
Michael I. Miller:
Landmark matching via large deformation diffeomorphisms.
IEEE Transactions on Image Processing 9(8): 1357-1370 (2000) |
18 | | Ulf Grenander,
Anuj Srivastava,
Michael I. Miller:
Asymptotic performance analysis of Bayesian target recognition.
IEEE Transactions on Information Theory 46(4): 1658-1665 (2000) |
17 | | Matthew L. Cooper,
Michael I. Miller:
Information measures for object recognition accommodating signature variability.
IEEE Transactions on Information Theory 46(5): 1896-1907 (2000) |
16 | | Eli Shusterman,
Michael I. Miller,
Bixio Rimoldi:
Rate-distortion theory applied to automatic object recognition.
IEEE Transactions on Information Theory 46(5): 1921-1927 (2000) |
1998 |
15 | EE | N. Khaneja,
Michael I. Miller,
Ulf Grenander:
Dynamic Programming Generation of Curves on Brain Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1260-1265 (1998) |
14 | EE | Ulf Grenander,
Michael I. Miller,
Anuj Srivastava:
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR.
IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 790-802 (1998) |
1997 |
13 | | Sarang C. Joshi,
Ayananshu Banerjee,
Gary E. Christensen,
John G. Csernansky,
John W. Haller,
Michael I. Miller,
Lei E. Wang:
Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces.
IPMI 1997: 381-386 |
12 | | Gary E. Christensen,
Sarang C. Joshi,
Michael I. Miller:
Volumetric Transformation of Brain Anatomy.
IEEE Trans. Med. Imaging 16(6): 864-877 (1997) |
11 | EE | Michael I. Miller,
Ulf Grenander,
Joseph A. O'Sullivan,
Donald L. Snyder:
Automatic target recognition organized via jump-diffusion algorithms.
IEEE Transactions on Image Processing 6(1): 157-174 (1997) |
10 | | Sarang C. Joshi,
Michael I. Miller,
Ulf Grenander:
On The Geometry and Shape of Brain Sub-Manifolds.
IJPRAI 11(8): 1317-1343 (1997) |
1996 |
9 | | Gary E. Christensen,
Sarang C. Joshi,
Michael I. Miller:
Individualizing Anatomical Atlases of the Head.
VBC 1996: 343-348 |
8 | | Gary E. Christensen,
Michael I. Miller,
Michael W. Vannier,
Ulf Grenander:
Individualizing Neuroanatomic Atlases Using a Massively Parallel Computer.
IEEE Computer 29(1): 32-38 (1996) |
7 | EE | Gary E. Christensen,
Richard D. Rabbitt,
Michael I. Miller:
Deformable templates using large deformation kinematics.
IEEE Transactions on Image Processing 5(10): 1435-1447 (1996) |
1993 |
6 | | Yali Amit,
Michael I. Miller:
Large deviations for coding Markov chains and Gibbs random fields.
IEEE Transactions on Information Theory 39(1): 109-118 (1993) |
1992 |
5 | | Yali Amit,
Michael I. Miller:
Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields.
IEEE Transactions on Information Theory 38(4): 1271-1275 (1992) |
4 | | Michael I. Miller,
Joseph A. O'Sullivan:
Entropies and combinatorics of random branching processes and context-free languages.
IEEE Transactions on Information Theory 38(4): 1292-1310 (1992) |
1989 |
3 | EE | Kurt R. Smith,
Michael I. Miller:
Bayesian Inference of Regular Grammar and Markov Source Models.
NIPS 1989: 388-395 |
2 | | Donald L. Snyder,
Joseph A. O'Sullivan,
Michael I. Miller:
The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data.
IEEE Transactions on Information Theory 35(3): 536-548 (1989) |
1988 |
1 | | Daniel R. Fuhrmann,
Michael I. Miller:
On the existence of positive-definite maximum-likelihood estimates of structured covariance matrices.
IEEE Transactions on Information Theory 34(4): 722-729 (1988) |