2008 | ||
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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) |