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Results 1-10 of 171 (Search time: 0.003 seconds).

1

A self-referencing level-set method for image reconstruction from sparse Fourier samples

Ye, Jong Chulresearcher; Bresler, Y; Moulin, P, IEEE Workshop on variational and level set methods in computer vision 2001, 2001-07-13

2

A self-referencing level-set method for image reconstruction from sparse Fourier samples

Ye, Jong Chulresearcher; Bresler, Y; Bresler, P, IEEE International Conf. on Image Processing (ICIP) 2001, 2001-10-07

3

Lost motion vector recovery algorithm

Ye, Jong Chulresearcher; Park, CS; Lee, SW, in Proc. IEEE International Symposium on Circuits and Systems (ISCAS) 1994, 1994-05

4

Unified parameter estimation algorithm for diffusion imaging using the optical search

Ye, Jong Chulresearcher; Webb, KJ; Millane, RP; Downar, TJ, 98 OSA Annual meeting, 1998-10-04

5

A localized relaxation algorithm for Bayesian diffusion tomography using the generalized gaussian markov random field prior model

Ye, Jong Chulresearcher; Bouman, A; Webb, KJ, 98 OSA Annual meeging, 1998-10-04

6

The effect of the grad(D) term in optical diffusion imaging

Ye, Jong Chulresearcher; Millane, P; Webb, KJ; Downar, TJ, OSA Signal Recovery and Synthesis Topical Meeting 1998, 1998-07-09

7

Optimal parameter updating for optical Imaging

Ye, Jong Chulresearcher; Webb, KJ; Millane, RP; Downar, TJ, IEEE international conf. on Image Processing (ICIP) 1998, 1998-10-04

8

Efficient algorithms for Bayesian optical diffusion imaging

Ye, Jong Chulresearcher; Millane, RP; Bouman, CA; Webb, KJ, in Proc. Image and Vison computing New Zealand1999, pp.223 - 228, 1999

9

Multigrid bayesian method for optical diffusion tomography

Ye, Jong Chulresearcher; Millane, RP; Bouman, CA; Webb, KJ, in Proc. SPIE Annual meeting 2000 (invited paper), 2000-07-30

10

Optical diffusion imaging using nonlinear multigrid optimization

Ye, Jong Chulresearcher; Webb, KJ; Bouman, CA; Millane, RP, in Conference on lasers and Electrooptics (CLEO) 2000, 2000-09-10

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