The Imaging of a Magnetic Source - Biological Imaging and Sensing - page 201

39. J.C. Mosher, R.M. Leahy: IEEE Trans. Biomed. Eng. 45 , 1342 (1998)
40. K. Uutela, M. Hamalainen, R. Salmelin: IEEE Trans. Biomed. Eng. 45 , 716
(1998)
41. D.M. Schmidt, J.S. George, C.C. Wood: Hum. Brain Mapp. 7 , 195 (1999)
42. C.C. Wood, J.S. George, P.S. Lewis, D.M. Ranken, L. Heller: Society for Neu-
roscience, Abstracts 16 , 1241 (1990)
43. M. Scherg, P. Berg: Brain Topogr. 4 , 143 (1991)
44. J.S. George, C.J. Aine, J.C. Mosher, D.M. Schmidt, D.M. Ranken, H.A. Schlitt,
C.C. Wood, J.D. Lewine, J.A. Sanders, J.W. Belliveau: J. Clin. Neurophysiol.
12 , 406 (1995)
45. D.M. Schmidt, J.S. George, D.M. Ranken, C.C. Wood: “Spatio-temporal
Bayesian inference for MEG/EEG”, in: Biomag 2000 , 12th International Con-
ference on Biomagnetism at Helsinki, Finland, August 13-17, 2000, p. 7
46. C. Bertrand, M. Ohmi, R. Suzuki, Y. Haruta, M. Ochiai, H. Kado: “Resolution
of the MEG inverse problem by Markov Chain Monte Carlo methods: Algorithm
comparison and 3-dimensional visualization tools”, in: Biomag 2000 , 12th In-
ternational Conference on Biomagnetism at Helsinki, Finland, August 13-17,
2000, p. 171
47. C. Bertrand, Y. Hamada, H. Kado: “MRI prior computation and Parallel Tem-
pering algorithm for a probabilistic resolution of the MEG/EEG inverse pro-
blem”, Brain Topgr. 4 , no. 1, 2001
48. C. Bertrand, M. Ohmi, R. Suzuki, H. Kado: “Resolution of the MEG inverse
problem by Markov Chain Monte Carlo methods: Parallel tempering and re-
versible jump algorithms”, in: Proceedings of the Second Annual Meeting of the
Japan Human Brain Mapping Society , Tokyo, Japan, 2000, p. 109.
49. C. Bertrand, M. Ohmi, R. Suzuki, H. Kado: “A probabilistic solution to the
MEG inverse problem via MCMC methods: The reversible jump and parallel
tempering algorithms”, to appear in the IEEE Trans. Biomed. Eng.
50. J.C.Mosher,R.M.Leahy,P.S.Lewis:IEEETrans.Biomed.Eng. 46 , 245 (1999)
51. C.J. Geyer: “Markov chain Monte Carlo maximum likelihood”, in: Computing
Science and Statistics: Proceedings of the 23rd Symposium on the Interface,
Fairfax: Interface Foundation , ed. by E. M. Keramigas (1991), pp. 156-163
52. N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, E. Teller:
J. Chem. Phys. 21 , 1087 (1953)
53. P.J. Green: Biometrika 82 , 711 (1995)
54. J. Gerson, V.A. Vardenas, G. Fein: Electroenceph. Clin. Neurophysiol. 92 , 161
(1994)
55. H. Haneishi, N. Ohyama, K. Sekihara, T. Honda: IEEE Trans. Biomed. Eng.
41 , 1004 (1994)
56. C. Bertrand, Y. Hamada, H. Kado: “Probabilistic current mapping of somato-
sensory fields”, in ISBET2001, 12th World Congress of the International Society
for Brain Electromagnetic Topography , pp. 1-4
57. T. Katila, P. Karp:“Magnetocardiology: Morphology and multipole presentati-
ons”, in: Biomagnetism: An Interdisciplinary Approach , ed. by S.J. Williamson,
G.L. Onmani, L. Kaufman, and I. Modena (Plenum Press, New York and Lon-
don, 1983)
58. S. Kirkpatrick, C.D. Gelatt Jr. M.P. Vecchi: “Optimization by simulated an-
nealing”, Science 220 , 671 (1983)