2002
DOI: 10.1016/s1631-0691(02)01459-2
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A differential geometry approach for biomedical image processing

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Cited by 9 publications
(14 citation statements)
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“…Such decomposition has been proven for a large class of Liénard systems [41][44]. The Thom-Sebastiani conjecture assumes that this result still holds by considering sufficiently regular systems.…”
Section: Methodsmentioning
confidence: 93%
See 2 more Smart Citations
“…Such decomposition has been proven for a large class of Liénard systems [41][44]. The Thom-Sebastiani conjecture assumes that this result still holds by considering sufficiently regular systems.…”
Section: Methodsmentioning
confidence: 93%
“…In the neighbourhood of a stable singularity or of a limit cycle of the corresponding velocity vector field supposed to be continuous, let us suppose that we can decompose the system into two parts, a potential and a Hamiltonian one, such as: where the residue R(x,y) tends to 0 when (x,y) tends to the stable singularity or to the limit cycle. Such decomposition has been proven for a large class of Liénard systems [41] [44] . The Thom-Sebastiani conjecture assumes that this result still holds by considering sufficiently regular systems.…”
Section: Methodsmentioning
confidence: 96%
See 1 more Smart Citation
“…The presence of positive loops is related to the observation of multiple attractors, which definitively gives to the positive loop another signification that to the negative loop, more related to the stability of the system (like in the classical Watt regulator, well known in cybernetics). In 1992, Kauffman [41] conjectured that the mean number of attractors for a Boolean genetic network with n genes and connectivity , was of order of [21]. This conjecture is now supported by real observations: we have about 30 000 genes in the human genome and about 200 different tissues, which can be considered as different attractors of the same dynamics.…”
Section: Bio-array Imaging and Genetic Regulation Network Modelingmentioning
confidence: 97%
“…This conjecture is now supported by real observations: we have about 30 000 genes in the human genome and about 200 different tissues, which can be considered as different attractors of the same dynamics. For Arabidopsis thaliana, there is different tissues (sepals, petals, stamens and carpels) [21] and for the lytic operon of the phage , , and there is (lytic and lysogenic) attractors [70]. If we consider the network ruling the gastrulation in Drosophila (cf.…”
Section: Bio-array Imaging and Genetic Regulation Network Modelingmentioning
confidence: 99%