Nicolas Rougon - researchr alias

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Viewing Publication 1 - 11 from 11

2017

Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context CriterionHélène Urien, Irène Buvat, Nicolas Rougon, Michaël Soussan, Isabelle Bloch. ismm 2017: 455-466 [doi]

2016

3D PET-driven multi-phase segmentation of meningiomas in MRIH. Urien, Irène Buvat, Nicolas Rougon, S. Boughdad, I. Block. isbi 2016: 407-410 [doi]

2011

Multi-feature information-theoretic image registration: Application to groupwise registration of perfusion MRI examsS. Hamrouni, Nicolas Rougon, Françoise J. Prêteux. isbi 2011: 574-577 [doi]

Multi-feature Statistical Nonrigid Registration Using High-Dimensional Generalized Information MeasuresSameh Hamrouni, Nicolas Rougon, Françoise J. Prêteux. miccai 2011: 524-531 [doi]

Groupwise registration of cardiac perfusion MRI sequences using normalized mutual information in high dimensionSameh Hamrouni, Nicolas Rougon, Françoise J. Prêteux. miip 2011: 796208 [doi]

2005

A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measuresNicolas Rougon, Caroline Petitjean, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier. mia, 9(4):353-375, 2005. [doi]

2003

1998

Directional adaptive deformable models for segmentationNicolas Rougon, Françoise J. Prêteux. jei, 7(1):231-256, 1998. [doi]

1996

Understanding the structure of diffusive scale-spacesNicolas Rougon, Françoise J. Prêteux. icpr 1996: 844-848 [doi]

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