research
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11/24/2021
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration
The purpose of this work is to contribute to the state of the art of dee...
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06/10/2020
Combining the band-limited parameterization and Semi-Lagrangian Runge–Kutta integration for efficient PDE-constrained LDDMM
The family of PDE-constrained LDDMM methods is emerging as a particularl...
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07/27/2018
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization
The class of non-rigid registration methods proposed in the framework of...
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07/13/2018
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields
PDE-constrained Large Deformation Diffeomorphic Metric Mapping is a part...
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07/11/2018