2 citations · 4 across the 14 of their papers we have counts for
17 papers
Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography
Iker Moran-Cavero, Monica Hernandez, Elvira Mayordomo +4
Retinal layer segmentation in Optical Coherence Tomography (OCT) is a fundamental step for extracting quantitative biomarkers of retinal structure. Indeed, there is a growing inter…
A point to set principle for finite-state dimension
Elvira Mayordomo
Effective dimension has proven very useful in geometric measure theory through the point-to-set principle \cite{LuLu18}\ that characterizes Hausdorff dimension by relativized effec…
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
The purpose of this work is to contribute to the state of the art of deep-learning methods for diffeomorphic registration. We propose an adversarial learning LDDMM method for pairs…
Dimension and the Structure of Complexity Classes
Jack H. Lutz, Neil Lutz, Elvira Mayordomo
We prove three results on the dimension structure of complexity classes. 1. The Point-to-Set Principle, which has recently been used to prove several new theorems in fractal geomet…
Algorithmic Fractal Dimensions in Geometric Measure Theory
Jack H. Lutz, Elvira Mayordomo
The development of algorithmic fractal dimensions in this century has had many fruitful interactions with geometric measure theory, especially fractal geometry in Euclidean spaces.…
Extending the Reach of the Point-to-Set Principle
Jack H. Lutz, Neil Lutz, Elvira Mayordomo
The point-to-set principle of J. Lutz and N. Lutz (2018) has recently enabled the theory of computing to be used to answer open questions about fractal geometry in Euclidean spaces…