Rodrigo Santa Cruz | DeepAI

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∙ 06/14/2022

CorticalFlow^++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

The problem of Cortical Surface Reconstruction from magnetic resonance i...

14 Rodrigo Santa Cruz, et al. ∙

∙ 06/06/2022

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction

In this paper we introduce CorticalFlow, a new geometric deep-learning m...

8 Leo Lebrat, et al. ∙

∙ 04/29/2021

MongeNet: Efficient Sampler for Geometric Deep Learning

Recent advances in geometric deep-learning introduce complex computation...

10 Leo Lebrat, et al. ∙

∙ 10/22/2020

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction

The study of neurodegenerative diseases relies on the reconstruction and...

17 Rodrigo Santa Cruz, et al. ∙

∙ 09/07/2020

Going deeper with brain morphometry using neural networks

Brain morphometry from magnetic resonance imaging (MRI) is a consolidate...

2 Rodrigo Santa Cruz, et al. ∙

∙ 04/28/2020

Inferring Temporal Compositions of Actions Using Probabilistic Automata

This paper presents a framework to recognize temporal compositions of at...

6 Rodrigo Santa Cruz, et al. ∙

∙ 01/26/2018

Neural Algebra of Classifiers

The world is fundamentally compositional, so it is natural to think of v...

0 Rodrigo Santa Cruz, et al. ∙

∙ 04/10/2017

DeepPermNet: Visual Permutation Learning

We present a principled approach to uncover the structure of visual data...

0 Rodrigo Santa Cruz, et al. ∙

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