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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...
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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...
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04/29/2021
MongeNet: Efficient Sampler for Geometric Deep Learning
Recent advances in geometric deep-learning introduce complex computation...
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10/22/2020
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
The study of neurodegenerative diseases relies on the reconstruction and...
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09/07/2020
Going deeper with brain morphometry using neural networks
Brain morphometry from magnetic resonance imaging (MRI) is a consolidate...
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04/28/2020
Inferring Temporal Compositions of Actions Using Probabilistic Automata
This paper presents a framework to recognize temporal compositions of at...
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01/26/2018
Neural Algebra of Classifiers
The world is fundamentally compositional, so it is natural to think of v...
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04/10/2017