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05/16/2023
QB4AIRA: A Question Bank for AI Risk Assessment
The rapid advancement of Artificial Intelligence (AI), exemplified by Ch...
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12/07/2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
Convolutional Neural Networks (CNNs) have demonstrated superiority in le...
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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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03/24/2022
Learning Dense Correspondence from Synthetic Environments
Estimation of human shape and pose from a single image is a challenging ...
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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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02/15/2020
