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09/06/2023
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
Multi-sequence magnetic resonance imaging (MRI) has found wide applicati...
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06/07/2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
Graph-based semi-supervised node classification has been shown to become...
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04/15/2023
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph
Real-world graphs are constantly evolving, which demands updates of the ...
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03/24/2023
LONGNN: Spectral GNNs with Learnable Orthonormal Basis
In recent years, a plethora of spectral graph neural networks (GNN) meth...
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12/12/2022
Efficient Bayesian Uncertainty Estimation for nnU-Net
The self-configuring nnU-Net has achieved leading performance in a large...
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01/27/2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification
Graph-based semi-supervised learning, which can exploit the connectivity...
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04/12/2021
Deep Recursive Embedding for High-Dimensional Data
t-distributed stochastic neighbor embedding (t-SNE) is a well-establishe...
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10/30/2019
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Convolutional neural network (CNN), in particular the Unet, is a powerfu...
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10/20/2018