Sion An

Orcid: 0000-0002-3800-7158

According to our database1, Sion An authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Video domain adaptation for semantic segmentation using perceptual consistency matching.
Neural Networks, 2024

Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features.
Expert Syst. Appl., 2024

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty-aware semi-supervised few shot segmentation.
Pattern Recognit., May, 2023

2022
Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device.
IEEE Trans. Haptics, 2022

2021
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs.
CoRR, 2021

Low-Dose CT Denoising Using Pseudo-CT Image Pairs.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020


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