Yaoru Luo
Orcid: 0000-0002-6547-1634
According to our database1,
Yaoru Luo
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
Representing Topological Self-similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Enhancing Robustness of Deep Networks Against Noisy Labels Based on A Two-Phase Formulation of Their Learning Behavior.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks.
CoRR, 2022
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks.
Dataset, June, 2021
Advancing biological super-resolution microscopy through deep learning: a brief review.
CoRR, 2021
Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images.
CoRR, 2021
Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2019
Context Embedding Based on Bi-LSTM in Semi-Supervised Biomedical Word Sense Disambiguation.
IEEE Access, 2019