Xin You
Orcid: 0009-0008-1973-2101Affiliations:
- Shanghai Jiao Tong University, Shanghai, China
According to our database1,
Xin You authored at least 16 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting.
CoRR, March, 2026
MMNavAgent: Multi-Magnification WSI Navigation Agent for Clinically Consistent Whole-Slide Analysis.
CoRR, March, 2026
Medical Image Anal., 2026
2025
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation.
IEEE J. Biomed. Health Informatics, November, 2025
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting.
CoRR, July, 2025
PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2025
IEEE Trans. Medical Imaging, February, 2025
From pixels to pathology: Restoration diffusion for diagnostic-consistent virtual IHC.
Comput. Biol. Medicine, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
FB-Diff: Fourier Basis-Guided Diffusion for Temporal Interpolation of 4D Medical Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.
CoRR, 2024
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation.
CoRR, 2024
2023
Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
EG-Trans3DUNet: A Single-Staged Transformer-Based Model for Accurate Vertebrae Segmentation from Spinal Ct Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022