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Xianzhen Tan

2 accepted papers

2025

A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

ICASSP 2025accepted

Segmentation of lesions in Acute Ischemic Stroke (AIS) patients on Non-Contrast CT (NCCT) scans is pivotal for expedited diagnosis and effective treatment planning. The subtle and 4.5-hour golden treatment window characteristic of AIS lesions on NCCT makes fully automated segmentation more preferred…

Cited by 0SourceScholar
2024

SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation

IJCAI 2024poster

Spatial time series imputation is of great importance to various real-world applications. As the state-of-the-art generative models, diffusion models (e.g. CSDI) have outperformed statistical and autoregressive based models in time series imputation. However, diffusion models may introduce unstable…

Cited by 1SourcePDFScholar