2 citations · 5 across the 5 of their papers we have counts for
6 papers
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
Xueyao Wang, Xiuding Cai, Honglin Shang +2
Early warning of intraoperative adverse events plays a vital role in reducing surgical risk and improving patient safety. While deep learning has shown promise in predicting the si…
VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care
Xiuding Cai, Xueyao Wang, Sen Wang +3
Intraoperative monitoring and prediction of vital signs are critical for ensuring patient safety and improving surgical outcomes. Despite recent advances in deep learning models fo…
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai, Xueyao Wang, Yaoyao Zhu +1
In recent years, Transformers have become the de-facto architecture for long-term time series forecasting (LTSF), yet they face challenges associated with the self-attention mechan…
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction
Linjie Fu, Xia Li, Xiuding Cai +4
Radiation therapy is crucial in cancer treatment. Experienced experts typically iteratively generate high-quality dose distribution maps, forming the basis for excellent radiation…
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu, Xiuding Cai, Xueyao Wang +3
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical image classification. Mainstream data augmentation (DA) methods are usuall…
SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector
Linjie Fu, Xia Li, Xiuding Cai +4
Radiation therapy serves as an effective and standard method for cancer treatment. Excellent radiation therapy plans always rely on high-quality dose distribution maps obtained thr…