6 citations · 10 across the 8 of their papers we have counts for
8 papers
RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
Shuhao Chen, Weisen Jiang, Changmiao Wang +4
Inpatient medication recommendation requires clinicians to repeatedly select specific medications, doses, and routes as a patient's condition evolves. Existing benchmarks formulate…
Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference
Zhiceng Shi, Changmiao Wang, Jun Wan +1
While spatial transcriptomics (ST) has advanced our understanding of gene expression in tissue context, its high experimental cost limits its large-scale application. Predicting ST…
Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach
Bo Liu, Shao-Bo Lin, Changmiao Wang +1
Time series forecasting enables early warning and has driven asset performance management from traditional planned maintenance to predictive maintenance. However, the lack of inter…
GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis
Xuhao Shan, Ruiquan Ge, Jikui Liu +7
In the field of multimodal medical data analysis, leveraging diverse types of data and understanding their hidden relationships continues to be a research focus. The main challenge…
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction
Xiangyang Hu, Xiangyu Shen, Yifei Sun +8
Alzheimer's disease (AD) is a common neurodegenerative disease among the elderly. Early prediction and timely intervention of its prodromal stage, mild cognitive impairment (MCI),…
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models
Yifei Sun, Zhanghao Chen, Hao Zheng +7
Lung diseases represent a significant global health challenge, with Chest X-Ray (CXR) being a key diagnostic tool due to its accessibility and affordability. Nonetheless, the detec…
stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement
Shuailin Xue, Fangfang Zhu, Changmiao Wang +1
The spatial location of cells within tissues and organs is crucial for the manifestation of their specific functions.Spatial transcriptomics technology enables comprehensive measur…
Multimodal contrastive learning for spatial gene expression prediction using histology images
Wenwen Min, Zhiceng Shi, Jun Zhang +2
In recent years, the advent of spatial transcriptomics (ST) technology has unlocked unprecedented opportunities for delving into the complexities of gene expression patterns within…