Publications (4)
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Adrian V. Dalca, Evan Yu, Polina Golland +3
Probabilistic atlas priors have been commonly used to derive adaptive and robust brain MRI segmentation algorithms. Widely-used neuroimage analysis pipelines rely heavily on these…
Prompting Large Language Models for Clinical Temporal Relation Extraction
Jianping He, Laila Rasmy, Haifang Li +5
Objective: This paper aims to prompt large language models (LLMs) for clinical temporal relation extraction (CTRE) in both few-shot and fully supervised settings. Materials and Met…
Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction
Xinyue Hu, Zenan Sun, Yi Nian +6
Background: Alzheimer's disease and related dementias (ADRD) ranks as the sixth leading cause of death in the US, underlining the importance of accurate ADRD risk prediction. While…
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Yifang Dang, Fang Li, Xinyue Hu +11
Social determinants of health (SDoH) have a significant impact on health outcomes and well-being. Addressing SDoH is the key to reducing healthcare inequalities and transforming a…