15 citations · 37 across the 4 of their papers we have counts for
4 papers
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
Zhixiu Lu, Hailong Li, Nehal A. Parikh +2
The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging anal…
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
Zhiyuan Li, Hailong Li, Anca L. Ralescu +5
The integration of different imaging modalities, such as structural, diffusion tensor, and functional magnetic resonance imaging, with deep learning models has yielded promising ou…
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
Zhiyuan Li, Hailong Li, Anca L. Ralescu +3
The computer-aided disease diagnosis from radiomic data is important in many medical applications. However, developing such a technique relies on annotating radiological images, wh…
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants
Zhiyuan Li, Hailong Li, Adebayo Braimah +3
Structural magnetic resonance imaging studies have shown that brain anatomical abnormalities are associated with cognitive deficits in preterm infants. Brain maturation and geometr…