15 citations · 31 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 9 cited
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…
eess.IV2023★ 15 cited
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…
cs.LG2022★ 7 cited
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…