AI-CAD

“A Novel Ontology-guided Attribute Partitioning Ensemble Learning for Early Prediction of Cognitive Deficit using Quantitative Structural MRI in Very Preterm Infants”, Zhiyuan Li, Hailong Li, Jonathan R. Dillman, Adebayo Braimah, Nehal A. Parikh, Lili He, ISMRM 2022
“Hypergraph learning-based convolutional neural network for classification of brain functional connectome”, Junqi Wang, Hailong Li, Gang Qu, Jonathan R. Dillman, Nehal A. Parikh, Lili He, ISMRM 2022
“Frontolimbic White Matter Impairment in Children Born Preterm: The ABCD study”, Iris Y. Hung, Hailong Li, and Lili He, OHBM 2022
“A Novel Self-Supervised Learning Approach to Enhance Deep Learning Classification of Brain Structure MRI Radiomic Data”, Zhiyuan Li, Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, Lili He, OHBM 2022

“DeepLiverNet 2.0: a deep transformer model for liver stiffness classification using T2-weighted MRI data”, Redha Ali, Hailong Li, Huixian Zhang, Zhaochong Yu, Nehal Parikh, Jonathan R. Dillman and Lili He, accepted by RSNA 2022
“A Novel Collaborative Self-Supervised Transformer Neural Network for Radiomic Data Classification”, Zhiyuan Li, Hailong Li, Jonathan R. Dillman, Nehal Parikh, and Lili He, accepted by RSNA 2022

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