Li, Hui

Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

Zhu, Y., Li, H., Guo, W., Drukker, K., Lan, L., Giger, M. L., & Ji, Y. (2015) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 165

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Guo, W., Li, H., Zhu, Y., Lan, L., Yang, S., Drukker, K., Morris, E. A., Burnside, E. S., Whitman, G. J., Giger, M. L., et al. (2015) · Journal of Medical Imaging

Radiomics and Machine Learning in Medical ImagingBreast Cancer Treatment Studies

Cited by 148

Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage

Burnside, E. S., Drukker, K., Li, H., Bonaccio, E., Zuley, M., Ganott, M., Net, J. M., Sutton, E. J., Brandt, K. R., Whitman, G. J., et al. (2016) · Cancer

MRI in cancer diagnosisRadiomics and Machine Learning in Medical Imaging

Cited by 71

Dehydroepiandrosterone (DHEA) reduces neuronal injury in a rat model of global cerebral ischemia.

Li, H., Klein, G., Sun, P., & Buchan, A. M. (2001) · Brain Research

Neurological Disease Mechanisms and TreatmentsTraumatic Brain Injury and Neurovascular Disturbances

Cited by 70

On Multi-Relational Link Prediction with Bilinear Models

Wang, Y., Gemulla, R., & Li, H. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 65

Short-Term Internet-Search Training Is Associated with Increased Fractional Anisotropy in the Superior Longitudinal Fasciculus in the Parietal Lobe

Dong, G., Li, H., & Potenza, M. N. (2017) · Frontiers in Neuroscience

Advanced Neuroimaging Techniques and ApplicationsCognitive Abilities and Testing

Cited by 27