Hongming Li
Merck & Co., Inc., Rahway, NJ, USA (United States)(US)
Publications by Year
Research Areas
Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Medical Image Segmentation Techniques
Most-Cited Works
- → Individual Variation in Functional Topography of Association Networks in Youth(2020)294 cited
- → A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data(2019)260 cited
- → Non-rigid image registration using self-supervised fully convolutional networks without training data(2018)179 cited
- → Enantioselective Synthesis of Hemiaminals via Pd-Catalyzed C–N Coupling with Chiral Bisphosphine Mono-oxides(2015)117 cited
- → Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks(2019)115 cited
- → Total Synthesis of Kinamycins C, F, and J(2007)92 cited
- → Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks(2018)88 cited
- → Large-scale sparse functional networks from resting state fMRI(2017)88 cited
- → The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview(2020)87 cited
- → Dissociable multi-scale patterns of development in personalized brain networks(2022)81 cited