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Frontiers in Neuroscience|February 29, 2024
Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike codingYoungeun Kim, Adar Kahana, Ruokai Yin, et al.Proceedings of the National Academy of Sciences of the United States of America|March 25, 2021
Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and diseaseShengze Cai, He Li, Fuyin Zheng, et al.Biophysical Journal|August 27, 2022
Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19Elahe Javadi, He Li, Ander Dorken Gallastegi, et al.Plos Computational Biology|October 20, 2017
A deep convolutional neural network for classification of red blood cells in sickle cell anemiaMengjia Xu, Dimitrios P Papageorgiou, Sabia Z Abidi, et al.Nature Communications|June 2, 2026
Automatic selection of the best neural architecture for time series forecastingQianying Cao, Shanqing Liu, Alan John Varghese, et al.The Journal of Chemical Physics|August 3, 2018
Nature of intrinsic uncertainties in equilibrium molecular dynamics estimation of shear viscosity for simple and complex fluidsKang-Sahn Kim, Myung Hoon Han, Changho Kim, et al.Biophysical Journal|May 25, 2017
OpenRBC: A Fast Simulator of Red Blood Cells at Protein ResolutionYu-Hang Tang, Lu Lu, He Li, et al.Journal of the Royal Society, Interface|August 31, 2022
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysmsSomdatta Goswami, David S Li, Bruno V Rego, et al.Biorxiv : the Preprint Server for Biology|July 3, 2023
A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell diseaseGuansheng Li, Yuhao Qiang, He Li, et al.Plos Computational Biology|December 13, 2023
A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell diseaseGuansheng Li, Yuhao Qiang, He Li, et al.Pageof 18