Home   ·   Research   ·   Publications   ·   Content

21. Zhuang, K., et al., Connectome-based evidence for creative thinking as an emergent property of ordinary cognitive operations. Neuroimage, 2021. 227. Connectome-based evidence for creative thinking as an emergent property of ordinary cognitive operations.pdf

22. Li, Y., et al., Consistent Alterations of Human Fecal Microbes after Transplantation into Germ-free Mice. Genomics, proteomics & bioinformatics, 2021. Consistent Alterations of Human Fecal Microbes after Transplantation into Germ-free Mice..pdf

23. Cheng, G., H. Ji, and L. He, Correcting and reweighting false label masks in brain tumor segmentation. Medical Physics, 2021. 48(1): p. 169-177. Correcting and reweighting false label masks in brain tumor segmentation.pdf

24. Li, T., X. Zhao, and L. Li, Co-VAE: Drug-target binding affinity prediction by co-regularized variational autoencoders. IEEE transactions on pattern analysis and machine intelligence, 2021. PP. Co-VAE_Drug-target_binding_affinity_prediction_by_co-regularized_variational_autoencoders.pdf

25. Vatansever, D., S. Wang, and B.J. Sahakian, Covid-19 and promising solutions to combat symptoms of stress, anxiety and depression. Neuropsychopharmacology, 2021. 46(1): p. 217-218. Covid-19 and promising solutions to combat symptoms of stress, anxiety and depression.pdf

26. Xu, W., et al., Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents. Brain Imaging and Behavior, 2021. 15(4): p. 1855-1867. Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents.pdf

27. Zhang, H., et al., Deep learning based multiplexed sensitivity-encoding (DL-MUSE) for high-resolution multi-shot DWI. Neuroimage, 2021. 244. Deep learning based multiplexed sensitivity-encoding (DL-MUSE) for high-resolution multi-shot DWI.pdf

28. Zhao, X. and X.-M. Zhao, Deep learning of brain magnetic resonance images: A brief review. Methods, 2021. 192: p. 131-140. Deep learning of brain magnetic resonance images  A brief review.pdf

29. Wang, C., et al., Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA. Journal of Cerebral Blood Flow and Metabolism, 2021. 41(11): p. 3028-3038. Deep Learning based Identification of Acute Ischemic Core and Deficit from Non-contrast CT and CTA.pdf

30. Zhao, X.-M. and F.-X. Wu, Deep networks and network representation in bioinformatics. Methods (San Diego, Calif.), 2021. Deep networks and network representation in bioinformatics.pdf

31. You, R., et al., DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction. Bioinformatics, 2021. 37: p. I262-I271. DeepGraphGO- graph neural network for large-scale, multispecies protein function prediction.pdf

32. Liu, Y., et al., DeepTL-Ubi: A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species. Methods, 2021. 192: p. 103-111. DeepTL-Ubi A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species.pdf

33. Zhou, W., et al., The development of brain functional connectome during text reading. Developmental Cognitive Neuroscience, 2021. 48. The development of brain functional connectome during text reading.pdf

34. Hsu, C.-C.H., et al., Differential Age Trajectories of White Matter Changes Between Sexes Correlate with Cognitive Performances. Brain connectivity, 2021. 11(9): p. 759-771. Differential Age Trajectories of White Matter Changes Between Sexes Correlate with Cognitive Performances.pdf

35. Chang, X., et al., Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 2021. 109. Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings.pdf

36. Kang, X. and C. Li, A Dimension Reduction Approach for Energy Landscape: Identifying Intermediate States in Metabolism-EMT Network. Advanced Science, 2021. 8(10). A Dimension Reduction Approach for Energy Landscape Identifying Intermediate States in Metabolism-EMT Network.pdf

37. Wang, L., et al., Dopamine depletion and subcortical dysfunction disrupt cortical synchronization and metastability affecting cognitive function in Parkinson's disease. Human Brain Mapping, 2021.      

38. Yu, L., et al., Dynamic community discovery via common subspace projection. New Journal of Physics, 2021. 23(3). Dynamic community discovery via common subspace projection.pdf

39. Du, M., et al., A dynamics model of neuron-astrocyte network accounting for febrile seizures. Cognitive Neurodynamics, 2021. A dynamics model of neuron-astrocyte network accounting for febrile seizures.pdf

40. Sun, A. and H. Wang, Editorial for "Non-Invasive Assessment of Damping of Blood Flow Velocity Pulsatility in Cerebral Arteries with 7 T MRI". Journal of Magnetic Resonance Imaging, 2021.  Editorial for Non-Invasive Assessment of Damping of Blood Flow Velocity Pulsatility in Cerebral Arteries with 7 T MRI.pdf

上一页 [1] [2] [3] [4] [5] [6] [7] 下一页