41. Wang, Q., Editorial for "Reliability and Sensitivity to Longitudinal CBF Changes in Steno-Occlusive Diseases: ASL versus I-123-IMP-SPECT". Journal of Magnetic Resonance Imaging, 2021. Editorial for Reliability and Sensitivity to Longitudinal CBF Changes in Steno-Occlusive Diseases ASL versus I-123-IMP-SPECT.pdf

42. Lu, Y., et al., Effects of exercise programs on neuroelectric dynamics in drug addiction. Cognitive Neurodynamics, 2021. 15(1): p. 27-42. Effects of exercise programs on neuroelectric dynamics in drug addiction.pdf

43. Guo, X., et al., An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT. Physics in Medicine and Biology, 2021. 66(24). An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT.pdf

44. Voon, V., Exploring the Potential of Reinforcement Learning as a Clinical Biomarker in Premanifest Huntington's Disease. Biological Psychiatry-Cognitive Neuroscience and Neuroimaging, 2021. 6(9): p. 854-855.

45. Huang, C.-C., et al., An extended Human Connectome Project multimodal parcellation atlas of the human cortex and subcortical areas. Brain Structure & Function, 2021. An extended Human Connectome Project multimodal parcellation atlas of the human cortex and subcortical areas.pdf

46. Huang, C.-C., et al., Extensive Cortical Connectivity of the Human Hippocampal Memory System: Beyond the "What" and "Where" Dual Stream Model. Cerebral Cortex, 2021. 31(10): p. 4652-4669. Extensive Cortical Connectivity of the Human Hippocampal Memory System- Beyond the What and Where Dual Stream Model.pdf

47. Lei, Y., et al., Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI. Oxidative Medicine and Cellular Longevity, 2021. 2021. Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI.pdf

48. Huang, X., et al., Fe3O4@M nanoparticles for MRI-targeted detection in the early lesions of atherosclerosis. Nanomedicine-Nanotechnology Biology and Medicine, 2021. 33. Fe3O4@M nanoparticles for MRI-targeted detection in the early lesions of atherosclerosis.pdf

49. Zheng, R., et al., Feasibility of automatic detection of small hepatocellular carcinoma (<= 2 cm) in cirrhotic liver based on pattern matching and deep learning. Physics in Medicine and Biology, 2021. 66(8). Feasibility of automatic detection of small hepatocellular carcinoma in cirrhotic liver based on pattern matching and deep learning.pdf

50. He, L., et al., Functional Connectome Prediction of Anxiety Related to the COVID-19 Pandemic. American Journal of Psychiatry, 2021. 178(6): p. 530-540. Functional Connectome Prediction of Anxiety Related to the COVID-19 Pandemic.pdf

51. Du, J., et al., The genetic determinants of language network dysconnectivity in drug-naive early stage schizophrenia. Npj Schizophrenia, 2021. 7(1). The genetic determinants of language network dysconnectivity in drug-naive early stage schizophrenia.pdf

52. Dong, G., et al., A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank. Genome Medicine, 2021. 13(1). A Global Overview of Genetically Interpretable Multimobidities among Common Diseases in the UK Biobank.pdf

53. Xu, J., et al., Global urbanicity is associated with brain and behaviour in young people. Nature Human Behaviour, 2021.

54. Dai, S., et al., GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF. Ieee-Acm Transactions on Computational Biology and Bioinformatics, 2021. 18(1): p. 205-215. GrantExtractor Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF.pdf

55. Liu, L., H. Mamitsuka, and S. Zhu, HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations. Bioinformatics (Oxford, England), 2021. HPODNets deep graph convolutional networks for predicting human protein-phenotype associations..pdf

56. Liu, L., H. Mamitsuka, and S. Zhu, HPOFiller: identifying missing protein-phenotype associations by graph convolutional network. Bioinformatics (Oxford, England), 2021. HPOFiller- identifying missing protein-phenotype associations by graph convolutional network.pdf

57. Zhang, Y., et al., The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cerebral Cortex, 2021. 31(6): p. 3021-3033. The Human Brain Is Best Described as Being on a Female Male Continuum Evidence from a Neuroimaging Connectivity Study.pdf

58. Zhou, Y. and Y. Yu, Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment. Communications Biology, 2021. 4(1). Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment.pdf

59. Zhao, X., et al., Identifying age-specific gene signatures of the human cerebral cortex with joint analysis of transcriptomes and functional connectomes. Briefings in Bioinformatics, 2021. 22(4). Identifying age-specific gene signatures of the human cerebral cortex with joint analysis of transcriptomes and functional connectomes.pdf

60. Shi, K., W. Lin, and X.-M. Zhao, Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics. Ieee-Acm Transactions on Computational Biology and Bioinformatics, 2021. 18(6): p. 2514-2525. Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics.pdf