1. Oquendo, Maria A. 美国 University of Pennsylvania School of Medicine 2017美国医学院院士 Examining the relationship between gray matter volume and a continuous measure of bipolarity in unme..
2. 苏国辉 中国 暨南大学 中国科学院院士 Illness, at-risk and resilience neural markers of early-stage bipolar disorder
3. Oquendo, Maria A. 美国 University of Pennsylvania School of Medicine 2017美国医学院院士 Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies b..
4. 李涛 中国 浙江大学 教授 Convergence and divergence in neurostructural signatures of unipolar and bipolar depressions: Insigh..
5. Shahin,Akhondzadeh 伊朗 University of Tehran Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disor..
6. Paolo,Brambilla 意大利 University of Milan Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disor..
7. Emre,Bora 土耳其 Dokuz Eylul University Minor physical anomalies in schizophrenia and first-degree relatives in comparison to healthy contro..
8. Ganesan,Venkatasubramanian 印度 National Institute Mental Health & Neurosci Posterior Cerebellar Resting-State Functional Hypoconnectivity: A Neural Marker of Schizophrenia Acr..
9. Bangalore N,Gangadhar 印度 National Institute Mental Health & Neurosci Posterior Cerebellar Resting-State Functional Hypoconnectivity: A Neural Marker of Schizophrenia Acr..
10. Matcheri S,Keshavan 美国 Harvard University Posterior Cerebellar Resting-State Functional Hypoconnectivity: A Neural Marker of Schizophrenia Acr..
11. Andre,Aleman 荷兰 University of Groningen Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
12. Francesco,Benedetti 意大利 University of Vita Salute San Raffaele Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
13. Cynthia H. Y,Fu 英国 University of East London Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
14. Ian H,Gotlib 美国 Stanford University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
15. Hans Joergen,Grabe 德国 University of Greifswald Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
16. J. Paul,Hamilton 瑞典 LINKOPING University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
17. Ben J,Harrison 澳大利亚 University of Melbourne Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
18. David E.J,Linden 荷兰 Maastricht University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
19. Brenda W.J.H,Penninx 荷兰 Vrije Universiteit Amsterdam Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
20. Liesbeth,Reneman 荷兰 University of AMSTERDAM Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..