1. Barch, Deanna M. 美国 Washington University 2020美国医学院院士 Using Computational Modeling to Capture Schizophrenia-Specific Reinforcement Learning Differences an..
2. 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..
3. 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
4. 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..
5. Gur, Raquel E. 美国 University of Pennsylvania Medical Center 2001美国医学院院士 Heritability and familiality of neurological soft signs: evidence from healthy twins, patients with ..
6. Gur, Raquel E. 美国 University of Pennsylvania Medical Center 2001美国医学院院士 Course of neurological soft signs in first-episode schizophrenia: Relationship with negative symptom..
7. Celso,Arango 西班牙 University of COMPLUTENSE 2023美国医学院院士 Differential Neurodevelopmental Trajectories in Patients With Early-Onset Bipolar and Schizophrenia ..
8. Altman, Russ Biagio 美国 Stanford University 2009美国医学院院士 Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records
9. Andre,Aleman 荷兰 University of Groningen Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
10. Francesco,Benedetti 意大利 University of Vita Salute San Raffaele Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
11. Cynthia H. Y,Fu 英国 University of East London Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
12. Ian H,Gotlib 美国 Stanford University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
13. Hans Joergen,Grabe 德国 University of Greifswald Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
14. J. Paul,Hamilton 瑞典 LINKOPING University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
15. Ben J,Harrison 澳大利亚 University of Melbourne Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
16. David E.J,Linden 荷兰 Maastricht University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
17. Brenda W.J.H,Penninx 荷兰 Vrije Universiteit Amsterdam Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
18. Liesbeth,Reneman 荷兰 University of AMSTERDAM Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
19. Kang,Sim 新加坡 Institute MENTAL Health Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..
20. Jair C,Soares 美国 University of Texas Health Science Center at Houston Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..