| Recommendations and future directions for supervised machine learning in psychiatry M Cearns, T Hahn, BT Baune Translational psychiatry 9 (1), 271, 2019 | 100 | 2019 |
| Systematic misestimation of machine learning performance in neuroimaging studies of depression C Flint, M Cearns, N Opel, R Redlich, DMA Mehler, D Emden, NR Winter, ... Neuropsychopharmacology 46 (8), 1510-1517, 2021 | 96 | 2021 |
| Association of polygenic score for major depression with response to lithium in patients with bipolar disorder AT Amare, KO Schubert, L Hou, SR Clark, S Papiol, M Cearns, ... Molecular psychiatry 26 (6), 2457-2470, 2021 | 65 | 2021 |
| Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression SP Hagenaars, JRI Coleman, SW Choi, H Gaspar, MJ Adams, ... American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 183 …, 2020 | 49 | 2020 |
| Large-scale evidence for an association between low-grade peripheral inflammation and brain structural alterations in major depression in the BiDirect study N Opel, M Cearns, S Clark, C Toben, D Grotegerd, W Heindel, H Kugel, ... Journal of Psychiatry and Neuroscience 44 (6), 423-431, 2019 | 41 | 2019 |
| Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach M Cearns, N Opel, S Clark, C Kaehler, A Thalamuthu, W Heindel, T Winter, ... Translational psychiatry 9 (1), 285, 2019 | 39 | 2019 |
| Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients KO Schubert, A Thalamuthu, AT Amare, J Frank, F Streit, M Adl, N Akula, ... Translational Psychiatry 11 (1), 606, 2021 | 34 | 2021 |
| Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach M Cearns, AT Amare, KO Schubert, A Thalamuthu, J Frank, F Streit, M Adli, ... The British Journal of Psychiatry 220 (4), 219-228, 2022 | 21 | 2022 |
| HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders S Le Clerc, L Lombardi, BT Baune, AT Amare, KO Schubert, L Hou, ... Scientific reports 11 (1), 17823, 2021 | 18 | 2021 |
| Machine learning probability calibration for high-risk clinical decision-making M Cearns, T Hahn, S Clark, BT Baune Australian & New Zealand Journal of Psychiatry 54 (2), 123-126, 2020 | 15 | 2020 |
| From multivariate methods to an AI ecosystem NR Winter, M Cearns, SR Clark, R Leenings, U Dannlowski, BT Baune, ... Molecular psychiatry 26 (11), 6116-6120, 2021 | 14 | 2021 |
| Prediction of early symptom remission in two independent samples of first-episode psychosis patients using machine learning RF Soldatos, M Cearns, MØ Nielsen, C Kollias, LA Xenaki, P Stefanatou, ... Schizophrenia Bulletin 48 (1), 122-133, 2022 | 13 | 2022 |
| Psychological training to improve psychosocial function in patients with major depressive disorder: A randomised clinical trial MJ Knight, E Lyrtzis, C Fourrier, N Aboustate, E Sampson, H Hori, ... Psychiatry Research 300, 113906, 2021 | 10 | 2021 |
| Suppressed activity of the rostral anterior cingulate cortex as a biomarker for depression remission CG Davey, M Cearns, A Jamieson, BJ Harrison Psychological Medicine 53 (6), 2448-2455, 2023 | 9 | 2023 |
| Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder M Herrera-Rivero, K Gutiérrez-Fragoso, J Kurtz, BT Baune Translational psychiatry 14 (1), 174, 2024 | 5 | 2024 |
| Multimodal modeling for personalized psychiatry SR Clark, M Cearns, KO Schubert, BT Baune Personalized psychiatry, 521-536, 2020 | 3 | 2020 |
| The Effects of Dose, Practice Habits, and Objects of Focus on Digital Meditation Effectiveness and Adherence: Longitudinal Study of 280,000 Digital Meditation Sessions Across … M Cearns, SR Clark Journal of Medical Internet Research 25, e43358, 2023 | 2 | 2023 |
| Exploring the genetics of lithium response in bipolar disorders M Herrera-Rivero, M Adli, K Akiyama, N Akula, AT Amare, R Ardau, ... International Journal of Bipolar Disorders 12 (1), 20, 2024 | 1 | 2024 |
| Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients KO Schubert, A Thalamuthu, AT Amare, J Frank, F Streit, M Adl, N Akula, ... Translational Psychiatry 12 (1), 278, 2022 | 1 | 2022 |
| Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort S Hartmann, M Cearns, C Pantelis, D Dwyer, B Cavve, E Byrne, I Scott, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 9 (4), 417-428, 2024 | | 2024 |
Udo DannlowskiProfessor of Translational Psychiatry, University of Münster, Germany在 uni-muenster.de 的电子邮件经过验证
