| PHOTONAI—A Python API for rapid machine learning model development R Leenings, NR Winter, L Plagwitz, V Holstein, J Ernsting, K Sarink, ... Plos one 16 (7), e0254062, 2021 | 23 | 2021 |
| An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling T Hahn, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... Science advances 8 (1), eabg9471, 2022 | 14 | 2022 |
| Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder T Hahn, NR Winter, J Ernsting, M Gruber, MJ Mauritz, L Fisch, R Leenings, ... Molecular psychiatry 28 (3), 1057-1063, 2023 | 10 | 2023 |
| Association between genetic risk for type 2 diabetes and structural brain connectivity in major depressive disorder J Repple, A König, SC de Lange, N Opel, R Redlich, S Meinert, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 7 (3), 333-340, 2022 | 8 | 2022 |
| Predicting brain-age from raw t 1-weighted magnetic resonance imaging data using 3d convolutional neural networks L Fisch, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... arXiv preprint arXiv:2103.11695, 2021 | 7 | 2021 |
| A network control theory approach to longitudinal symptom dynamics in major depressive disorder T Hahn, H Jamalabadi, D Emden, J Goltermann, J Ernsting, NR Winter, ... arXiv preprint arXiv:2107.10178, 2021 | 6 | 2021 |
| Systems biology dissection of PTSD and MDD across brain regions, cell types, and blood NP Daskalakis, A Iatrou, C Chatzinakos, A Jajoo, C Snijders, D Wylie, ... Science 384 (6698), eadh3707, 2024 | 1 | 2024 |
| Remote monitoring of depression severity: A machine learning approach VL Holstein, H Rahimi-Eichi, D Emden, L Gutfleisch, A Refisch, ... medRxiv, 2023.08. 22.23294431, 2023 | 1 | 2023 |
| 461. Digital Phenotyping Approaches for Tracking Clinical Symptoms in Serious Mental Illness Y Chung, B Gillis, HR Eichi, V Holstein, S Rauch, E Libenthal, J Baker Biological Psychiatry 95 (10), S288-S289, 2024 | | 2024 |
| 169. Natural Language Processing Analysis of Psychiatric Progress Notes: An Innovative Approach to Real-Time Unbiased Construct Quantification J Vogelgsang, V Holstein, S Dan, J Abston, T McCoy, T Klengel, ... Biological Psychiatry 95 (10), S168, 2024 | | 2024 |
| Predicting dimensions of depression from smartphone data VL Holstein, S Akre, R Leenings, Y Chung, T Hahn, J Baker medRxiv, 2024.01. 08.23300679, 2024 | | 2024 |
| Predicting Treatment Outcomes From Questionnaire Data: A Feasibility Study V Holstein, D Pizzagalli, K Ressler, A Yip, J Baker, N Daskalakis NEUROPSYCHOPHARMACOLOGY 48, 232-232, 2023 | | 2023 |
| From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling J Ernsting, NR Winter, R Leenings, K Sarink, CBC Barkhau, L Fisch, ... arXiv preprint arXiv:2302.05304, 2023 | | 2023 |
| PHOTONAI-Graph-a Python toolbox for graph machine learning J Ernsting, VL Holstein, NR Winter, K Sarink, R Leenings, M Gruber, ... medRxiv, 2023.06. 22.23291748, 2023 | | 2023 |
