Research Foci
  • Biomedical Imaging
  • Robust Uncertainty Estimation
CV

Academic Education

Promotionsstudium, Medical Machine Learning Lab (Prof. Tim Hahn)
Master of Science (Informatik), Universität Münster
Bachelor of Science (Informatik), Universität Münster

Prizes

Promotionspreis – Medizinische Fakultät der Universität Münster
Paper of the Month – Medizinische Fakultät der Universität Münster
Forschungsförderpreis – Maria-Möller-Stiftung
Publications

  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “The timeline of brain aging in major depression: A prospective study from before first-onset to established illness.” Preprint. medRxiv doi: 10.64898/2026.08.29.26361710.
  • , , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “deepmriprep: voxel-based morphometry preprocessing via deep neural networks.” Preprint. Nature Computational Science: 1–10.
  • , , , , , , , , , , , , , , , , , , and . . “MRI-derived estimation of biological aging in patients with affective disorders in a 9-year follow-up - a prospective marker of future recurrence.” Molecular Psychiatry 31 (5): 2652–2659. doi: 10.1038/s41380-025-03382-6.
  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . “Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.” Molecular Psychiatry 31 (3). doi: 10.1038/S41380-025-03273-W.
  • , , , , , and . . “Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue.” Preprint. arXiv doi: 10.48550/arXiv.2609.02390.
  • , , , , , , , and . . “Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health.” Preprint. arXiv doi: 10.48550/arXiv.2607.02127.

  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “Proceedings of the OHBM Brainhack 2022.” Aperture Neuro 2014//4. doi: 10.52294/001c.92760.
  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder.” JAMA Psychiatry 2024/4/81. doi: 10.1001/jamapsychiatry.2023.5083.
  • , , , , , , , , , , and . . “pyAKI - An Open Source Solution to Automated KDIGO classification.” Preprint. arXiv doi: 10.48550/arXiv.2401.12930.
  • , , , , , , , , , , and . “deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.” Computers in Biology and Medicine 179. doi: 10.1016/j.compbiomed.2024.108845.
  • , , , , , , , , , , , , , , and . “GateNet: A novel neural network architecture for automated flow cytometry gating.” Computers in Biology and Medicine 179. doi: 10.1016/j.compbiomed.2024.108820.
  • , , , , , , , , , and . . “C-TRUS: A novel dataset and initial benchmark for colon wall segmentation in transabdominal ultrasound .” in Proc. of ASMUS@MICCAI, edited by A Gómez, V Khanal, AP King and AL Namburete. Cham: Springer Publishing.

  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder.” Molecular Psychiatry 28 (3): 1057–1063. doi: 10.1038/s41380-022-01936-6.
  • , , , , , , , , , , , , , , , , , , , , , , , , , , and . . “Towards a network control theory of electroconvulsive therapy response.” PNAS Nexus 2 (2). doi: 10.1093/pnasnexus/pgad032.

Scientific Talk
  • Ernsting, Jan : “An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling”. Virtual St. Andrews-Bonn meeting: Early career focus - focused on techniques rather than results, Online, .