Research Foci
- Biomedical Imaging
- Robust Uncertainty Estimation
CV
Academic Education
- Promotionsstudium, Computer Vision & Machine Learning Systems Gruppe (Prof. Benjamin Risse)
- Promotionsstudium, Medical Machine Learning Lab (Prof. Tim Hahn)
- Master of Science (Informatik), Universität Münster
- Bachelor of Science (Informatik), Universität Münster
Honors
- Promotionspreis – Medizinische Fakultät der Universität Münster
- Paper of the Month – Medizinische Fakultät der Universität Münster
- Forschungsförderpreis – Maria-Möller-Stiftung
Publications
- Porschen, Christian and Ernsting, Jan and Brauckmann, Paul and Weiss, Raphael and Würdemann, Till and Booke, Hendrik and Amini, Wida and Maidowski, Ludwig and Risse, Benjamin and Hahn, and Tim and von Groote, Thilo. . “pyAKI—An open source solution to automated acute kidney injury classification.” PloS one, № 20 (1) e0315325.
- Moia, Stefano, Wang, Hao-Ting, Heinsfeld, S.Anibal, et al. . “Proceedings of the OHBM Brainhack 2022.” Aperture Neuro, № 2014//4 doi: 10.52294/001c.92760.
- Porschen, C, Ernsting, J, Brauckmann, P, et al. . “pyAKI - An Open Source Solution to Automated KDIGO classification.” https://arxiv.org doi: 10.48550/arXiv.2401.12930.
- Fisch, L., Zumdick, S., Barkhau, C., et al. . “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.
- L., Fisch, M., Heming, A., Schulte-Mecklenbeck, et al. . “GateNet: A novel neural network architecture for automated flow cytometry gating.” Computers in Biology and Medicine, № 179 doi: 10.1016/j.compbiomed.2024.108820.
- Winter, R.Nils, Blanke, Julian, Leenings, Ramona, et al. . “A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder.” JAMA Psychiatry, № 2024/4/81 doi: 10.1001/jamapsychiatry.2023.5083.
- Hahn, T, Winter, NR, Ernsting, J, et al. . “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.
- Hahn, Tim, Jamalabadi, Hamidreza, Nozari, Erfan, et al. . “Towards a network control theory of electroconvulsive therapy response.” PNAS Nexus, № 2 (2) doi: 10.1093/pnasnexus/pgad032.
- Hahn, T, Ernsting, J, Winter, NR, et al. . “An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.” Science advances, № 8 (1): eabg9471–eabg9471. doi: 10.1126/sciadv.abg9471.
- Leenings, R, Winter, NR, Plagwitz, L, et al. . “PHOTONAI-A Python API for rapid machine learning model development.” PloS one, № 16 doi: 10.1371/journal.pone.0254062.
- Hahn, T, Fisch, L, Ernsting, J, et al. . “From “Loose Fitting” to High-Performance, Uncertainty-Aware Brain-Age Modelling.” Brain, № 144 (3) e31. doi: 10.1093/brain/awaa454.
- Sandmann, Sarah, Karimi, Mohsen, de Graaf, Aniek O, et al. . “appreci8: a pipeline for precise variant calling integrating 8 tools.” Bioinformatics, № 2018/24/34 doi: 10.1093/bioinformatics/bty518.
- Brix, TJ, Bruland, P, Sarfraz, S, et al. . “ODM Data Analysis-A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data.” PloS one, № 13 doi: 10.1371/journal.pone.0199242.
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, .
