Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU
2023 · Critical Care · 68 citations
https://doi.org/10.1186/s13054-022-04291-8
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Maximilian Lindholz
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Maximilian Lindholz is an academic researcher from Humboldt-Universität zu Berlin. The author has contributed to research in topics: Sexual function and dysfunction studies & Intensive Care Unit Cognitive Disorders & Genital Health and Disease. The author has an h-index of 5, co-authored 23 publications.
ORCID: 0000-0003-3690-1161Papers by this author
worksEarly mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study
2023 · Annals of Intensive Care · 5 citations
https://doi.org/10.1186/s13613-023-01201-1
Analyzing the TotalSegmentator for facial feature removal in head CT scans
2025 · Radiography · 2 citations
https://doi.org/10.1016/j.radi.2024.12.018
PARROT, an open multilingual radiology reports dataset
2025 · European Journal of Radiology Artificial Intelligence · 1 citations
https://doi.org/10.1016/j.ejrai.2025.100066
Synthetic Uterus MRI Dataset with Uterine Orientation Labels
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://doi.org/10.5281/zenodo.18457476
Synthetic Uterus MRI Dataset with Uterine Orientation Labels
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://doi.org/10.5281/zenodo.18587285
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