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Sarah Brüningk

Showing results (1-10 of 9) with videos related to

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Frontiers in Oncology|March 2, 2026
Assessing the robustness and clinical evaluation of a deep-learning segmentation model for head and neck cancerDaniel H Schanne, Léandre Cuenot, Sarah Brüningk, et al.
Intensive Care Medicine|June 24, 2023
Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort studyPatricia Gilholm, Kristen Gibbons, Sarah Brüningk, et al.
JCO Clinical Cancer Informatics|June 3, 2026
Large Language Model-Based Classification of Case Report Abstracts: A Pilot Study on Interactions Between Radiotherapy and Systemic TherapiesFabio Dennstädt, Til Bobnar, Alin Handra, et al.
Frontiers in Digital Health|June 26, 2026
The EU AI Act: implications and compliance guidance for healthcare facilitiesFabio Dennstädt, Janna Hastings, Paul Windisch, et al.
Cancer Letters|June 23, 2026
Optimized L1CAM-CAR T cells enhance activity against moderate-antigen-density rhabdomyosarcoma modelsCaroline Piccand, Corentin Gauthier, Pascal Klöckner, et al.
Journal of Neurotrauma|October 30, 2025
Reassessing the Role of Machine Learning in Clinical Prediction: A Benchmark of Predicting Walking Function after Spinal Cord InjuryJulia Bugajska, Louis P Lukas, Rüdiger Rupp, et al.
International Journal of Cancer|December 31, 2025
Conditional survival in glioblastoma: The evolution of prognostic factors over timeTimothy Mueller, Flavio Vasella, Julia Velz, et al.
BMC Medicine|May 19, 2026
Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline gliomaDaria Laslo, Julia Wolleb, Maria Monzon, et al.
Microbes and Infection|September 7, 2025
ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnosticsMariella Greutmann, Karsten Borgwardt, Sarah Brüningk, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|March 2, 2026
Assessing the robustness and clinical evaluation of a deep-learning segmentation model for head and neck cancerDaniel H Schanne, Léandre Cuenot, Sarah Brüningk, et al.
Intensive Care Medicine|June 24, 2023
Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort studyPatricia Gilholm, Kristen Gibbons, Sarah Brüningk, et al.
JCO Clinical Cancer Informatics|June 3, 2026
Large Language Model-Based Classification of Case Report Abstracts: A Pilot Study on Interactions Between Radiotherapy and Systemic TherapiesFabio Dennstädt, Til Bobnar, Alin Handra, et al.
Frontiers in Digital Health|June 26, 2026
The EU AI Act: implications and compliance guidance for healthcare facilitiesFabio Dennstädt, Janna Hastings, Paul Windisch, et al.
Cancer Letters|June 23, 2026
Optimized L1CAM-CAR T cells enhance activity against moderate-antigen-density rhabdomyosarcoma modelsCaroline Piccand, Corentin Gauthier, Pascal Klöckner, et al.
Journal of Neurotrauma|October 30, 2025
Reassessing the Role of Machine Learning in Clinical Prediction: A Benchmark of Predicting Walking Function after Spinal Cord InjuryJulia Bugajska, Louis P Lukas, Rüdiger Rupp, et al.
International Journal of Cancer|December 31, 2025
Conditional survival in glioblastoma: The evolution of prognostic factors over timeTimothy Mueller, Flavio Vasella, Julia Velz, et al.
BMC Medicine|May 19, 2026
Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline gliomaDaria Laslo, Julia Wolleb, Maria Monzon, et al.
Microbes and Infection|September 7, 2025
ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnosticsMariella Greutmann, Karsten Borgwardt, Sarah Brüningk, et al.
Pageof 1