Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
2024 · Strahlentherapie und Onkologie · 32 citations
https://doi.org/10.1007/s00066-024-02262-2
M
Marie‐Christin Metz
TUM Klinikum(DE)
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223
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8
h-index
7
i10-index
Marie‐Christin Metz is an academic researcher from TUM Klinikum. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Glioma Diagnosis and Treatment & MRI in cancer diagnosis. The author has an h-index of 8, co-authored 22 publications.
ORCID: 0000-0002-1459-5741Papers by this author
worksImpact of Multimodal Prompt Elements on Diagnostic Performance of GPT-4V in Challenging Brain MRI Cases
2025 · Radiology · 20 citations
https://doi.org/10.1148/radiol.240689
Noninvasive blood–brain barrier integrity mapping in patients with high‐grade glioma and metastasis by multi–echo time–encoded arterial spin labeling
2025 · Magnetic Resonance in Medicine · 6 citations
https://doi.org/10.1002/mrm.30415
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · Nature Communications · 5 citations
https://doi.org/10.1038/s41467-025-60466-1
Resolving spatial response heterogeneity in glioblastoma
2024 · European Journal of Nuclear Medicine and Molecular Imaging · 2 citations
https://doi.org/10.1007/s00259-024-06782-y
Advanced imaging reveals enhanced malignancy in glioblastomas involving the subventricular zone: evidence of increased infiltrative growth and perfusion
2024 · Journal of Neuro-Oncology · 0 citations
https://doi.org/10.1007/s11060-024-04849-2
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