Marie Metz
Munich, BY, Germany
Last Updated: 09/26/2026
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Found 9 publications
From histology to diagnosis: Leveraging pathology foundation models for glioma classification.
Journal: Computers in biology and medicine
Published: January 27, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Journal: Nature communications
Published: June 29, 2024
LST-AI: A deep learning ensemble for accurate MS lesion segmentation.
Journal: NeuroImage. Clinical
Published: March 08, 2024
LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation.
Journal: medRxiv : the preprint server for health sciences
Published: December 04, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detection.
Journal: Nature communications
Published: January 26, 2023
Federated learning enables big data for rare cancer boundary detection.
Journal: Nature communications
Published: April 07, 2022
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
Journal: IEEE transactions on medical imaging
Published: December 20, 2021
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Journal: Medical image analysis
Published: December 04, 2021
Showing 1-9 of 9
Last Updated: 09/26/2026