Natalie L. Voets
According to our database1,
Natalie L. Voets
authored at least 8 papers
between 2008 and 2025.
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Bibliography
2025
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR.
CoRR, April, 2025
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.
CoRR, 2024
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024
Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024
2012
Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia.
NeuroImage, 2012
2011
NeuroImage, 2011
2008
Evidence for abnormalities of cortical development in adolescent-onset schizophrenia.
NeuroImage, 2008