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Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology.

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Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study., , , , и . Medical Image Anal., (2021)Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation., , , , , , и . BrainLes@MICCAI (1), том 12658 из Lecture Notes in Computer Science, стр. 111-121. Springer, (2020)Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study., , , , и . CoRR, (2020)Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology., , , , , , , , , и . CoRR, (2024)Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications., , , , , , , , , и . DEMI@MICCAI, том 14314 из Lecture Notes in Computer Science, стр. 46-55. Springer, (2023)Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke., , , , , , , , , и 15 other автор(ы). Bildverarbeitung für die Medizin, стр. 9. Springer, (2024)Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation., , , , , , , , , и . CoRR, (2024)