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University Hospital Augsburg, Technical University of Munich, Bavarian Cancer Research Center (BZKF)
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Achieving a mean MS-SSIM of 0.95 for T1CE MRI, this method outperforms traditional interpolation techniques while providing reliable confidence estimates for clinical use.
Multimodal medical imaging can be disentangled into orthogonal subspaces, revealing modality-specific information previously obscured by joint latent representations.
Ditch anatomical segmentations: this method tracks disease progression by watching how MRI sequence vectors "flow" across a baseline energy landscape learned from a single scan.
