2 papers
cs.CV2026
Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations
Sonja Adomeit, Kartikay Tehlan, Lukas Förner +7
Multimodal imaging analysis often relies on joint latent representations, yet these approaches rarely define what information is shared versus modality-specific. Clarifying this di…
cs.CV2024
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data
Robert Graf, Florian Hunecke, Soeren Pohl +12
Deep learning has made significant strides in medical imaging, leveraging the use of large datasets to improve diagnostics and prognostics. However, large datasets often come with…