4 papers
Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention
Daniel Mensing, Jan Kapar, Jochen G. Hirsch +3
We propose a multimodal latent diffusion model that jointly synthesizes volumetric magnetic resonance imaging (MRI) and tabular clinical data within a shared latent space via cross…
Depth to Anatomy: Organ Localization from Depth Images for Automated Patient Table Positioning in Radiology Workflow
Eytan Kats, Kai Geissler, Daniel Mensing +4
In clinical radiology, accurate patient table positioning is essential to align specific internal organs of interest with the scanner imaging isocenter, ensuring image quality and…
Internal Organ Localization Using Depth Images
Eytan Kats, Kai Geißler, Jochen G. Hirsch +2
Automated patient positioning is a crucial step in streamlining MRI workflows and enhancing patient throughput. RGB-D camera-based systems offer a promising approach to automate th…
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation
Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich
This paper demonstrates a self-supervised framework for learning voxel-wise coarse-to-fine representations tailored for dense downstream tasks. Our approach stems from the observat…