Generating Physically Plausible 4D Images from Sparse Supervision with Neural ODEs and Respiratory Signals
To generate physiologically plausible 4D medical image sequences from extremely sparse inputs by integrating external breathing signals, overcoming the limitation of requiring dense supervision in current spatiotemporal interpolation methods.
Poster Program · Therapy Physics