2 papers
eess.IV2026
Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration
Shijie Chen, Yiwei Chen, Amir Aghabiglou +4
We introduce interlaced R2D2 (iR2D2), a DNN series paradigm for scalable image reconstruction from accelerated non-Cartesian k-space acquisitions in MRI with sensitivity map self-c…
cs.LG2025
Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories
Jaume Banus, Augustin C. Ogier, Roger Hullin +3
We present a probabilistic framework for modeling structured spatiotemporal dynamics from sparse observations, focusing on cardiac motion. Our approach integrates neural ordinary d…