PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI

arXiv:2501.09403 · eess.IV, cs.CV, cs.LG, eess.SP, physics.med-ph · Submitted 2025-01-16 · Read on arXiv

Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalan, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel

eess.IV, cs.CV, cs.LG, eess.SP, physics.med-ph

Submitted: 2025-01-16

Updated: 2026-08-19

Journal ref: Medical Image Analysis March 2026

DOI: 10.1016/j.media.2025.103890

Code: https://github.com/compai-lab/2025-pisco-spieker

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 33× in this paper · explained in 3 episodes
• Regularization — 19× in this paper · explained in 3 episodes
• Loss Function — 9× in this paper · explained in 2 episodes
• Self-consistency — 9× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes

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