We introduce k-planes, a white-box model for radiance fields in arbitrary dimensions. Our
model uses d-choose-2 planes to represent a d-dimensional scene, providing a seamless …

Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …

Cardiac magnetic resonance (CMR) is an essential clinical tool for the assessment of
cardiovascular disease. Deep learning (DL) has recently revolutionized the field through …

Parallel imaging is a commonly used technique to accelerate magnetic resonance imaging
(MRI) data acquisition. Mathematically, parallel MRI reconstruction can be formulated as an …

Abstract Plug-and-Play Priors (PnP) and Regularization by Denoising (RED) are widely-
used frameworks for solving imaging inverse problems by computing fixed-points of …

Critical aspects of computational imaging systems, such as experimental design and image
priors, can be optimized through deep networks formed by the unrolled iterations of classical …

Purpose: To enable real‐time adaptive magnetic resonance imaging–guided radiotherapy
(MRIgRT) by obtaining time‐resolved three‐dimensional (3D) deformation vector fields …

Purpose To improve image quality and accelerate the acquisition of 3D MR fingerprinting
(MRF). Methods Building on the multi‐axis spiral‐projection MRF technique, a subspace …

Cardiacmagnetic resonance imaging (MRI) requires reconstructing a real-time video of a
beating heart from continuous highly under-sampled measurements. This task is …

Intraframe motion blurring, as a major challenge in free‐breathing dynamic MRI, can be
reduced if high temporal resolution can be achieved. To address this challenge, this work …