Deep Learning for Magnetic Resonance Imaging
Rethinking the optimization process for self-supervised model-driven MRI reconstruction
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations
High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors
Metal artifact correction MRI using multi-contrast deep neural networks for diagnosis of degenerative spinal diseases
Segmentation-Aware MRI Reconstruction
MRI Reconstruction with Conditional Adversarial Transformers
Deep Learning for General Image Reconstruction- A Noise-level-aware Framework for PET Image Denoising
DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction
Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, and S. Kevin Zhou Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects
PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction
Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging
DPDudoNet: Deep-Prior based Dual-domain Network for Low-dose Computed Tomography Reconstruction
MTD-GAN: Multi-Task Discriminator based Generative Adversarial Networks for Low-Dose CT Denoising
Uncertainty-Informed Bayesian PET Image Reconstruction using a Deep Image Prior.