SOTAVerified

De-aliasing

De-aliasing is the problem of recovering the original high-frequency information that has been aliased during the acquisition of an image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–22 of 22 papers

TitleStatusHype
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep DenoisersCode1
When Semantic Segmentation Meets Frequency AliasingCode1
Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image ReconstructionCode1
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterationsCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
Adaptive Diffusion Priors for Accelerated MRI ReconstructionCode1
Can learning from natural image denoising be used for seismic data interpolation?Code0
Deep learning based spatial aliasing reduction in beamforming for audio capture—0
EMWaveNet: Physically Explainable Neural Network Based on Electromagnetic Propagation for SAR Target Recognition—0
eGAD! double descent is explained by Generalized Aliasing Decomposition—0
Temporal Embeddings and Transformer Models for Narrative Text Understanding—0
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction—0
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging—0
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction—0
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease—0
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction—0
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction—0
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction—0
Deep De-Aliasing for Fast Compressive Sensing MRI—0
DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography—0
Show:102550

No leaderboard results yet.