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Found 5 papers, 3 papers with code
StreakNet-Arch: An Anti-scattering Network-based Architecture for Underwater Carrier LiDAR-Radar Imaging
In this paper, we introduce StreakNet-Arch, a novel signal processing architecture designed for Underwater Carrier LiDAR-Radar (UCLR) imaging systems, to address the limitations in scatter suppression and real-time imaging.
Coil2Coil: Self-supervised MR image denoising using phased-array coil images
Hence, methods such as Noise2Noise (N2N) that require only pairs of noise-corrupted images have been developed to reduce the burden of obtaining training datasets.
Deep reinforcement learning-designed radiofrequency waveform in MRI
This work may lay the foundation for an emerging field of AI-driven RF waveform design.
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
In this study, a new deep neural network, referred to as DIFFnet, is developed to function as a generalized reconstruction tool of the diffusion-weighted signals for various gradient schemes and b-values.
DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE
DeepResp is designed to extract the respiration-induced phase errors from a complex image using deep neural networks.
Image and Video Processing
