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Name: ICON Lab
Type: Organization
Name: ICON Lab
Type: Organization
Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods
Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).
Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)
Constrained Ellipse Fitting for Efficient Parameter Mapping With Phase-Cycled bSSFP MRI
Official implementation of DEQ-MPI: A deep equilibrium reconstruction model for magnetic particle imaging
Diffusion-driven Counterfactual Explanation for Functional MRI (https://arxiv.org/abs/2307.09547)
Official repository for "FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI"
Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction
Official TensorFlow implementation of Federated Learning of Generative Image Priors for MRI Reconstruction (FedGIMP)
Official implementation of Hierarchical Spectrogram Transformers (HST)
Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces
ICON Lab @ Bilkent University
Projection onto epigraph sets for rapid self-tuning compressed-sensing MRI
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)
Official implementations of the pixel-wise and cycle-consistency GAN models for multi-contrast MRI synthesis
Official repository for Plug-n-Play MPI Reconstruction
Official Implementation of Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Official implementation of "Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes"
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
Official PyTorch implementation of SelfRDB, a diffusion bridge model for multi-modal medical image synthesis
Official implementation of the paper: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Official implementation of Self-Supervised Diffusion Model for MRI Reconstruction
Official implementation of the semi-supervised GAN model for MRI contrast translation
Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).
Official Implementation of Transformers for System Matrix Super-resolution (TranSMS)
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