i-RIM applied to the fastMRI challenge

1. 2022ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformercited by 52
2. 2021Bayesian Uncertainty Estimation of Learned Variational MRI Reconstructioncited by 30
3. 2022HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstructioncited by 30
4. 2022Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRIcited by 8
5. 2023vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problemscited by 8
6. 2023Model-corrected learned primal-dual models for fast limited-view photoacoustic tomographycited by 6
7. 2024NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimationcited by 4
8. 2021Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstructioncited by 3
9. 2022Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imagingcited by 3
10. 2023CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstructioncited by 3
11. 2024MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion modelcited by 3
12. 2021Deep MRI Reconstruction with Radial Subsamplingcited by 2

1. 2026MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI13 Apr 2026
2. 2024MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction31 Oct 2024
3. 2024On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction23 Jun 2024
4. 2024Recurrent Inference Machine for Medical Image Registration19 Jun 2024
5. 2024NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation6 Apr 2024
6. 2024MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model16 Feb 2024
7. 2023vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems18 Sep 2023
8. 2023CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction20 Jun 2023
9. 2023Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography4 Apr 2023
10. 2022Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging24 Apr 2022
11. 2022HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction15 Mar 2022
12. 2022Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI11 Mar 2022

1. 2024MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion modelcited by 3
2. 2024On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstructioncited by 1

1. 2024On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction23 Jun 2024
2. 2024MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model16 Feb 2024

1. 2022ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformercited by 52
2. 2021Bayesian Uncertainty Estimation of Learned Variational MRI Reconstructioncited by 30
3. 2022HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstructioncited by 30
4. 2022Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRIcited by 8
5. 2023vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problemscited by 8
6. 2023Model-corrected learned primal-dual models for fast limited-view photoacoustic tomographycited by 6
7. 2024NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimationcited by 4
8. 2021Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstructioncited by 3
9. 2022Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imagingcited by 3
10. 2023CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstructioncited by 3
11. 2021Deep MRI Reconstruction with Radial Subsamplingcited by 2
12. 2024Recurrent Inference Machine for Medical Image Registrationcited by 2

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1. 2026MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI13 Apr 2026
2. 2024MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction31 Oct 2024
3. 2024Recurrent Inference Machine for Medical Image Registration19 Jun 2024
4. 2024NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation6 Apr 2024
5. 2023vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems18 Sep 2023
6. 2023CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction20 Jun 2023
7. 2023Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography4 Apr 2023
8. 2022Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging24 Apr 2022
9. 2022HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction15 Mar 2022
10. 2022Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI11 Mar 2022
11. 2022ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer23 Jan 2022
12. 2021Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction30 Nov 2021

12 newest of 14 · All 14 (JSON)