{"total":51,"rows":[{"id":"2207.05876","title":"Adaptive Diffusion Priors for Accelerated MRI Reconstruction","created":"2022-07-12","cited_by_count":118,"area":"diffusion"},{"id":"2503.11043","title":"InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences","created":"2025-03-14","cited_by_count":68,"area":"diffusion"},{"id":"2305.19809","title":"Direct Diffusion Bridge using Data Consistency for Inverse Problems","created":"2023-05-31","cited_by_count":66,"area":"diffusion"},{"id":"2203.03623","title":"Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction","created":"2022-03-05","cited_by_count":65,"area":"diffusion"},{"id":"2211.12343","title":"Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems","created":"2022-11-20","cited_by_count":60,"area":"diffusion"},{"id":"2202.01479","title":"Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models","created":"2022-02-03","cited_by_count":47,"area":"diffusion"},{"id":"2208.05481","title":"High-Frequency Space Diffusion Models for Accelerated MRI","created":"2022-08-10","cited_by_count":42,"area":"diffusion"},{"id":"2306.16654","title":"Self-Supervised MRI Reconstruction with Unrolled Diffusion Models","created":"2023-06-29","cited_by_count":38,"area":"diffusion"},{"id":"2403.08728","title":"Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data","created":"2024-03-13","cited_by_count":32,"area":"diffusion"},{"id":"2506.02680","title":"Solving Inverse Problems with FLAIR","created":"2025-06-03","cited_by_count":17,"area":"diffusion"},{"id":"2211.13006","title":"Quantized Compressed Sensing with Score-based Generative Models","created":"2022-11-02","cited_by_count":15,"area":"diffusion"},{"id":"2303.14795","title":"MRI Reconstruction with Side Information using Diffusion Models","created":"2023-03-26","cited_by_count":15,"area":"diffusion"},{"id":"2308.01096","title":"Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction","created":"2023-08-02","cited_by_count":14,"area":"diffusion"},{"id":"2211.00199","title":"Accelerated Motion Correction with Deep Generative Diffusion Models","created":"2022-11-01","cited_by_count":12,"area":"diffusion"},{"id":"2304.05060","title":"SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI","created":"2023-04-11","cited_by_count":12,"area":"diffusion"},{"id":"2403.17006","title":"Invertible Diffusion Models for Compressed Sensing","created":"2024-03-25","cited_by_count":12,"area":"diffusion"},{"id":"2504.01689","title":"InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems","created":"2025-04-02","cited_by_count":10,"area":"diffusion"},{"id":"2311.11383","title":"A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI","created":"2023-11-19","cited_by_count":9,"area":"diffusion"},{"id":"2505.20789","title":"Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models","created":"2025-05-27","cited_by_count":7,"area":"diffusion"},{"id":"2407.02744","title":"Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models","created":"2024-07-03","cited_by_count":5,"area":"diffusion"},{"id":"2309.05794","title":"Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification","created":"2023-09-11","cited_by_count":4,"area":"diffusion"},{"id":"2405.05763","title":"DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models","created":"2024-05-09","cited_by_count":4,"area":"diffusion"},{"id":"2406.02549","title":"Dreamguider: Improved Training free Diffusion-based Conditional Generation","created":"2024-06-04","cited_by_count":4,"area":"diffusion"},{"id":"2406.13895","title":"INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction","created":"2024-06-19","cited_by_count":4,"area":"diffusion"},{"id":"2412.18723","title":"MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)","created":"2024-12-25","cited_by_count":4,"area":"diffusion"},{"id":"2501.03430","title":"A Self-supervised Diffusion Bridge for MRI Reconstruction","created":"2025-01-06","cited_by_count":3,"area":"diffusion"},{"id":"2502.17174","title":"Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching","created":"2025-02-24","cited_by_count":3,"area":"diffusion"},{"id":"2505.11393","title":"Diff-Unfolding: A Model-Based Score Learning Framework for Inverse Problems","created":"2025-05-16","cited_by_count":3,"area":"diffusion"},{"id":"2510.11964","title":"Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements","created":"2025-10-13","cited_by_count":3,"area":"diffusion"},{"id":"2306.03284","title":"Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models","created":"2023-06-05","cited_by_count":2,"area":"diffusion"},{"id":"2407.21600","title":"Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors","created":"2024-07-31","cited_by_count":2,"area":"diffusion"},{"id":"2501.07376","title":"Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction","created":"2025-01-13","cited_by_count":2,"area":"diffusion"},{"id":"2505.08142","title":"Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models","created":"2025-05-13","cited_by_count":2,"area":"diffusion"},{"id":"2509.09880","title":"Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining","created":"2025-09-11","cited_by_count":2,"area":"diffusion"},{"id":"2310.09625","title":"JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model","created":"2023-10-14","cited_by_count":1,"area":"diffusion"},{"id":"2411.16535","title":"ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction","created":"2024-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2501.03293","title":"K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging","created":"2025-01-06","cited_by_count":1,"area":"diffusion"},{"id":"2505.15984","title":"Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI","created":"2025-05-21","cited_by_count":1,"area":"diffusion"},{"id":"2511.06823","title":"Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration","created":"2025-11-10","cited_by_count":1,"area":"diffusion"},{"id":"2512.17493","title":"UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching","created":"2025-12-19","cited_by_count":1,"area":"diffusion"},{"id":"2409.14479","title":"Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model","created":"2024-09-22","cited_by_count":0,"area":"diffusion"},{"id":"2503.17244","title":"Deep End-to-End Posterior ENergy (DEEPEN) for image recovery","created":"2025-03-21","cited_by_count":0,"area":"diffusion"},{"id":"2507.09609","title":"I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models","created":"2025-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2507.17764","title":"Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction","created":"2025-07-09","cited_by_count":0,"area":"diffusion"},{"id":"2509.12728","title":"Generalizable Holographic Reconstruction via Amplitude-Only Diffusion Priors","created":"2025-09-16","cited_by_count":0,"area":"diffusion"},{"id":"2509.21531","title":"Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction","created":"2025-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2512.03020","title":"FLAT: FLow-Aligned Training of Unrolled Networks for MRI Reconstruction","created":"2025-12-02","cited_by_count":0,"area":"diffusion"},{"id":"2605.10629","title":"Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction","created":"2026-05-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.31318","title":"Wavelet-Optimized Pseudo-3D Accelerated Diffusion Model for Truncated Computed Laminography","created":"2026-06-30","cited_by_count":0,"area":"diffusion"},{"id":"2608.20561","title":"Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising","created":"2026-08-20","cited_by_count":0,"area":"diffusion"},{"id":"2609.12953","title":"Fast and Faithful: Principled Conditional Flow Matching for Inverse Problems","created":"2026-09-11","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}