{"total":75,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2103.12828","title":"Learning to Optimize: A Primer and A Benchmark","created":"2021-03-23","cited_by_count":208,"area":null},{"id":"2207.05876","title":"Adaptive Diffusion Priors for Accelerated MRI Reconstruction","created":"2022-07-12","cited_by_count":118,"area":"diffusion"},{"id":"2110.03220","title":"Gradient Step Denoiser for convergent Plug-and-Play","created":"2021-10-07","cited_by_count":108,"area":null},{"id":"2103.04715","title":"Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie","created":"2021-03-08","cited_by_count":97,"area":null},{"id":"2405.18782","title":"Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors","created":"2024-05-29","cited_by_count":97,"area":"diffusion"},{"id":"2201.13256","title":"Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization","created":"2022-01-31","cited_by_count":80,"area":null},{"id":"2301.03362","title":"Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --","created":"2023-01-09","cited_by_count":71,"area":null},{"id":"2310.10835","title":"Provable Probabilistic Imaging using Score-Based Generative Priors","created":"2023-10-16","cited_by_count":51,"area":null},{"id":"2203.12215","title":"Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging","created":"2022-03-23","cited_by_count":50,"area":null},{"id":"2205.02640","title":"Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization","created":"2022-05-05","cited_by_count":50,"area":null},{"id":"2112.00002","title":"Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields","created":"2021-11-27","cited_by_count":48,"area":null},{"id":"2304.11134","title":"Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference","created":"2023-04-21","cited_by_count":42,"area":null},{"id":"2209.01725","title":"Imaging with Equivariant Deep Learning","created":"2022-09-05","cited_by_count":35,"area":null},{"id":"2205.10278","title":"A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise","created":"2022-05-20","cited_by_count":30,"area":null},{"id":"2312.01831","title":"Equivariant plug-and-play image reconstruction","created":"2023-12-04","cited_by_count":26,"area":null},{"id":"2106.03668","title":"Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition","created":"2021-06-07","cited_by_count":22,"area":null},{"id":"2205.13051","title":"Online Deep Equilibrium Learning for Regularization by Denoising","created":"2022-05-25","cited_by_count":22,"area":null},{"id":"2104.10348","title":"Fixed-Point and Objective Convergence of Plug-and-Play Algorithms","created":"2021-04-21","cited_by_count":19,"area":null},{"id":"2101.09379","title":"SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees","created":"2021-01-22","cited_by_count":18,"area":null},{"id":"2201.06133","title":"On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent","created":"2022-01-16","cited_by_count":14,"area":null},{"id":"2106.15910","title":"Graph Signal Restoration Using Nested Deep Algorithm Unrolling","created":"2021-06-30","cited_by_count":13,"area":null},{"id":"2310.00133","title":"Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis","created":"2023-09-29","cited_by_count":11,"area":null},{"id":"2107.05533","title":"Deformation-Compensated Learning for Image Reconstruction without Ground Truth","created":"2021-07-12","cited_by_count":9,"area":null},{"id":"2109.03237","title":"MRI Reconstruction Using Deep Energy-Based Model","created":"2021-09-07","cited_by_count":8,"area":null},{"id":"2207.13200","title":"Deep Model-Based Architectures for Inverse Problems under Mismatched Priors","created":"2022-07-26","cited_by_count":8,"area":null},{"id":"2305.12672","title":"Block Coordinate Plug-and-Play Methods for Blind Inverse Problems","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2511.16854","title":"MRI Super-Resolution with Deep Learning: A Comprehensive Survey","created":"2025-11-20","cited_by_count":7,"area":null},{"id":"2108.06637","title":"Deep Algorithm Unrolling for Biomedical Imaging","created":"2021-08-15","cited_by_count":6,"area":null},{"id":"2202.05269","title":"A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers","created":"2022-02-10","cited_by_count":5,"area":null},{"id":"2206.07875","title":"Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training","created":"2022-06-16","cited_by_count":5,"area":null},{"id":"2210.06330","title":"CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2311.01216","title":"Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter","created":"2023-11-02","cited_by_count":5,"area":null},{"id":"2412.11108","title":"Plug-and-Play Priors as a Score-Based Method","created":"2024-12-15","cited_by_count":5,"area":null},{"id":"2210.14586","title":"Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance","created":"2022-10-26","cited_by_count":4,"area":null},{"id":"2210.16060","title":"Deep network series for large-scale high-dynamic range imaging","created":"2022-10-28","cited_by_count":4,"area":null},{"id":"2501.09403","title":"PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI","created":"2025-01-16","cited_by_count":4,"area":null},{"id":"2209.00462","title":"MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation","created":"2022-08-31","cited_by_count":3,"area":null},{"id":"2304.12507","title":"Learning Task-Specific Strategies for Accelerated MRI","created":"2023-04-25","cited_by_count":3,"area":null},{"id":"2309.04171","title":"PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval","created":"2023-09-08","cited_by_count":3,"area":null},{"id":"2311.13682","title":"Single-Shot Plug-and-Play Methods for Inverse Problems","created":"2023-11-22","cited_by_count":3,"area":null},{"id":"2311.18810","title":"Convergence of Nonconvex PnP-ADMM with MMSE Denoisers","created":"2023-11-30","cited_by_count":3,"area":null},{"id":"2401.00275","title":"An $\\ell^1$-Plug-and-Play Approach for MPI Using a Zero Shot Denoiser with Evaluation on the 3D Open MPI Dataset","created":"2023-12-30","cited_by_count":3,"area":null},{"id":"2409.13477","title":"A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling","created":"2024-09-20","cited_by_count":3,"area":null},{"id":"2512.18367","title":"PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior","created":"2025-12-20","cited_by_count":3,"area":"diffusion"},{"id":"2603.13439","title":"Bayesian Uncertainty-Aware MRI Reconstruction","created":"2026-03-13","cited_by_count":3,"area":null},{"id":"2210.10605","title":"Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels","created":"2022-10-19","cited_by_count":2,"area":null},{"id":"2411.04995","title":"LoFi: Neural Local Fields for Scalable Image Reconstruction","created":"2024-11-07","cited_by_count":2,"area":null},{"id":"2411.13022","title":"Fast MRI for All: Bridging Access Gaps by Training without Raw Data","created":"2024-11-20","cited_by_count":2,"area":null},{"id":"2501.01482","title":"An unsupervised method for MRI recovery: Deep image prior with structured sparsity","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2505.22923","title":"Plug-and-Play Posterior Sampling for Blind Inverse Problems","created":"2025-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2510.27211","title":"Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2603.10281","title":"Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework","created":"2026-03-10","cited_by_count":2,"area":"diffusion"},{"id":"2203.04180","title":"Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP)","created":"2022-03-08","cited_by_count":1,"area":null},{"id":"2209.02854","title":"Video Restoration with a Deep Plug-and-Play Prior","created":"2022-09-06","cited_by_count":1,"area":null},{"id":"2305.07712","title":"Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior","created":"2023-05-12","cited_by_count":1,"area":"diffusion"},{"id":"2309.16899","title":"On the Contractivity of Plug-and-Play Operators","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2403.06054","title":"Decoupled Data Consistency with Diffusion Purification for Image Restoration","created":"2024-03-10","cited_by_count":1,"area":"diffusion"},{"id":"2407.03034","title":"Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging","created":"2024-07-03","cited_by_count":1,"area":null},{"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":"2201.00259","title":"Subspace modeling for fast and high-sensitivity X-ray chemical imaging","created":"2022-01-01","cited_by_count":0,"area":null},{"id":"2309.06681","title":"A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2407.13120","title":"HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2502.03302","title":"MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2503.09559","title":"Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration","created":"2025-03-12","cited_by_count":0,"area":null},{"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":"2505.08324","title":"An incremental algorithm for non-convex AI-enhanced medical image processing","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2506.10309","title":"DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2511.03093","title":"A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2603.11316","title":"MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2606.17343","title":"Trustworthy MRI Reconstruction via Bayesian Uncertainty Quantification with Sparsity Prior Models","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2608.09672","title":"MPISuperRes-PnP: A Super-Resolution Zero-Shot Plug-and-Play Reconstruction Algorithm for Magnetic Particle Imaging","created":"2026-08-10","cited_by_count":0,"area":null},{"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":"2609.01959","title":"Data-Efficient Networks for Multi-Contrast MRI Reconstruction based on a Generalized Content/Style Prior","created":"2026-09-02","cited_by_count":0,"area":null},{"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}