{"list":"other","total":51,"rows":[{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"1712.02862","title":"MoDL: Model Based Deep Learning Architecture for Inverse Problems","created":"2017-12-07","cited_by_count":387},{"id":"1704.00447","title":"Learning a Variational Network for Reconstruction of Accelerated MRI Data","created":"2017-04-03","cited_by_count":342},{"id":"2211.07804","title":"Diffusion Models for Medical Image Analysis: A Comprehensive Survey","created":"2022-11-14","cited_by_count":273},{"id":"1704.02422","title":"A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction","created":"2017-04-08","cited_by_count":232},{"id":"1902.05300","title":"On instabilities of deep learning in image reconstruction - Does AI come at a cost?","created":"2019-02-14","cited_by_count":212},{"id":"1912.08142","title":"Causality matters in medical imaging","created":"2019-12-17","cited_by_count":193},{"id":"2207.05876","title":"Adaptive Diffusion Priors for Accelerated MRI Reconstruction","created":"2022-07-12","cited_by_count":118},{"id":"2206.06694","title":"ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset","created":"2022-06-14","cited_by_count":106},{"id":"1904.01112","title":"Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction","created":"2019-04-01","cited_by_count":81},{"id":"2012.00646","title":"On hallucinations in tomographic image reconstruction","created":"2020-12-01","cited_by_count":68},{"id":"2207.12268","title":"What is Healthy? Generative Counterfactual Diffusion for Lesion Localization","created":"2022-07-25","cited_by_count":52},{"id":"2001.01258","title":"The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems","created":"2020-01-05","cited_by_count":40},{"id":"2306.16654","title":"Self-Supervised MRI Reconstruction with Unrolled Diffusion Models","created":"2023-06-29","cited_by_count":38},{"id":"2312.04215","title":"Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs","created":"2023-12-07","cited_by_count":18},{"id":"2111.06401","title":"Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI","created":"2021-11-11","cited_by_count":14},{"id":"2308.01096","title":"Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction","created":"2023-08-02","cited_by_count":14},{"id":"2309.03335","title":"SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction","created":"2023-09-06","cited_by_count":12},{"id":"2012.05303","title":"Machine Learning in Magnetic Resonance Imaging: Image Reconstruction","created":"2020-12-09","cited_by_count":8},{"id":"2403.16776","title":"Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases","created":"2024-03-25","cited_by_count":8},{"id":"2505.02048","title":"Regression is all you need for medical image translation","created":"2025-05-04","cited_by_count":8},{"id":"2409.05585","title":"Latent Causal Modeling for 3D Brain MRI Counterfactuals","created":"2024-09-09","cited_by_count":7},{"id":"2110.14703","title":"Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications","created":"2021-10-27","cited_by_count":6},{"id":"2112.13443","title":"Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction","created":"2021-12-26","cited_by_count":6},{"id":"2205.10993","title":"Distortion-Corrected Image Reconstruction with Deep Learning on an MRI-Linac","created":"2022-05-23","cited_by_count":6},{"id":"2307.01410","title":"Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS","created":"2023-07-04","cited_by_count":5},{"id":"2107.14521","title":"Model-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition","created":"2021-07-30","cited_by_count":4},{"id":"2312.13220","title":"SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space","created":"2023-12-20","cited_by_count":4},{"id":"2404.04550","title":"NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation","created":"2024-04-06","cited_by_count":4},{"id":"2407.14994","title":"Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs","created":"2024-07-20","cited_by_count":4},{"id":"2411.12919","title":"Robust multi-coil MRI reconstruction via self-supervised denoising","created":"2024-11-19","cited_by_count":4},{"id":"2412.17586","title":"Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles","created":"2024-12-23","cited_by_count":4},{"id":"2502.09296","title":"A Physics-Informed Deep Learning Model for MRI Brain Motion Correction","created":"2025-02-13","cited_by_count":4},{"id":"2505.24136","title":"Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction","created":"2025-05-30","cited_by_count":4},{"id":"2504.06767","title":"DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images","created":"2025-04-09","cited_by_count":3},{"id":"2007.02937","title":"Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-enhanced MRI","created":"2020-07-06","cited_by_count":2},{"id":"2301.01106","title":"Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast","created":"2023-01-03","cited_by_count":2},{"id":"2305.00088","title":"DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction","created":"2023-04-28","cited_by_count":2},{"id":"2409.00807","title":"Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details","created":"2024-09-01","cited_by_count":2},{"id":"2409.19623","title":"MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI","created":"2024-09-29","cited_by_count":2},{"id":"2502.01418","title":"Assessing the use of Diffusion models for motion artifact correction in brain MRI","created":"2025-02-03","cited_by_count":2},{"id":"2505.08142","title":"Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models","created":"2025-05-13","cited_by_count":2},{"id":"2511.13232","title":"MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI","created":"2025-11-17","cited_by_count":2},{"id":"2308.03460","title":"Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice","created":"2023-08-07","cited_by_count":1},{"id":"2403.08162","title":"Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI","created":"2024-03-13","cited_by_count":1},{"id":"2412.19552","title":"Contrast-Optimized Basis Functions for Self-Navigated Motion Correction in Quantitative MRI","created":"2024-12-27","cited_by_count":1},{"id":"2503.10156","title":"Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction","created":"2025-03-13","cited_by_count":1},{"id":"2505.03498","title":"Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI","created":"2025-05-06","cited_by_count":1},{"id":"2507.18830","title":"RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models","created":"2025-07-24","cited_by_count":1},{"id":"2510.09056","title":"Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion","created":"2025-10-10","cited_by_count":1},{"id":"2605.22121","title":"MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction","created":"2026-05-21","cited_by_count":1}],"next_cursor":null}