{"total":39,"rows":[{"id":"2105.08059","title":"Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers","created":"2021-05-15","cited_by_count":77,"area":null},{"id":"2201.09376","title":"ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer","created":"2022-01-23","cited_by_count":52,"area":null},{"id":"2112.12744","title":"AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis","created":"2021-12-23","cited_by_count":38,"area":null},{"id":"2504.16109","title":"Representation Learning for Tabular Data: A Comprehensive Survey","created":"2025-04-17","cited_by_count":36,"area":null},{"id":"2202.04175","title":"Federated Learning of Generative Image Priors for MRI Reconstruction","created":"2022-02-08","cited_by_count":33,"area":null},{"id":"2203.11178","title":"Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance","created":"2022-03-21","cited_by_count":22,"area":null},{"id":"2102.01530","title":"Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review","created":"2021-02-02","cited_by_count":19,"area":null},{"id":"2111.11926","title":"An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction","created":"2021-11-23","cited_by_count":16,"area":null},{"id":"2103.05214","title":"Universal Undersampled MRI Reconstruction","created":"2021-03-09","cited_by_count":15,"area":null},{"id":"2307.13220","title":"One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction","created":"2023-07-25","cited_by_count":15,"area":null},{"id":"2302.09244","title":"Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction","created":"2023-02-18","cited_by_count":13,"area":null},{"id":"2105.08175","title":"Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction","created":"2021-05-17","cited_by_count":11,"area":null},{"id":"2409.13094","title":"DenoMamba: A fused state-space model for low-dose CT denoising","created":"2024-09-19","cited_by_count":11,"area":null},{"id":"2312.10271","title":"Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data","created":"2023-12-16","cited_by_count":10,"area":null},{"id":"2109.03237","title":"MRI Reconstruction Using Deep Energy-Based Model","created":"2021-09-07","cited_by_count":8,"area":null},{"id":"2306.12150","title":"Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification","created":"2023-06-21","cited_by_count":8,"area":null},{"id":"2405.17613","title":"Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2412.09331","title":"Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction","created":"2024-12-12","cited_by_count":8,"area":null},{"id":"2303.10436","title":"FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI","created":"2023-03-18","cited_by_count":7,"area":null},{"id":"2112.05758","title":"Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information","created":"2021-12-10","cited_by_count":6,"area":null},{"id":"2502.04521","title":"Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction","created":"2025-02-06","cited_by_count":5,"area":null},{"id":"2107.02572","title":"Unsupervised Knowledge-Transfer for Learned Image Reconstruction","created":"2021-07-06","cited_by_count":4,"area":null},{"id":"2402.15939","title":"Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI","created":"2024-02-24","cited_by_count":4,"area":null},{"id":"2111.15498","title":"Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction","created":"2021-11-30","cited_by_count":3,"area":null},{"id":"2303.15963","title":"Multimodal and multicontrast image fusion via deep generative models","created":"2023-03-28","cited_by_count":3,"area":null},{"id":"2103.07790","title":"A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors","created":"2021-03-13","cited_by_count":2,"area":null},{"id":"2207.02073","title":"A Densely Interconnected Network for Deep Learning Accelerated MRI","created":"2022-07-05","cited_by_count":2,"area":null},{"id":"2302.00225","title":"The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence","created":"2023-02-01","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":"2206.00775","title":"Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data","created":"2022-06-01","cited_by_count":1,"area":null},{"id":"2206.07364","title":"Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction","created":"2022-06-15","cited_by_count":1,"area":null},{"id":"2301.01355","title":"Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction","created":"2023-01-03","cited_by_count":1,"area":null},{"id":"2512.06530","title":"On The Role of K-Space Acquisition in MRI Reconstruction Domain-Generalization","created":"2025-12-06","cited_by_count":1,"area":null},{"id":"2311.13963","title":"Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction","created":"2023-11-23","cited_by_count":0,"area":null},{"id":"2403.08566","title":"A Novel Implicit Neural Representation for Volume Data","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2408.05705","title":"TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling","created":"2024-08-11","cited_by_count":0,"area":null},{"id":"2507.22303","title":"CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2603.07831","title":"Transferable Optimization Network for Cross-Domain Image Reconstruction","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2603.24388","title":"Causal Transfer in Medical Image Analysis","created":"2026-03-25","cited_by_count":0,"area":null}],"next_cursor":null}