{"total":34,"rows":[{"id":"2310.14230","title":"A comprehensive survey on deep active learning in medical image analysis","created":"2023-10-22","cited_by_count":35,"area":null},{"id":"2107.09584","title":"Active 3D Shape Reconstruction from Vision and Touch","created":"2021-07-20","cited_by_count":34,"area":null},{"id":"2203.16392","title":"On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction","created":"2022-03-30","cited_by_count":14,"area":null},{"id":"2105.06460","title":"End-to-End Sequential Sampling and Reconstruction for MRI","created":"2021-05-13","cited_by_count":13,"area":null},{"id":"2407.08256","title":"Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling","created":"2024-07-11","cited_by_count":13,"area":null},{"id":"2301.08365","title":"On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction","created":"2023-01-20","cited_by_count":12,"area":null},{"id":"2204.02480","title":"Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks","created":"2022-04-05","cited_by_count":11,"area":null},{"id":"2210.13027","title":"E-Valuating Classifier Two-Sample Tests","created":"2022-10-24","cited_by_count":10,"area":null},{"id":"2108.04914","title":"Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks","created":"2021-08-10","cited_by_count":7,"area":null},{"id":"2406.04318","title":"Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction","created":"2024-06-06","cited_by_count":7,"area":null},{"id":"2103.02940","title":"Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution","created":"2021-03-04","cited_by_count":5,"area":null},{"id":"2107.04163","title":"Towards Robust Active Feature Acquisition","created":"2021-07-09","cited_by_count":5,"area":null},{"id":"2201.09522","title":"Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning","created":"2022-01-24","cited_by_count":4,"area":null},{"id":"2210.12548","title":"JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI","created":"2022-10-22","cited_by_count":3,"area":null},{"id":"2301.11962","title":"On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease","created":"2023-01-27","cited_by_count":3,"area":null},{"id":"2403.00563","title":"Indirectly Parameterized Concrete Autoencoders","created":"2024-03-01","cited_by_count":3,"area":null},{"id":"2403.10346","title":"End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2406.16754","title":"The MRI Scanner as a Diagnostic: Image-less Active Sampling","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2409.11738","title":"Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2203.05756","title":"Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework","created":"2022-03-11","cited_by_count":1,"area":null},{"id":"2208.12835","title":"A Path Towards Clinical Adaptation of Accelerated MRI","created":"2022-08-26","cited_by_count":1,"area":null},{"id":"2306.13276","title":"On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2312.04327","title":"Learning to sample in Cartesian MRI","created":"2023-12-07","cited_by_count":1,"area":null},{"id":"2407.06646","title":"Variational Learning ISTA","created":"2024-07-09","cited_by_count":1,"area":null},{"id":"2505.04586","title":"Active Sampling for MRI-based Sequential Decision Making","created":"2025-05-07","cited_by_count":1,"area":null},{"id":"2505.06535","title":"Online Feedback Efficient Active Target Discovery in Partially Observable Environments","created":"2025-05-10","cited_by_count":1,"area":null},{"id":"2212.02190","title":"L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning","created":"2022-12-05","cited_by_count":0,"area":null},{"id":"2308.14946","title":"Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2406.04261","title":"Simulating, Fast and Slow: Learning Policies for Black-Box Optimization","created":"2024-06-06","cited_by_count":0,"area":null},{"id":"2506.16237","title":"Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2604.12709","title":"Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2607.07083","title":"Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.26887","title":"Conformalized Rate-Adaptive Sensing","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2609.32343","title":"OpenMASC: An Open-Source Pipeline for Cross-Trajectory Metal-Aware Sampling and Correction in Accelerated MRI","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}