{"total":32,"rows":[{"id":"2209.03300","title":"Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising","created":"2022-09-07","cited_by_count":19,"area":null},{"id":"2109.00768","title":"Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model","created":"2021-09-02","cited_by_count":17,"area":null},{"id":"2106.10359","title":"Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior","created":"2021-06-18","cited_by_count":13,"area":null},{"id":"2302.00150","title":"Multi-Grade Deep Learning","created":"2023-02-01","cited_by_count":12,"area":null},{"id":"2109.00802","title":"Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance","created":"2021-09-02","cited_by_count":10,"area":null},{"id":"2402.01212","title":"TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network","created":"2024-02-02","cited_by_count":10,"area":null},{"id":"2204.13404","title":"List-Mode PET Image Reconstruction Using Deep Image Prior","created":"2022-04-28","cited_by_count":9,"area":null},{"id":"2108.03920","title":"FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution","created":"2021-08-09","cited_by_count":7,"area":null},{"id":"2110.01174","title":"Deep Kernel Representation for Image Reconstruction in PET","created":"2021-10-04","cited_by_count":6,"area":null},{"id":"2212.11844","title":"Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm","created":"2022-12-22","cited_by_count":6,"area":null},{"id":"2201.01443","title":"Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction","created":"2022-01-05","cited_by_count":5,"area":null},{"id":"2305.07996","title":"Successive Affine Learning for Deep Neural Networks","created":"2023-05-13","cited_by_count":4,"area":null},{"id":"2308.05365","title":"TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms","created":"2023-08-10","cited_by_count":4,"area":null},{"id":"2412.18668","title":"Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization","created":"2024-12-24","cited_by_count":3,"area":null},{"id":"2306.04664","title":"Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling","created":"2023-06-07","cited_by_count":2,"area":null},{"id":"2310.15550","title":"PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2111.04731","title":"Survey of Deep Learning Methods for Inverse Problems","created":"2021-11-07","cited_by_count":1,"area":null},{"id":"2601.11680","title":"FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2110.11396","title":"A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography","created":"2021-10-19","cited_by_count":0,"area":null},{"id":"2110.15568","title":"Unsupervised PET Reconstruction from a Bayesian Perspective","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2210.09099","title":"Cutting-Splicing data augmentation: A novel technology for medical image segmentation","created":"2022-10-17","cited_by_count":0,"area":null},{"id":"2211.01373","title":"Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2303.04661","title":"DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction","created":"2023-03-08","cited_by_count":0,"area":null},{"id":"2303.04667","title":"STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction","created":"2023-03-08","cited_by_count":0,"area":null},{"id":"2306.08783","title":"HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation","created":"2023-06-14","cited_by_count":0,"area":null},{"id":"2306.10201","title":"Stretched sinograms for limited-angle tomographic reconstruction with neural networks","created":"2023-06-16","cited_by_count":0,"area":null},{"id":"2306.17652","title":"Accurate 2D Reconstruction for PET Scanners based on the Analytical White Image Model","created":"2023-06-30","cited_by_count":0,"area":null},{"id":"2312.02494","title":"ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection","created":"2023-12-05","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":"2412.03617","title":"End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms","created":"2024-12-04","cited_by_count":0,"area":null},{"id":"2504.00816","title":"Two-stage deep learning framework for the restoration of incomplete-ring PET images","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2508.17816","title":"UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization","created":"2025-08-25","cited_by_count":0,"area":null}],"next_cursor":null}