{"total":34,"rows":[{"id":"2307.12225","title":"ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising","created":"2023-07-23","cited_by_count":15,"area":null},{"id":"2308.08463","title":"Learning to Distill Global Representation for Sparse-View CT","created":"2023-08-16","cited_by_count":14,"area":null},{"id":"2302.10630","title":"LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring","created":"2023-02-21","cited_by_count":12,"area":null},{"id":"2212.06378","title":"Robust Split Federated Learning for U-shaped Medical Image Networks","created":"2022-12-13","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":"2207.11678","title":"Quad-Net: Quad-domain Network for CT Metal Artifact Reduction","created":"2022-07-24","cited_by_count":8,"area":null},{"id":"2205.02840","title":"GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification","created":"2022-05-04","cited_by_count":7,"area":null},{"id":"2403.06128","title":"Low-dose CT Denoising with Language-engaged Dual-space Alignment","created":"2024-03-10","cited_by_count":7,"area":null},{"id":"2308.03807","title":"Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction","created":"2023-08-06","cited_by_count":5,"area":null},{"id":"2211.11144","title":"Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution","created":"2022-11-21","cited_by_count":3,"area":null},{"id":"2403.16640","title":"Multi-Scale Texture Loss for CT denoising with GANs","created":"2024-03-25","cited_by_count":2,"area":null},{"id":"2404.09533","title":"WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2404.16292","title":"One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns","created":"2024-04-25","cited_by_count":2,"area":null},{"id":"2411.00830","title":"Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2508.07788","title":"Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2207.00545","title":"Transforming Image Generation from Scene Graphs","created":"2022-07-01","cited_by_count":1,"area":null},{"id":"2304.10839","title":"Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography","created":"2023-04-21","cited_by_count":1,"area":null},{"id":"2405.17141","title":"MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction","created":"2024-05-27","cited_by_count":1,"area":null},{"id":"2507.07800","title":"A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2507.19035","title":"Dual Path Learning -- learning from noise and context for medical image denoising","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2510.07492","title":"A Denoising Framework for Real-World Ultra-Low-Dose Lung CT Images Based on an Image Purification Strategy","created":"2025-10-08","cited_by_count":1,"area":null},{"id":"2304.08072","title":"Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism","created":"2023-04-17","cited_by_count":0,"area":null},{"id":"2308.03340","title":"A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining","created":"2023-08-07","cited_by_count":0,"area":null},{"id":"2312.16455","title":"Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer","created":"2023-12-27","cited_by_count":0,"area":null},{"id":"2411.09512","title":"GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2509.03185","title":"PPORLD-EDNetLDCT: A Proximal Policy Optimization-Based Reinforcement Learning Framework for Adaptive Low-Dose CT Denoising","created":"2025-09-03","cited_by_count":0,"area":null},{"id":"2510.21857","title":"Poisson Flow Consistency Training","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.00698","title":"Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2511.07094","title":"Task-Adaptive Low-Dose CT Reconstruction","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2602.19314","title":"IPv2: An Improved Image Purification Strategy for Real-World Ultra-Low-Dose Lung CT Denoising","created":"2026-02-22","cited_by_count":0,"area":null},{"id":"2602.21987","title":"PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for Low-dose CT imaging","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.00687","title":"SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2606.25009","title":"Noise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.28453","title":"DeVAR: Low-Dose CT Denoising via Visual Autoregressive Modeling","created":"2026-06-26","cited_by_count":0,"area":null}],"next_cursor":null}