{"total":33,"rows":[{"id":"2108.10772","title":"DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising","created":"2021-08-24","cited_by_count":46,"area":null},{"id":"2202.13517","title":"CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising","created":"2022-02-28","cited_by_count":46,"area":null},{"id":"2106.04650","title":"TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising","created":"2021-06-08","cited_by_count":21,"area":null},{"id":"2110.06081","title":"On Expressivity and Trainability of Quadratic Networks","created":"2021-10-12","cited_by_count":19,"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":"2301.07895","title":"Spatially Covariant Lesion Segmentation","created":"2023-01-19","cited_by_count":10,"area":null},{"id":"2201.10345","title":"Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography","created":"2022-01-25","cited_by_count":9,"area":null},{"id":"2301.09245","title":"Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks","created":"2023-01-23","cited_by_count":6,"area":null},{"id":"2303.06316","title":"One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks","created":"2023-03-11","cited_by_count":6,"area":null},{"id":"2204.01707","title":"Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection","created":"2022-04-02","cited_by_count":5,"area":null},{"id":"2207.07368","title":"Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT","created":"2022-07-15","cited_by_count":5,"area":null},{"id":"2210.01125","title":"Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference","created":"2022-10-03","cited_by_count":5,"area":null},{"id":"2210.04944","title":"Masked Autoencoders for Low dose CT denoising","created":"2022-10-10","cited_by_count":4,"area":null},{"id":"2302.13251","title":"Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment","created":"2023-02-26","cited_by_count":4,"area":null},{"id":"2104.15050","title":"Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study","created":"2021-04-30","cited_by_count":3,"area":null},{"id":"2202.02952","title":"Supervision by Denoising for Medical Image Segmentation","created":"2022-02-07","cited_by_count":3,"area":null},{"id":"2203.14794","title":"Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning","created":"2022-03-28","cited_by_count":3,"area":null},{"id":"2405.02369","title":"No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks","created":"2024-05-03","cited_by_count":3,"area":null},{"id":"2103.07303","title":"Second-Order Component Analysis for Fault Detection","created":"2021-03-12","cited_by_count":2,"area":null},{"id":"2503.06827","title":"Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2209.07683","title":"SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction","created":"2022-09-16","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":"2305.07814","title":"Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance","created":"2023-05-13","cited_by_count":1,"area":null},{"id":"2403.03551","title":"Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2104.00889","title":"Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning","created":"2021-04-02","cited_by_count":0,"area":null},{"id":"2105.07146","title":"GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising","created":"2021-05-15","cited_by_count":0,"area":null},{"id":"2309.14755","title":"Image Denoising via Style Disentanglement","created":"2023-09-26","cited_by_count":0,"area":null},{"id":"2310.12405","title":"LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2411.11110","title":"Retinal Vessel Segmentation via Neuron Programming","created":"2024-11-17","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":"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":"2603.25026","title":"CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2609.27564","title":"TNLearn: An Open Source Python Package for Task-based Neurons","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}