Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Runze, Chen, Zeli, Song, Zhiyun, Fang, Wei, Zhang, Jiajin, Tu, Danyang, Tang, Yuxing, Xu, Minfeng, Ye, Xianghua, Lu, Le, Jin, Dakai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
by: Cao, Weiwei, et al.
Published: (2025)
by: Cao, Weiwei, et al.
Published: (2025)
Projection Guided Personalized Federated Learning for Low Dose CT Denoising
by: Zafar, Anas, et al.
Published: (2026)
by: Zafar, Anas, et al.
Published: (2026)
Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
by: Li, Zi, et al.
Published: (2024)
by: Li, Zi, et al.
Published: (2024)
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
by: Li, Linxuan, et al.
Published: (2024)
by: Li, Linxuan, et al.
Published: (2024)
Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising
by: Long, Junhao, et al.
Published: (2025)
by: Long, Junhao, et al.
Published: (2025)
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
by: Yang, Ziyuan, et al.
Published: (2025)
by: Yang, Ziyuan, et al.
Published: (2025)
MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
by: Niu, Xiaolong, et al.
Published: (2025)
by: Niu, Xiaolong, et al.
Published: (2025)
RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
by: Wang, Jianxu, et al.
Published: (2026)
by: Wang, Jianxu, et al.
Published: (2026)
BioAtt: Anatomical Prior Driven Low-Dose CT Denoising
by: Kim, Namhun, et al.
Published: (2025)
by: Kim, Namhun, et al.
Published: (2025)
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
by: Ataei, Sepehr, et al.
Published: (2020)
by: Ataei, Sepehr, et al.
Published: (2020)
Physics-Guided Dual-Domain Plug-and-Play ADMM for Low-Dose CT Reconstruction
by: Dutta, Sayantan, et al.
Published: (2026)
by: Dutta, Sayantan, et al.
Published: (2026)
ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging
by: Takaya, Eichi, et al.
Published: (2025)
by: Takaya, Eichi, et al.
Published: (2025)
Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
by: Sun, Yipeng, et al.
Published: (2025)
by: Sun, Yipeng, et al.
Published: (2025)
Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks
by: Guan, Zhilin, et al.
Published: (2026)
by: Guan, Zhilin, et al.
Published: (2026)
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
by: Selig, Tim, et al.
Published: (2024)
by: Selig, Tim, et al.
Published: (2024)
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT
by: Guo, Dazhou, et al.
Published: (2025)
by: Guo, Dazhou, et al.
Published: (2025)
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
by: Zhao, Haoyu, et al.
Published: (2024)
by: Zhao, Haoyu, et al.
Published: (2024)
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
by: Ye, Zanting, et al.
Published: (2025)
by: Ye, Zanting, et al.
Published: (2025)
Anatomy-Aware Lymphoma Lesion Detection in Whole-Body PET/CT
by: Bendazzoli, Simone, et al.
Published: (2025)
by: Bendazzoli, Simone, et al.
Published: (2025)
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
by: Zhang, Yiwen, et al.
Published: (2023)
by: Zhang, Yiwen, et al.
Published: (2023)
Task-Adaptive Low-Dose CT Reconstruction
by: Sefercioglu, Necati, et al.
Published: (2025)
by: Sefercioglu, Necati, et al.
Published: (2025)
Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction
by: Chen, Daisy
Published: (2024)
by: Chen, Daisy
Published: (2024)
Low-Dose CT Reconstruction Using Dataset-free Learning
by: Wang, Feng, et al.
Published: (2024)
by: Wang, Feng, et al.
Published: (2024)
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
by: Gao, Qi, et al.
Published: (2023)
by: Gao, Qi, et al.
Published: (2023)
Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
by: Hou, Yucun, et al.
Published: (2024)
by: Hou, Yucun, et al.
Published: (2024)
Self-Supervised Training For Low Dose CT Reconstruction
by: Unal, Mehmet Ozan, et al.
Published: (2020)
by: Unal, Mehmet Ozan, et al.
Published: (2020)
Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
by: Zheng, Jie, et al.
Published: (2024)
by: Zheng, Jie, et al.
Published: (2024)
An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
by: Unal, Mehmet Ozan, et al.
Published: (2020)
by: Unal, Mehmet Ozan, et al.
Published: (2020)
Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging
by: Jeon, Sun-Young, et al.
Published: (2024)
by: Jeon, Sun-Young, et al.
Published: (2024)
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
by: Bai, Bizhe, et al.
Published: (2024)
by: Bai, Bizhe, et al.
Published: (2024)
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
by: Liu, Chang, et al.
Published: (2024)
by: Liu, Chang, et al.
Published: (2024)
Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
by: Gao, Qi, et al.
Published: (2025)
by: Gao, Qi, et al.
Published: (2025)
Zero-Shot Low-dose CT Denoising via Sinogram Flicking
by: Shi, Yongyi, et al.
Published: (2025)
by: Shi, Yongyi, et al.
Published: (2025)
Low-dose CT Denoising with Language-engaged Dual-space Alignment
by: Chen, Zhihao, et al.
Published: (2024)
by: Chen, Zhihao, et al.
Published: (2024)
Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data
by: Tivnan, Matthew, et al.
Published: (2025)
by: Tivnan, Matthew, et al.
Published: (2025)
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
by: Chen, Zhihao, et al.
Published: (2025)
by: Chen, Zhihao, et al.
Published: (2025)
GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
by: Dai, Linrui, et al.
Published: (2024)
by: Dai, Linrui, et al.
Published: (2024)
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data
by: Xie, Huidong, et al.
Published: (2024)
by: Xie, Huidong, et al.
Published: (2024)
TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Prediction
by: Cho, Seungik
Published: (2026)
by: Cho, Seungik
Published: (2026)
A CT Image Denoising Method with Residual Encoder-Decoder Network
by: Shawn, Helena, et al.
Published: (2024)
by: Shawn, Helena, et al.
Published: (2024)
Similar Items
-
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
by: Cao, Weiwei, et al.
Published: (2025) -
Projection Guided Personalized Federated Learning for Low Dose CT Denoising
by: Zafar, Anas, et al.
Published: (2026) -
Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
by: Li, Zi, et al.
Published: (2024) -
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
by: Li, Linxuan, et al.
Published: (2024) -
Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising
by: Long, Junhao, et al.
Published: (2025)