Guardado en:
| Autores principales: | Li, Zilong, Ma, Chenglong, Lei, Yiming, Li, Yuanlin, Han, Jing, Liu, Jiannan, Xie, Huidong, Zhang, Junping, Zhang, Yi, Shan, Hongming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.17343 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
por: Ma, Chenglong, et al.
Publicado: (2025)
por: Ma, Chenglong, et al.
Publicado: (2025)
Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
por: Li, Zilong, et al.
Publicado: (2022)
por: Li, Zilong, et al.
Publicado: (2022)
Prompted Contextual Transformer for Incomplete-View CT Reconstruction
por: Ma, Chenglong, et al.
Publicado: (2023)
por: Ma, Chenglong, et al.
Publicado: (2023)
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
por: Gao, Qi, et al.
Publicado: (2023)
por: Gao, Qi, et al.
Publicado: (2023)
PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement
por: Li, Zilong, et al.
Publicado: (2026)
por: Li, Zilong, et al.
Publicado: (2026)
FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising
por: Chen, Zhihao, et al.
Publicado: (2025)
por: Chen, Zhihao, et al.
Publicado: (2025)
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
por: Xue, Xuqian, et al.
Publicado: (2025)
por: Xue, Xuqian, et al.
Publicado: (2025)
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
por: Wang, Hong, et al.
Publicado: (2022)
por: Wang, Hong, et al.
Publicado: (2022)
HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
por: Wang, Chenhui, et al.
Publicado: (2024)
por: Wang, Chenhui, et al.
Publicado: (2024)
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
por: Liu, Xuan, et al.
Publicado: (2023)
por: Liu, Xuan, et al.
Publicado: (2023)
DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
por: Ye, Jiaxin, et al.
Publicado: (2024)
por: Ye, Jiaxin, et al.
Publicado: (2024)
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
por: Rehman, Mubashara, et al.
Publicado: (2025)
por: Rehman, Mubashara, et al.
Publicado: (2025)
Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
por: Gao, Qi, et al.
Publicado: (2025)
por: Gao, Qi, et al.
Publicado: (2025)
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
por: Yang, Xinquan, et al.
Publicado: (2024)
por: Yang, Xinquan, et al.
Publicado: (2024)
Diffusion Model Regularized Implicit Neural Representation for CT Metal Artifact Reduction
por: Wen, Jie, et al.
Publicado: (2025)
por: Wen, Jie, et al.
Publicado: (2025)
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
por: Chen, Zhihao, et al.
Publicado: (2025)
por: Chen, Zhihao, et al.
Publicado: (2025)
Point, Segment and Count: A Generalized Framework for Object Counting
por: Huang, Zhizhong, et al.
Publicado: (2023)
por: Huang, Zhizhong, et al.
Publicado: (2023)
Solving Energy-Independent Density for CT Metal Artifact Reduction via Neural Representation
por: Wu, Qing, et al.
Publicado: (2024)
por: Wu, Qing, et al.
Publicado: (2024)
SIAM: A Simple Alternating Mixer for Video Prediction
por: Zheng, Xin, et al.
Publicado: (2023)
por: Zheng, Xin, et al.
Publicado: (2023)
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
por: Xu, Xiao, et al.
Publicado: (2023)
por: Xu, Xiao, et al.
Publicado: (2023)
A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
por: Zhang, Chenglong
Publicado: (2020)
por: Zhang, Chenglong
Publicado: (2020)
Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
por: Qu, Weikai, et al.
Publicado: (2026)
por: Qu, Weikai, et al.
Publicado: (2026)
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
por: Serrano-Antón, Belén, et al.
Publicado: (2024)
por: Serrano-Antón, Belén, et al.
Publicado: (2024)
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
por: Zhang, Xinrui, et al.
Publicado: (2024)
por: Zhang, Xinrui, et al.
Publicado: (2024)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
por: Wang, Bicheng, et al.
Publicado: (2025)
por: Wang, Bicheng, et al.
Publicado: (2025)
Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
por: Rautio, Siiri, et al.
Publicado: (2026)
por: Rautio, Siiri, et al.
Publicado: (2026)
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
por: Emirdagi, Ahmet Rasim, et al.
Publicado: (2026)
por: Emirdagi, Ahmet Rasim, et al.
Publicado: (2026)
GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
por: Chen, Junze, et al.
Publicado: (2025)
por: Chen, Junze, et al.
Publicado: (2025)
Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control
por: Hou, Qinhan, et al.
Publicado: (2026)
por: Hou, Qinhan, et al.
Publicado: (2026)
Geometry-Aware Spiking Graph Neural Network
por: Zhang, Bowen, et al.
Publicado: (2025)
por: Zhang, Bowen, et al.
Publicado: (2025)
Copper‐Driven Structural Reinforcement of CoFe LDH Enhances Nitrate Adsorption and Accelerates Deoxygenation‐Hydrogenation Kinetics for Electrocatalytic Nitrate Reduction
por: Chenglong Li, et al.
Publicado: (2026)
por: Chenglong Li, et al.
Publicado: (2026)
Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCT
por: Li, Zhi, et al.
Publicado: (2025)
por: Li, Zhi, et al.
Publicado: (2025)
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
por: Zhang, Zhongjian, et al.
Publicado: (2026)
por: Zhang, Zhongjian, et al.
Publicado: (2026)
Bayesian Optimization of Functions over Node Subsets in Graphs
por: Liang, Huidong, et al.
Publicado: (2024)
por: Liang, Huidong, et al.
Publicado: (2024)
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
por: Chen, Tao, et al.
Publicado: (2024)
por: Chen, Tao, et al.
Publicado: (2024)
DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion
por: Huang, Wei, et al.
Publicado: (2025)
por: Huang, Wei, et al.
Publicado: (2025)
“Research Learning Is a Never‐Ending Journey”: A Narrative Case Study of Interplay of Agency and Researcher Identity Construction
por: Junping Lu, et al.
Publicado: (2025)
por: Junping Lu, et al.
Publicado: (2025)
An Efficient Proximity Graph-based Approach to Table Union Search
por: Xie, Yiming, et al.
Publicado: (2025)
por: Xie, Yiming, et al.
Publicado: (2025)
Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD
por: Gong, Shengjie, et al.
Publicado: (2026)
por: Gong, Shengjie, et al.
Publicado: (2026)
Compendia: Automated Visual Storytelling Generation from Online Article Collection
por: Karunathilaka, Manusha, et al.
Publicado: (2026)
por: Karunathilaka, Manusha, et al.
Publicado: (2026)
Ejemplares similares
-
Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
por: Ma, Chenglong, et al.
Publicado: (2025) -
Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
por: Li, Zilong, et al.
Publicado: (2022) -
Prompted Contextual Transformer for Incomplete-View CT Reconstruction
por: Ma, Chenglong, et al.
Publicado: (2023) -
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
por: Gao, Qi, et al.
Publicado: (2023) -
PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement
por: Li, Zilong, et al.
Publicado: (2026)