Cover Image

ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rehman, Mubashara, Martinel, Niki, Avanzo, Michele, Spizzo, Riccardo, Micheloni, Christian
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows
by: Rehman, Mubashara, et al.
Published: (2026)

MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
by: Serrano-Antón, Belén, et al.
Published: (2024)

SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
by: Martinel, Niki, et al.
Published: (2024)

Tracking Skiers from the Top to the Bottom
by: Dunnhofer, Matteo, et al.
Published: (2023)

Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
by: Iqbal, Nasar, et al.
Published: (2025)

CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Pucci, Rita, et al.
Published: (2024)

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction
by: Li, Zilong, et al.
Published: (2026)

Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Martinel, Niki, et al.
Published: (2025)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
by: Liu, Xuan, et al.
Published: (2023)

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
by: Wang, Hong, et al.
Published: (2022)

LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
by: Nottebaum, Moritz, et al.
Published: (2024)

Diffusion Model Regularized Implicit Neural Representation for CT Metal Artifact Reduction
by: Wen, Jie, et al.
Published: (2025)

Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
by: Qu, Weikai, et al.
Published: (2026)

Solving Energy-Independent Density for CT Metal Artifact Reduction via Neural Representation
by: Wu, Qing, et al.
Published: (2024)

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
by: Li, Zilong, et al.
Published: (2022)

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
by: Ma, Chenglong, et al.
Published: (2025)

Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
by: Yang, Xinquan, et al.
Published: (2024)

T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation
by: Raghaw, Chandravardhan Singh, et al.
Published: (2025)

Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
by: Emirdagi, Ahmet Rasim, et al.
Published: (2026)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
by: Shi, Yuxuan, et al.
Published: (2023)

Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
by: Cheung, Justin, et al.
Published: (2025)

Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
by: Zhang, Xinrui, et al.
Published: (2024)

Is Tracking really more challenging in First Person Egocentric Vision?
by: Dunnhofer, Matteo, et al.
Published: (2025)

Reducing CT Metal Artifacts by Learning Latent Space Alignment with Gemstone Spectral Imaging Data
by: Han, Wencheng, et al.
Published: (2025)

Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones
by: Nottebaum, Moritz, et al.
Published: (2026)

CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
by: Nottebaum, Moritz, et al.
Published: (2026)

Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
by: Dunnhofer, Matteo, et al.
Published: (2026)

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
by: Yang, Hongxu, et al.
Published: (2026)

ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval
by: Yang, Tianyu, et al.
Published: (2026)

Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCT
by: Li, Zhi, et al.
Published: (2025)

FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
by: Tasharofi, Farid, et al.
Published: (2025)

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
by: Lee, Junhee, et al.
Published: (2025)

Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
by: Zhang, Kejia, et al.
Published: (2024)

Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification
by: Li, Yulin, et al.
Published: (2024)

Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification
by: Ang, Eugene P. W., et al.
Published: (2024)

Feature Completion Transformer for Occluded Person Re-identification
by: Wang, Tao, et al.
Published: (2023)

AS-Mamba: Asymmetric Self-Guided Mamba Decoupled Iterative Network for Metal Artifact Reduction
by: Ning, Bowen, et al.
Published: (2026)

Sensitivity Decouple Learning for Image Compression Artifacts Reduction
by: Ma, Li, et al.
Published: (2024)

Feature Recalibration Based Olfactory-Visual Multimodal Model for Enhanced Rice Deterioration Detection
by: Zhao, Rongqiang, et al.
Published: (2026)

An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024)