Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework
Fuente:
arXiv
Guardado en:
| Autores principales: | Thalhammer, Johannes, Dorosti, Tina, Peterhansl, Sebastian, Pfeiffer, Daniela, Pfeiffer, Franz, Schaff, Florian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Beam Geometry and Input Dimensionality: Impact on Sparse-Sampling Artifact Correction for Clinical CT with U-Nets
por: Dorosti, Tina, et al.
Publicado: (2025)
por: Dorosti, Tina, et al.
Publicado: (2025)
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction
por: Thalhammer, Johannes, et al.
Publicado: (2023)
por: Thalhammer, Johannes, et al.
Publicado: (2023)
Uncertainty-guided Generation of Dark-field Radiographs
por: Felsner, Lina, et al.
Publicado: (2026)
por: Felsner, Lina, et al.
Publicado: (2026)
Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
por: Thalhammer, Johannes B., et al.
Publicado: (2026)
por: Thalhammer, Johannes B., et al.
Publicado: (2026)
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging
por: Dorosti, Tina, et al.
Publicado: (2023)
por: Dorosti, Tina, et al.
Publicado: (2023)
Improving image quality of sparse-view lung tumor CT images with U-Net
por: Ries, Annika, et al.
Publicado: (2023)
por: Ries, Annika, et al.
Publicado: (2023)
Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning
por: Dorosti, Tina, et al.
Publicado: (2021)
por: Dorosti, Tina, et al.
Publicado: (2021)
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
por: Amirian, Mohammadreza, et al.
Publicado: (2024)
por: Amirian, Mohammadreza, et al.
Publicado: (2024)
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
por: Hönig, Peter, et al.
Publicado: (2024)
por: Hönig, Peter, et al.
Publicado: (2024)
RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN
por: Deng, Ziheng, et al.
Publicado: (2024)
por: Deng, Ziheng, et al.
Publicado: (2024)
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
por: Barco, Daniel, et al.
Publicado: (2025)
por: Barco, Daniel, et al.
Publicado: (2025)
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
por: Lin, Yiqun, et al.
Publicado: (2024)
por: Lin, Yiqun, et al.
Publicado: (2024)
Streak artefact removal in x‐ray dark‐field computed tomography using a convolutional neural network
por: Tom Kumschier, et al.
Publicado: (2024)
por: Tom Kumschier, et al.
Publicado: (2024)
Beam Hardening Correction in Clinical X-ray Dark-Field Chest Radiography using Deep Learning-Based Bone Segmentation
por: Kaster, Lennard, et al.
Publicado: (2025)
por: Kaster, Lennard, et al.
Publicado: (2025)
Beam‐hardening correction in clinical x‐ray dark‐field chest radiography using deep‐learning‐based bone segmentation
por: Lennard Kaster, et al.
Publicado: (2026)
por: Lennard Kaster, et al.
Publicado: (2026)
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
por: Sun, Yipeng, et al.
Publicado: (2025)
por: Sun, Yipeng, et al.
Publicado: (2025)
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
por: Xu, Xiaojian, et al.
Publicado: (2024)
por: Xu, Xiaojian, et al.
Publicado: (2024)
IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection
por: Meier, Johannes, et al.
Publicado: (2025)
por: Meier, Johannes, et al.
Publicado: (2025)
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks
por: Li, Xiaoshuang, et al.
Publicado: (2024)
por: Li, Xiaoshuang, et al.
Publicado: (2024)
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement
por: Alavala, Sasidhar, et al.
Publicado: (2024)
por: Alavala, Sasidhar, et al.
Publicado: (2024)
ArtifactWorld: Scaling 3D Gaussian Splatting Artifact Restoration via Video Generation Models
por: Wang, Xinliang, et al.
Publicado: (2026)
por: Wang, Xinliang, et al.
Publicado: (2026)
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment
por: Drexel, Fabian, et al.
Publicado: (2025)
por: Drexel, Fabian, et al.
Publicado: (2025)
Semantic Segmentation of Textured Non-manifold 3D Meshes using Transformers
por: Heidarianbaei, Mohammadreza, et al.
Publicado: (2026)
por: Heidarianbaei, Mohammadreza, et al.
Publicado: (2026)
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
por: Cao, Aaron, et al.
Publicado: (2024)
por: Cao, Aaron, et al.
Publicado: (2024)
Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs
por: Lin, Yuhui, et al.
Publicado: (2026)
por: Lin, Yuhui, et al.
Publicado: (2026)
Human Fall Detection using Transfer Learning-based 3D CNN
por: Alam, Ekram, et al.
Publicado: (2025)
por: Alam, Ekram, et al.
Publicado: (2025)
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
por: Taktasheva, Maria, et al.
Publicado: (2025)
por: Taktasheva, Maria, et al.
Publicado: (2025)
A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition
por: Zhang, Xiuliang, et al.
Publicado: (2025)
por: Zhang, Xiuliang, et al.
Publicado: (2025)
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
por: Yin, Jun, et al.
Publicado: (2025)
por: Yin, Jun, et al.
Publicado: (2025)
Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting
por: Wang, Jianchao, et al.
Publicado: (2025)
por: Wang, Jianchao, et al.
Publicado: (2025)
Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator
por: Kulvait, Vojtěch, et al.
Publicado: (2021)
por: Kulvait, Vojtěch, et al.
Publicado: (2021)
HyDAR-Pano3D: A Hybrid Disentangled Anatomical Recovery Framework for Panoramic-to-3D Reconstruction
por: Yue, Yaoyao, et al.
Publicado: (2026)
por: Yue, Yaoyao, et al.
Publicado: (2026)
Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes
por: Hansen, Andreas Lau, et al.
Publicado: (2025)
por: Hansen, Andreas Lau, et al.
Publicado: (2025)
UNet-Based Keypoint Regression for 3D Cone Localization in Autonomous Racing
por: Baidachna, Mariia, et al.
Publicado: (2026)
por: Baidachna, Mariia, et al.
Publicado: (2026)
An efficient method to automate tooth identification and 3D bounding box extraction from Cone Beam CT Images
por: Botella, Ignacio Garrido, et al.
Publicado: (2024)
por: Botella, Ignacio Garrido, et al.
Publicado: (2024)
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
por: Steiner, Michael, et al.
Publicado: (2025)
por: Steiner, Michael, et al.
Publicado: (2025)
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
por: Sick, Leon, et al.
Publicado: (2024)
por: Sick, Leon, et al.
Publicado: (2024)
GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians
por: Pavković, Tomislav, et al.
Publicado: (2025)
por: Pavković, Tomislav, et al.
Publicado: (2025)
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN
por: Avigal, Yahav, et al.
Publicado: (2020)
por: Avigal, Yahav, et al.
Publicado: (2020)
3D MRI-Based Alzheimer's Disease Classification Using Multi-Modal 3D CNN with Leakage-Aware Subject-Level Evaluation
por: Sifat, Md, et al.
Publicado: (2026)
por: Sifat, Md, et al.
Publicado: (2026)
Ejemplares similares
-
Beam Geometry and Input Dimensionality: Impact on Sparse-Sampling Artifact Correction for Clinical CT with U-Nets
por: Dorosti, Tina, et al.
Publicado: (2025) -
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction
por: Thalhammer, Johannes, et al.
Publicado: (2023) -
Uncertainty-guided Generation of Dark-field Radiographs
por: Felsner, Lina, et al.
Publicado: (2026) -
Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
por: Thalhammer, Johannes B., et al.
Publicado: (2026) -
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging
por: Dorosti, Tina, et al.
Publicado: (2023)