Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Tschuchnig, Maximilian, Lamminger, Lukas, Steininger, Philipp, Gadermayr, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
by: Murahashi, Naruki, et al.
Published: (2026)
by: Murahashi, Naruki, et al.
Published: (2026)
Synthetic CT image generation from CBCT: A Systematic Review
by: Altalib, Alzahra, et al.
Published: (2025)
by: Altalib, Alzahra, et al.
Published: (2025)
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
by: Zhou, Xianhao, et al.
Published: (2025)
by: Zhou, Xianhao, et al.
Published: (2025)
ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy
by: Brioso, Ricardo Coimbra, et al.
Published: (2025)
by: Brioso, Ricardo Coimbra, et al.
Published: (2025)
Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction
by: Yang, Minmin, et al.
Published: (2025)
by: Yang, Minmin, et al.
Published: (2025)
HC$^3$L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis
by: Yin, Shi, et al.
Published: (2024)
by: Yin, Shi, et al.
Published: (2024)
Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
by: Liu, Zhentao, et al.
Published: (2023)
by: Liu, Zhentao, et al.
Published: (2023)
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
by: Lin, Yiqun, et al.
Published: (2025)
by: Lin, Yiqun, et al.
Published: (2025)
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
by: Shi, Yuxuan, et al.
Published: (2023)
by: Shi, Yuxuan, et al.
Published: (2023)
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement
by: Alavala, Sasidhar, et al.
Published: (2024)
by: Alavala, Sasidhar, et al.
Published: (2024)
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
by: Lin, Yiqun, et al.
Published: (2024)
by: Lin, Yiqun, et al.
Published: (2024)
High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation
by: Zhu, Yi, et al.
Published: (2026)
by: Zhu, Yi, et al.
Published: (2026)
Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
by: Wu, Qing, et al.
Published: (2024)
by: Wu, Qing, et al.
Published: (2024)
NeRF-based CBCT Reconstruction needs Normalization and Initialization
by: Xu, Zhuowei, et al.
Published: (2025)
by: Xu, Zhuowei, et al.
Published: (2025)
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
by: Jang, Tae Jun, et al.
Published: (2021)
by: Jang, Tae Jun, et al.
Published: (2021)
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
by: Shin, Heejun, et al.
Published: (2023)
by: Shin, Heejun, et al.
Published: (2023)
RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN
by: Deng, Ziheng, et al.
Published: (2024)
by: Deng, Ziheng, et al.
Published: (2024)
Latent Anomaly Detection: Masked VQ-GAN for Unsupervised Segmentation in Medical CBCT
by: Wang, Pengwei
Published: (2025)
by: Wang, Pengwei
Published: (2025)
DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
by: Huang, Yuliang, et al.
Published: (2025)
by: Huang, Yuliang, et al.
Published: (2025)
Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
by: Zhu, Qiang, et al.
Published: (2024)
by: Zhu, Qiang, et al.
Published: (2024)
Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction
by: Momeni, Mohammadhossein, et al.
Published: (2024)
by: Momeni, Mohammadhossein, et al.
Published: (2024)
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV
by: Park, Hyoung Suk, et al.
Published: (2025)
by: Park, Hyoung Suk, et al.
Published: (2025)
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)
by: Ferreira, André, et al.
Published: (2025)
MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
by: Li, Siqiao, et al.
Published: (2025)
by: Li, Siqiao, et al.
Published: (2025)
MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images
by: Wang, Yaqi, et al.
Published: (2025)
by: Wang, Yaqi, et al.
Published: (2025)
Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance
by: Steinhauser, Christian, et al.
Published: (2025)
by: Steinhauser, Christian, et al.
Published: (2025)
Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment
by: Wong, Chi Kit, et al.
Published: (2026)
by: Wong, Chi Kit, et al.
Published: (2026)
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
by: Zhang, Yuan, et al.
Published: (2024)
by: Zhang, Yuan, et al.
Published: (2024)
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks
by: Morano, José, et al.
Published: (2024)
by: Morano, José, et al.
Published: (2024)
A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths
by: Xin, Zhuoyao, et al.
Published: (2026)
by: Xin, Zhuoyao, et al.
Published: (2026)
FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
by: Rezvani, Sadjad, et al.
Published: (2024)
by: Rezvani, Sadjad, et al.
Published: (2024)
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
by: Huang, Huan, et al.
Published: (2024)
by: Huang, Huan, et al.
Published: (2024)
Similar Items
-
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025) -
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023) -
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer
by: Tschuchnig, Maximilian E., et al.
Published: (2024)