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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 176–200 of 1207 papers

TitleStatusHype
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioningCode1
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study—0
Merlin: A Vision Language Foundation Model for 3D Computed TomographyCode3
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic UltrasonographyCode1
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation—0
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed TomographyCode4
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed TomographyCode0
Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy—0
Self-Supervised Modality-Agnostic Pre-Training of Swin TransformersCode0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Application of Gated Recurrent Units for CT Trajectory Optimization—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences—0
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
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