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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 326–350 of 1207 papers

TitleStatusHype
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—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
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
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation—0
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
Self-Supervised Modality-Agnostic Pre-Training of Swin TransformersCode0
Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Application of Gated Recurrent Units for CT Trajectory Optimization—0
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Advancing Multimodal Medical Capabilities of Gemini—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and OverlapCode0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
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