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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 751–775 of 1207 papers

TitleStatusHype
Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface—0
Susceptibility of texture measures to noise: an application to lung tumor CT images—0
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet—0
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction—0
Synthetic Data as Validation—0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
Task-based Generation of Optimized Projection Sets using Differentiable Ranking—0
Temporal and volumetric denoising via quantile sparse image prior—0
Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting—0
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography—0
Texture-Aware StarGAN for CT data harmonisation—0
Texture Matching GAN for CT Image Enhancement—0
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons—0
A Rigid Registration Method in TEVAR—0
The establishment of static digital humans and the integration with spinal models—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
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine—0
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography—0
Topic Modeling for Classification of Clinical Reports—0
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images—0
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