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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 776–800 of 1207 papers

TitleStatusHype
XProspeCT: CT Volume Generation from Paired X-Rays—0
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance—0
X-ray Spectral Estimation using Dictionary Learning—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior—0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images—0
Graph data modelling for outcome prediction in oropharyngeal cancer patients—0
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images—0
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text—0
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study—0
High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation—0
High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models—0
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