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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 126–150 of 1207 papers

TitleStatusHype
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT ImagesCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
Quad-Net: Quad-domain Network for CT Metal Artifact ReductionCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Fourier Image TransformerCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Body Part Regression for CT ImagesCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
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