SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 1207 papers

TitleStatusHype
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
A Rigid Registration Method in TEVAR—0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep LearningCode0
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols—0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Fourier Image TransformerCode1
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray ImagesCode0
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction—0
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation—0
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks—0
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing—0
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition—0
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising—0
Partial Matching in the Space of VarifoldsCode0
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning—0
Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles—0
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTsCode0
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Show:102550
← PrevPage 29 of 49Next →

No leaderboard results yet.