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 1001–1025 of 1207 papers

TitleStatusHype
Physics-Based Iterative Reconstruction for Dual Source and Flying Focal Spot Computed Tomography—0
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion—0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential—0
Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography—0
PFCM: Poisson flow consistency models for low-dose CT image denoising—0
Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model—0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
A model-guided deep network for limited-angle computed tomographyCode0
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy PredictingCode0
Automated Segmentation of CT Scans for Normal Pressure HydrocephalusCode0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
Classification of Brain Hemorrhage Using Deep Learning from CT Scan ImagesCode0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
Frequency-Supervised MR-to-CT Image SynthesisCode0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
Separation of Body and Background in Radiological Images. A Practical Python CodeCode0
Show:102550
← PrevPage 41 of 49Next →

No leaderboard results yet.