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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 501–550 of 1207 papers

TitleStatusHype
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text—0
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT ScansCode0
Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning—0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz—0
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs—0
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement—0
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis—0
Segmentation of Hemorrhagic Areas in Human Brain from CT Scan ImagesCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior—0
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule ClassificationCode0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
DiffULD: Diffusive Universal Lesion Detection—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Low-Dose CT Image Reconstruction using Vector Quantized Convolutional Autoencoder with Perceptual Loss—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Task-based Generation of Optimized Projection Sets using Differentiable Ranking—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction—0
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic StrokeCode0
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans—0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging—0
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation ProblemCode0
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation—0
Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting—0
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating FeaturesCode0
X-ray Spectral Estimation using Dictionary Learning—0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19—0
Optimizing CT Scan Geometries With and Without Gradients—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models—0
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