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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 76–100 of 1207 papers

TitleStatusHype
Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact ReductionCode1
Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy—0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Code3
Vision Foundation Models for Computed TomographyCode2
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study—0
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac CycleCode0
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT—0
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction—0
Validation of Subject-Specific Knee Models from In Vivo Measurements—0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
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