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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 201–225 of 1207 papers

TitleStatusHype
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
A model-guided deep network for limited-angle computed tomographyCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Fluid registration between lung CT and stationary chest tomosynthesis imagesCode0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Automatic Pulmonary Lobe Segmentation Using Deep LearningCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
Fast CapsNet for Lung Cancer ScreeningCode0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac CycleCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
A Cross Spatio-Temporal Pathology-based Lung Nodule DatasetCode0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
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