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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
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative ModelsCode0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
Variable Imaging Projection Cloud Scattering TomographyCode0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion—0
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and LocalizationCode0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
Aging prediction using deep generative model toward the development of preventive medicine—0
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning—0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CTCode1
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule DetectionCode1
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
Quad-Net: Quad-domain Network for CT Metal Artifact ReductionCode1
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study—0
Large-Kernel Attention for 3D Medical Image Segmentation—0
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT—0
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives—0
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss FunctionCode1
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—0
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans—0
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography ImagesCode0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs—0
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
Near-Exact Recovery for Tomographic Inverse Problems via Deep LearningCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT ScansCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Recursive Deformable Image Registration Network with Mutual Attention—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
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