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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 601–650 of 1207 papers

TitleStatusHype
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion—0
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning—0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Aging prediction using deep generative model toward the development of preventive medicine—0
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and LocalizationCode0
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
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
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
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—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
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
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
PhD Thesis. Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning—0
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction—0
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masseCode0
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection—0
Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-Specific Hip Fracture Risk Screening—0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks LocalizationCode0
How to Register a Live onto a Liver ? Partial Matching in the Space of VarifoldsCode0
A Post-Processing Tool and Feasibility Study for Three-Dimensional Imaging with Electrical Impedance Tomography During Deep Brain Stimulation SurgeryCode0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
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