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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 251–300 of 1207 papers

TitleStatusHype
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning MethodsCode0
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label SmoothingCode0
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksCode0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
Automated Segmentation of CT Scans for Normal Pressure HydrocephalusCode0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Fast CapsNet for Lung Cancer ScreeningCode0
Fluid registration between lung CT and stationary chest tomosynthesis imagesCode0
Frequency-Supervised MR-to-CT Image SynthesisCode0
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks LocalizationCode0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic StrokeCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
A tomographic workflow to enable deep learning for X-ray based foreign object detectionCode0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Asymmetric 3D Context Fusion for Universal Lesion DetectionCode0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
A Closer Look at Spatial-Slice Features Learning for COVID-19 DetectionCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
D-Net: Siamese based Network with Mutual Attention for Volume AlignmentCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
Deep Guess acceleration for explainable image reconstruction in sparse-view CTCode0
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