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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 301–350 of 1207 papers

TitleStatusHype
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural NetworksCode0
Frequency-Supervised MR-to-CT Image SynthesisCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
D-Net: Siamese based Network with Mutual Attention for Volume AlignmentCode0
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic RepairCode0
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scansCode0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Detection-aided liver lesion segmentation using deep learningCode0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
Computer Aided Detection of Oral Lesions on CT ImagesCode0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Improved 3D Whole Heart Geometry from Sparse CMR SlicesCode0
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep LearningCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy PredictingCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule NetworksCode0
Intra-model Variability in COVID-19 Classification Using Chest X-ray ImagesCode0
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Deep Guess acceleration for explainable image reconstruction in sparse-view CTCode0
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label SmoothingCode0
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion ApproachCode0
A Post-Processing Tool and Feasibility Study for Three-Dimensional Imaging with Electrical Impedance Tomography During Deep Brain Stimulation SurgeryCode0
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approachCode0
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating FeaturesCode0
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule ClassificationCode0
DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised LearningCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Data-Efficient Limited-Angle CT Using Deep Priors and RegularizationCode0
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonizationCode0
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