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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 101–150 of 1207 papers

TitleStatusHype
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT ImagesCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image AnalysisCode1
Evaluation of automated airway morphological quantification for assessing fibrosing lung diseaseCode1
Solving Inverse Problems in Medical Imaging with Score-Based Generative ModelsCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
Body Part Regression for CT ImagesCode1
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT TranslationCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
Update 3.0 to “PuMA: The Porous Microstructure Analysis software”Code1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 DetectionCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Fourier Image TransformerCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact ReductionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart DiseaseCode1
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological ImagesCode1
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT PriorsCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
TorchRadon: Fast Differentiable Routines for Computed TomographyCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Learned convex regularizers for inverse problemsCode1
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep LearningCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
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