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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
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT imagesCode1
Adaptive Compressed Sensing with Diffusion-Based Posterior SamplingCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
SdCT-GAN: Reconstructing CT from Biplanar X-Rays with Self-driven Generative Adversarial NetworksCode1
Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionCode1
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss FunctionCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2Code1
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19Code1
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT ScansCode1
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapyCode1
Tapering Analysis of Airways with BronchiectasisCode1
Evaluation of automated airway morphological quantification for assessing fibrosing lung diseaseCode1
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CTCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT ImagesCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
Quad-Net: Quad-domain Network for CT Metal Artifact ReductionCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Fourier Image TransformerCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Body Part Regression for CT ImagesCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
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