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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 851–900 of 1207 papers

TitleStatusHype
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
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
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss—0
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Structurally aware bidirectional unpaired image to image translation between CT and MR—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
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
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Probabilistic self-learning framework for Low-dose CT Denoising—0
Human Recognition Using Face in Computed Tomography—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
MosMedData: Chest CT Scans With COVID-19 Related Findings DatasetCode0
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationCode0
Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning—0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—0
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
Intra-model Variability in COVID-19 Classification Using Chest X-ray ImagesCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Detecting Electric Devices in 3D Images of Bags—0
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksCode0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT ImagesCode1
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia—0
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