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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 151–200 of 1207 papers

TitleStatusHype
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Disentangled Representation Learning in Cardiac Image AnalysisCode1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT ImagesCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT ImagesCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
A deep learning-based method for relative location prediction in CT scan images—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
A new semi-supervised self-training method for lung cancer prediction—0
A dataset of over one thousand computed tomography scans of battery cells—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
An automatic deep learning approach for coronary artery calcium segmentation—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Adaptive Compressed Tomography Sensing—0
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