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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 651–700 of 1207 papers

TitleStatusHype
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction—0
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling—0
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Recovering medical images from CT film photos—0
Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections—0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography—0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance—0
Fluid registration between lung CT and stationary chest tomosynthesis imagesCode0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series—0
A Graphical Approach For Brain Haemorrhage Segmentation—0
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation—0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles—0
Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model—0
A tomographic workflow to enable deep learning for X-ray based foreign object detectionCode0
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers—0
Self-supervised Learning from 100 Million Medical Images—0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images—0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images—0
Automated segmentation of 3-D body composition on computed tomography—0
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images—0
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction—0
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
"One-Shot" Reduction of Additive Artifacts in Medical Images—0
Stochastic Primal-Dual Deep Unrolling—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT—0
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network—0
A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Automated airway segmentation by learning graphical structure—0
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic SegmentationCode0
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