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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 451–500 of 1207 papers

TitleStatusHype
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
Dual-branch residual network for lung nodule segmentation—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Detecting Electric Devices in 3D Images of Bags—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
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