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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 301–350 of 1207 papers

TitleStatusHype
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes—0
FQGA-single: Towards Fewer Training Epochs and Fewer Model Parameters for Image-to-Image Translation Tasks—0
Learned denoising with simulated and experimental low-dose CT data—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Improved 3D Whole Heart Geometry from Sparse CMR SlicesCode0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
Edge Projection-Based Adaptive View Selection for Cone-Beam CT—0
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs—0
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images—0
A Cross Spatio-Temporal Pathology-based Lung Nodule DatasetCode0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects—0
DFS-based fast crack detection—0
Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography—0
Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—0
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study—0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation—0
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed TomographyCode0
Self-Supervised Modality-Agnostic Pre-Training of Swin TransformersCode0
Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Application of Gated Recurrent Units for CT Trajectory Optimization—0
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Advancing Multimodal Medical Capabilities of Gemini—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and OverlapCode0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
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