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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 201–225 of 1207 papers

TitleStatusHype
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification—0
Multi-modal 3D Pose and Shape Estimation with Computed Tomography—0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis—0
Texture-Aware StarGAN for CT data harmonisation—0
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin—0
Towards synthetic generation of realistic wooden logsCode0
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approachCode0
Robotic Ultrasound-Guided Femoral Artery Reconstruction of Anatomically-Representative Phantoms—0
Towards Universal Text-driven CT Image SegmentationCode0
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT ReconstructionCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
Data-Efficient Limited-Angle CT Using Deep Priors and RegularizationCode0
Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT—0
The establishment of static digital humans and the integration with spinal models—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset—0
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