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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 51–75 of 1207 papers

TitleStatusHype
Towards Universal Text-driven CT Image SegmentationCode0
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture GradingCode1
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
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor RecognitionCode2
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
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
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
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
Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation EmbeddingsCode0
Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations—0
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT—0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy PredictingCode0
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