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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 351–400 of 1207 papers

TitleStatusHype
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imagingCode0
Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation—0
Learning to Distill Global Representation for Sparse-View CTCode0
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse ProblemsCode0
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 ChallengeCode1
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomographyCode0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction—0
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection—0
Improving image quality of sparse-view lung tumor CT images with U-NetCode0
Development of pericardial fat count images using a combination of three different deep-learning models—0
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Fast and Stable Diffusion Inverse Solver with History Gradient Update—0
Neural Modulation Fields for Conditional Cone Beam Neural Tomography—0
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging—0
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images—0
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer—0
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
RetinexFlow for CT metal artifact reduction—0
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Online learning for X-ray, CT or MRI—0
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions—0
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas—0
Active Learning on Medical Image—0
Introduction of Medical Imaging Modalities—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume—0
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text—0
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning—0
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT ScansCode0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz—0
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs—0
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