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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
Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation CorrectionCode0
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis—0
Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Abdominal multi-organ segmentation in CT using Swinunter—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Solving Low-Dose CT Reconstruction via GAN with Local Coherence—0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis—0
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonizationCode0
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulationsCode0
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic DataCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
User lung cancer classification using efficientnet from ct scan images—0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach—0
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism DiagnosisCode0
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
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse ProblemsCode0
Learning to Distill Global Representation for Sparse-View CTCode0
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
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection—0
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
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
Fast and Stable Diffusion Inverse Solver with History Gradient Update—0
Neural Modulation Fields for Conditional Cone Beam Neural Tomography—0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
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
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer—0
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
RetinexFlow for CT metal artifact reduction—0
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
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
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
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