SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1207 papers

TitleStatusHype
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion—0
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification—0
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)—0
Controlling Neural Networks via Energy Dissipation—0
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy—0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
Human Recognition Using Face in Computed Tomography—0
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation—0
Continuous Learned Primal Dual—0
Continuous Filtered Backprojection by Learnable Interpolation Network—0
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Contrast Phase Classification with a Generative Adversarial Network—0
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis—0
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images—0
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
Show:102550
← PrevPage 12 of 25Next →

No leaderboard results yet.