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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
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection—0
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and RecyclingCode1
Classification of Brain Hemorrhage Using Deep Learning from CT Scan ImagesCode0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Simulation toolkit for digital material characterization of large image-based microstructuresCode0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Integrating features from lymph node stations for metastatic lymph node detection—0
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Orientation-Shared Convolution Representation for CT Metal Artifact LearningCode1
Kidney and Kidney Tumour Segmentation in CT Images—0
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT ImagesCode1
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-TrainingCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CTCode0
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning—0
On the impact of incorporating task-information in learning-based image denoising—0
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction—0
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19Code1
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
Active CT Reconstruction with a Learned Sampling Policy—0
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT SettingCode1
Unsupervised denoising for sparse multi-spectral computed tomography—0
Self-supervised Physics-based Denoising for Computed Tomography—0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Residual Back Projection With Untrained Neural Networks—0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
NSCGCN: A novel deep GCN model to diagnosis COVID-19—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT ImagesCode1
COVID-19 Detection Using Segmentation, Region Extraction and Classification PipelineCode0
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation—0
Evaluation of importance estimators in deep learning classifiers for Computed Tomography—0
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