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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
Detection-aided liver lesion segmentation using deep learningCode0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
Data-Efficient Limited-Angle CT Using Deep Priors and RegularizationCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural networkCode0
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep LearningCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonizationCode0
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks LocalizationCode0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
A deep learning-based method for relative location prediction in CT scan images—0
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features—0
Classification of COVID-19 via Homology of CT-SCAN—0
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
Class-Discriminative Attention Maps for Vision Transformers—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
A new semi-supervised self-training method for lung cancer prediction—0
A dataset of over one thousand computed tomography scans of battery cells—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Capsules for Biomedical Image Segmentation—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
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