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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 851–900 of 1207 papers

TitleStatusHype
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
3D Organ Shape Reconstruction from Topogram Images—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Abdominal multi-organ segmentation in CT using Swinunter—0
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks—0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-—0
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT—0
A convergence proof of the split Bregman method for regularized least-squares problems—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
Active CT Reconstruction with a Learned Sampling Policy—0
Active Learning on Medical Image—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
Adaptive Compressed Tomography Sensing—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
A dataset of over one thousand computed tomography scans of battery cells—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
A deep learning-based method for relative location prediction in CT scan images—0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis—0
Advancing Multimodal Medical Capabilities of Gemini—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
FQGA-single: Towards Fewer Training Epochs and Fewer Model Parameters for Image-to-Image Translation Tasks—0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application—0
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks—0
Aging prediction using deep generative model toward the development of preventive medicine—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images—0
A Graphical Approach For Brain Haemorrhage Segmentation—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
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