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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 201–250 of 1207 papers

TitleStatusHype
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Adaptive Compressed Tomography Sensing—0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—0
Block Matching Frame based Material Reconstruction for Spectral CT—0
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Abdominal multi-organ segmentation in CT using Swinunter—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Class-Discriminative Attention Maps for Vision Transformers—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—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
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
Classification of COVID-19 via Homology of CT-SCAN—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
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