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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
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—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
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—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
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—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
Abdominal multi-organ segmentation in CT using Swinunter—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
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
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