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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 576–600 of 1207 papers

TitleStatusHype
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionCode1
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction—0
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling—0
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
LiftReg: Limited Angle 2D/3D Deformable RegistrationCode1
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Recovering medical images from CT film photos—0
Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections—0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance—0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography—0
Fluid registration between lung CT and stationary chest tomosynthesis imagesCode0
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed TomographyCode1
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series—0
A Graphical Approach For Brain Haemorrhage Segmentation—0
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation—0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles—0
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-rayCode1
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