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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

Showing 5175 of 1207 papers

TitleStatusHype
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed TomographyCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapyCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-raysCode1
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain AttentionCode1
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and DeblurringCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlCode1
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and RecyclingCode1
Orientation-Shared Convolution Representation for CT Metal Artifact LearningCode1
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT ImagesCode1
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
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