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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 51–75 of 1207 papers

TitleStatusHype
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
Adaptive Compressed Sensing with Diffusion-Based Posterior SamplingCode1
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionCode1
Disentangled Representation Learning in Cardiac Image AnalysisCode1
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2Code1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
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