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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 101–150 of 1207 papers

TitleStatusHype
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomographyCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
MRI to CT Translation with GANsCode1
Adaptive Compressed Sensing with Diffusion-Based Posterior SamplingCode1
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed TomographyCode1
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationCode1
Near-Exact Recovery for Tomographic Inverse Problems via Deep LearningCode1
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT SettingCode1
Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registrationCode1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2Code1
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain AttentionCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Solving Inverse Problems in Medical Imaging with Score-Based Generative ModelsCode1
The Liver Tumor Segmentation Benchmark (LiTS)Code1
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CTCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Body Part Regression for CT ImagesCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
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-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss FunctionCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
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