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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 151–200 of 1207 papers

TitleStatusHype
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT ImagesCode1
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentationCode1
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography VolumesCode1
Multimodal fusion of imaging and genomics for lung cancer recurrence predictionCode1
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT imagesCode1
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
Tapering Analysis of Airways with BronchiectasisCode1
Disentangled Representation Learning in Cardiac Image AnalysisCode1
MRI to CT Translation with GANsCode1
The Liver Tumor Segmentation Benchmark (LiTS)Code1
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation—0
Latent Space Consistency for Sparse-View CT Reconstruction—0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation—0
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration—0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided PromptingCode0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment—0
TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through AdulthoodCode0
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction—0
Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine—0
A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction—0
pyMEAL: A Multi-Encoder Augmentation-Aware Learning for Robust and Generalizable Medical Image TranslationCode0
Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface—0
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels—0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion—0
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)—0
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation—0
Continuous Filtered Backprojection by Learnable Interpolation Network—0
A simple and effective approach for body part recognition on CT scans based on projection estimation—0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing—0
Deciphering scrolls with tomography: A training experiment—0
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks—0
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction—0
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy—0
End2end-ALARA: Approaching the ALARA Law in CT Imaging with End-to-end Learning—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
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