SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 1207 papers

TitleStatusHype
Towards Universal Text-driven CT Image SegmentationCode0
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture GradingCode1
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT ReconstructionCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor RecognitionCode2
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
Data-Efficient Limited-Angle CT Using Deep Priors and RegularizationCode0
Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT—0
The establishment of static digital humans and the integration with spinal models—0
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset—0
Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations—0
Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation EmbeddingsCode0
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT—0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy PredictingCode0
Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact ReductionCode1
Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy—0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Code3
Vision Foundation Models for Computed TomographyCode2
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study—0
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac CycleCode0
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT—0
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction—0
Validation of Subject-Specific Knee Models from In Vivo Measurements—0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Show:102550
← PrevPage 2 of 25Next →

No leaderboard results yet.