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 951–1000 of 1207 papers

TitleStatusHype
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Stagnant zone segmentation with U-net—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database—0
Low radiation tomographic reconstruction with and without template information—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
Sparse and redundant signal representations for x-ray computed tomography—0
Stochastic tissue window normalization of deep learning on computed tomography—0
Artificial Intelligence in Glioma Imaging: Challenges and Advances—0
Lung Cancer Detection and Classification based on Image Processing and Statistical Learning—0
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction—0
Contrast Phase Classification with a Generative Adversarial Network—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep learning for cardiac image segmentation: A review—0
Field of View Extension in Computed Tomography Using Deep Learning Prior—0
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT—0
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric UncertaintyCode0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Organ At Risk Segmentation with Multiple Modality—0
Segmentation Criteria in the Problem of Porosity Determination based on CT Scans—0
Improved Material Decomposition with a Two-step Regularization for spectral CT—0
Extreme Few-view CT Reconstruction using Deep Inference—0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis—0
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)—0
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories—0
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation—0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Tapering Analysis of Airways with BronchiectasisCode1
Local block-wise self attention for normal organ segmentation—0
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion DetectionCode0
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms—0
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium—0
3D Anchor-Free Lesion Detector on Computed Tomography Scans—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
Shape-Aware Complementary-Task Learning for Multi-Organ SegmentationCode0
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and SegmentationCode0
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation—0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis—0
Multi-Contrast Super-Resolution MRI Through a Progressive Network—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Automatic segmentation of kidney and liver tumors in CT images—0
Show:102550
← PrevPage 20 of 25Next →

No leaderboard results yet.