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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 651–700 of 1207 papers

TitleStatusHype
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
Radiomic feature selection for lung cancer classifiers—0
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans—0
RadRotator: 3D Rotation of Radiographs with Diffusion Models—0
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks—0
Residual Back Projection With Untrained Neural Networks—0
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection—0
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation—0
Reconstructing classes of 3D FRI signals from sampled tomographic projections at unknown angles—0
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs—0
Recovering medical images from CT film photos—0
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging—0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
Recursive Deformable Image Registration Network with Mutual Attention—0
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data—0
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition—0
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset—0
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction—0
Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort—0
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis—0
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks—0
ResCovNet: A Deep Learning-Based Architecture For COVID-19 Detection From Chest CT Scan Images—0
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
RetinexFlow for CT metal artifact reduction—0
RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up—0
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
Robotic Ultrasound-Guided Femoral Artery Reconstruction of Anatomically-Representative Phantoms—0
Robust and fully automated segmentation of mandible from CT scans—0
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices—0
Robust Cochlear Modiolar Axis Detection in CT—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization—0
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—0
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images—0
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only—0
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning—0
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification—0
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
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