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 351–375 of 1207 papers

TitleStatusHype
Continuous Learned Primal Dual—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
RadRotator: 3D Rotation of Radiographs with Diffusion Models—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Reconstructing classes of 3D FRI signals from sampled tomographic projections at unknown angles—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
A Closer Look at Spatial-Slice Features Learning for COVID-19 DetectionCode0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Simple 2D Convolutional Neural Network-based Approach for COVID-19 DetectionCode0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Show:102550
← PrevPage 15 of 49Next →

No leaderboard results yet.