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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 351–400 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
RadRotator: 3D Rotation of Radiographs with Diffusion Models—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection—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
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery—0
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
A dataset of over one thousand computed tomography scans of battery cells—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—0
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information—0
Sparse2Inverse: Self-supervised inversion of sparse-view CT data—0
A statistical method for crack detection in 3D concrete images—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography—0
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal NetworkCode0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
PFCM: Poisson flow consistency models for low-dose CT image denoising—0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control—0
XProspeCT: CT Volume Generation from Paired X-Rays—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
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