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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 201–250 of 1207 papers

TitleStatusHype
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Advancing Multimodal Medical Capabilities of Gemini—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
Continuous Learned Primal Dual—0
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and OverlapCode0
Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CTCode1
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
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
RadRotator: 3D Rotation of Radiographs with Diffusion Models—0
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
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
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
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
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
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
Low-dose CT Denoising with Language-engaged Dual-space AlignmentCode1
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
Towards Generalizable Tumor SynthesisCode3
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—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
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