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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 251–300 of 1207 papers

TitleStatusHype
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Closed-Form Approximation of the Total Variation Proximal Operator—0
MozzaVID: Mozzarella Volumetric Image Dataset—0
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework—0
Deep Guess acceleration for explainable image reconstruction in sparse-view CTCode0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT—0
Self-Supervised Denoiser Framework—0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
Explainable Artificial Intelligence for Medical Applications: A Review—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring—0
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion ApproachCode0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis—0
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT—0
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label SmoothingCode0
On a Hidden Property in Computational Imaging—0
Regression Conformal Prediction under BiasCode0
Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction—0
Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images—0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons—0
Medical Image Segmentation with SAM-generated Annotations—0
High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models—0
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning—0
Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
Two Stage Segmentation of Cervical Tumors using PocketNet—0
Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
MAISI: Medical AI for Synthetic ImagingCode0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Separation of Body and Background in Radiological Images. A Practical Python CodeCode0
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