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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 901–950 of 1207 papers

TitleStatusHype
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms—0
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising—0
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning—0
Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy—0
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning—0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes—0
Medical Image Segmentation with SAM-generated Annotations—0
Medical Image Synthesis with Context-Aware Generative Adversarial Networks—0
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review—0
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning—0
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Metal Artifact Reduction in Cone-Beam X-Ray CT via Ray Profile Correction—0
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis—0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing—0
Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Modern Convex Optimization to Medical Image Analysis—0
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery—0
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network—0
MozzaVID: Mozzarella Volumetric Image Dataset—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas—0
Multi-Contrast Computed Tomography Healthy Kidney Atlas—0
Multi-Contrast Super-Resolution MRI Through a Progressive Network—0
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images—0
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation—0
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction—0
Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections—0
Multi-modal 3D Pose and Shape Estimation with Computed Tomography—0
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—0
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search—0
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels—0
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology—0
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