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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 201–225 of 1207 papers

TitleStatusHype
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—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
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and OverlapCode0
Continuous Learned Primal Dual—0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
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
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
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
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