Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset

Diffusion magnetic resonance imaging (dMRI) provides critical insights into the microstructural an...

Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration

Echocardiography is the most widely used imaging to monitor cardiac functions, serving as the firs...

CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images

Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary moda...

CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation

The use of synthetic images in medical imaging Artificial Intelligence (AI) solutions has been sho...

Emulating Clinical Quality Muscle B-mode Ultrasound Images from Plane Wave Images Using a Two-Stage Machine Learning Model

Research ultrasound scanners such as the Verasonics Vantage often lack the advanced image processi...

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning

Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cog...

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages

Brain aging involves structural and functional changes and therefore serves as a key biomarker for...

Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks

Early and accurate detection of Parkinson's disease (PD) is a crucial diagnostic challenge carryin...

Reconstructing Quantitative Cerebral Perfusion Images Directly From Measured Sinogram Data Acquired Using C-arm Cone-Beam CT

To shorten the door-to-puncture time for better treating patients with acute ischemic stroke, it i...

Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection

Patient-specific 3D spine models serve as a foundation for spinal treatment and surgery planning a...

Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach

Tongue contour extraction from real-time magnetic resonance images is a nontrivial task due to the...

A Multi-physics Model of Flow from Coronary Angiography: Insights into Microvascular Function

Coronary Artery Disease (CAD) and Coronary Microvascular Disease (CMD) can lead to insufficient bl...

Motion-Guided Deep Image Prior for Cardiac MRI

Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac stru...

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction

Medical image reconstruction with pre-trained score-based generative models (SGMs) has advantages ...

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction

Large high-quality medical image datasets are difficult to acquire but necessary for many deep lea...

Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling

Score-based generative models (SGMs) have recently shown promising results for image reconstructio...

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation

Accurate and automatic segmentation of brain tumors in multi-parametric magnetic resonance imaging...

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Motion artifacts caused by prolonged acquisition time are a significant challenge in Magnetic Reso...

MRGen: Segmentation Data Engine For Underrepresented MRI Modalities

Training medical image segmentation models for rare yet clinically significant imaging modalities ...

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