Radiology

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

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Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation

Medical image data is less accessible than in other domains due to privacy and regulatory constrai...

Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation

Medical image data is less accessible than in other domains due to privacy and regulatory constrai...

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Color Doppler echocardiography is a crucial tool for diagnosing mitral regurgitation (MR). Recent ...

ChatGPT-4-Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study.

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, with large language models...

Jun 2025 40388838
Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation

Federated learning (FL) has emerged as a promising paradigm for collaboratively training deep lear...

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

We introduce MRF-DiPh, a novel physics informed denoising diffusion approach for multiparametric t...

BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia

Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-...

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

Recent advances in deep learning have made it possible to predict phenotypic measures directly fro...

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning

Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital hear...

Robust and Accurate Multi-view 2D/3D Image Registration with Differentiable X-ray Rendering and Dual Cross-view Constraints

Robust and accurate 2D/3D registration, which aligns preoperative models with intraoperative image...

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker

Trackerless freehand ultrasound reconstruction aims to reconstruct 3D volumes from sequences of 2D...

Lightweight Physics-Informed Zero-Shot Ultrasound Plane Wave Denoising

Ultrasound Coherent Plane Wave Compounding (CPWC) enhances image contrast by combining echoes from...

Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures

An ever-growing incorporation of AI solutions into clinical practices enhances the efficiency and ...

Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection

Detecting brain lesions as abnormalities observed in magnetic resonance imaging (MRI) is essential...

Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions

Accurate three-dimensional (3D) reconstruction of guidewire shapes is crucial for precise navigati...

Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation

In recent decades, the use of 4D Flow MRI images has enabled the quantification of velocity fields...

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Accurate gestational age (GA) estimation, ideally through fetal ultrasound measurement, is a cruci...

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Positron Emission Tomography / Computed Tomography (PET/CT) plays a critical role in medical imagi...

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