Radiology

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

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Showing 10900-10920 of 14,697 articles
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle

Understanding the movement of the left ventricle myocardium (LVmyo) during the cardiac cycle is es...

What radio waves tell us about sleep!

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (witho...

Jan 2025 39155830
Evaluating unsupervised contrastive learning framework for MRI sequences classification

The automatic identification of Magnetic Resonance Imaging (MRI) sequences can streamline clinical...

A Foundational Generative Model for Breast Ultrasound Image Analysis

Foundational models have emerged as powerful tools for addressing various tasks in clinical settin...

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas.

BACKGROUND: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to ...

Jan 2025 39211987
Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection

Developing reliable healthcare AI models requires training with representative and diverse data. I...

UltraRay: Full-Path Ray Tracing for Enhancing Realism in Ultrasound Simulation

Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, a...

MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping.

Evaluation of relevant seed traits is an essential part of most plant breeding and biotechnology pro...

Jan 2025 39383098
Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging

Magnetic Particle Imaging (MPI) is an emerging imaging modality based on the magnetic response of ...

From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI

Brain cancer represents a major challenge in medical diagnostics, requisite precise and timely det...

Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion

Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial sca...

Open Problems in Machine Unlearning for AI Safety

As AI systems become more capable, widely deployed, and increasingly autonomous in critical areas ...

[Research and prospect of application of artificial intelligence technology in oral and maxillofacial surgery].

Artificial intelligence (AI) technology is a scientific and technological field that focuses on the ...

Jan 2025 39743371
A Steerable Deep Network for Model-Free Diffusion MRI Registration

Nonrigid registration is vital to medical image analysis but remains challenging for diffusion MRI...

MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge

The Mice Autism Detection via Ultrasound Vocalization (MADUV) Challenge introduces the first INTER...

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

Compressed sensing MRI seeks to accelerate MRI acquisition processes by sampling fewer k-space mea...

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa

In Sub-Saharan Africa (SSA), the utilization of lower-quality Magnetic Resonance Imaging (MRI) tec...

Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging

Ultrasound images are commonly formed by sequential acquisition of beam-steered scan-lines. Minimi...

Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction

Magnetic Resonance Imaging (MRI) is widely used in clinical practice, but suffered from prolonged ...

FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis

Multi-modality magnetic resonance imaging (MRI) is essential for the diagnosis and treatment of br...

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