Radiology

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

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Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Sep 2025 40348296
UltrasOM: A mamba-based network for 3D freehand ultrasound reconstruction using optical flow.

BACKGROUND: Three-dimensional (3D) ultrasound (US) reconstruction is of significant value in clinica...

Aug 2025 40367539
A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.

OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is ...

Aug 2025 40367541
Causal insights from clinical information in radiology: Enhancing future multimodal AI development.

PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by ana...

Aug 2025 40378553
A robust automated segmentation method for white matter hyperintensity of vascular-origin.

White matter hyperintensity (WMH) is a primary manifestation of small vessel disease (SVD), leading ...

Jul 2025 40389145
Predicting depression in healthy young adults: A machine learning approach using longitudinal neuroimaging data.

Accurate prediction of depressive symptoms in healthy individuals can enable early intervention and ...

Jul 2025 40412672
Photoacoustic-Integrated Multimodal Approach for Colorectal Cancer Diagnosis.

Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...

Jul 2025 40592765
[Application and progress of artificial intelligence technology in interventional pulmonology].

In recent years, interventional pulmonology has advanced rapidly, with bronchoscopy becoming a corne...

Jul 2025 40582978
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study

Solving computer vision problems through machine learning, one often encounters lack of sufficient...

An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan

Magnetic resonance imaging (MRI) enables non-invasive, high-resolution analysis of muscle structur...

Generalizable 7T T1-map Synthesis from 1.5T and 3T T1 MRI with an Efficient Transformer Model

Purpose: Ultra-high-field 7T MRI offers improved resolution and contrast over standard clinical fi...

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

Current challenges in developing foundational models for volumetric imaging data, such as magnetic...

ArteryX: Advancing Brain Artery Feature Extraction with Vessel-Fused Networks and a Robust Validation Framework

Cerebrovascular pathology significantly contributes to cognitive decline and neurological disorder...

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding

Compressive imaging (CI) reconstruction, such as snapshot compressive imaging (SCI) and compressiv...

Semi-supervised learning and integration of multi-sequence MR-images for carotid vessel wall and plaque segmentation

The analysis of carotid arteries, particularly plaques, in multi-sequence Magnetic Resonance Imagi...

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation

Ultrasound imaging is a prevalent diagnostic tool known for its simplicity and non-invasiveness. H...

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

Despite significant advancements in adapting Large Language Models (LLMs) for radiology report gen...

SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction

Accurate cortical surface reconstruction from magnetic resonance imaging (MRI) data is crucial for...

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