Radiology

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

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Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?

The advances in artificial intelligence (AI) technology in recent years have been remarkable, and th...

Feb 2025 39992330
An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features.

Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct ...

Feb 2025 39994276
Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning.

Diffusion magnetic resonance imaging (diffusion MRI) is widely employed to probe the diffusive motio...

Feb 2025 39994322
[MP-MRI in the evaluation of non-operative treatment response, for residual and recurrent tumor detection in head and neck cancer].

As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...

Feb 2025 40643447
Intraoperative stenosis detection in X-ray coronary angiography via temporal fusion and attention-based CNN.

BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD), the leading cause of mortality, is caused b...

Feb 2025 40081144
AI for image quality and patient safety in CT and MRI.

Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) soluti...

Feb 2025 39987533
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...

Feb 2025 40022854
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Chest computed tomography (CT) scans are essential for accurately assessing the severity of the nove...

Feb 2025 39987169
Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts.

BACKGROUND/OBJECTIVE: Longitudinal in vivo studies of murine xenograft models are widely utilized in...

Feb 2025 40137561
Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but...

Feb 2025 39981660
Incorporating indirect MRI information in a CT-based deep learning model for prostate auto-segmentation.

BACKGROUND AND PURPOSE: Computed tomography (CT) imaging poses challenges for delineation of soft ti...

Feb 2025 39988305
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling.

The integration of diverse clinical modalities such as medical imaging and the tabular data extracte...

Feb 2025 40037055
Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell c...

Feb 2025 39984860
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study.

BACKGROUND: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPE...

Feb 2025 39976703
Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

The prevalence of coronary artery disease (CAD) has become the major cause of death across the world...

Feb 2025 39979546
T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study.

PURPOSE: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fas...

Feb 2025 39976552
Intuitive Human-Artificial Intelligence Theranostic Complementarity.

Deep learning artificial intelligence (AI) algorithms are poised to subsume diagnostic imaging speci...

Feb 2025 39973351
A multi-task self-supervised approach for mass detection in automated breast ultrasound using double attention recurrent residual U-Net.

Breast cancer is the most common and lethal cancer among women worldwide. Early detection using medi...

Feb 2025 39983360
Robust Myocardial Perfusion MRI Quantification With DeepFermi.

Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing th...

Feb 2025 39441677
Development of a Machine-Learning Algorithm to Identify Cauda Equina Compression on Magnetic Resonance Imaging Scans.

OBJECTIVE: Cauda equina syndrome (CES) poses significant neurological risks if untreated. Diagnosis ...

Feb 2025 39826832
Assessment of breast composition in MRI using artificial intelligence - A systematic review.

INTRODUCTION: Magnetic Resonance Imaging (MRI) performs a critical role in breast cancer diagnosis, ...

Feb 2025 39983661
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