Radiology

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

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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spina...

Feb 2025 40023741
Deep Learning-Assisted Diagnosis of Malignant Cerebral Edema Following Endovascular Thrombectomy.

BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...

Feb 2025 40023742
Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming.

Ultrasound detection is a potent tool for the clinical diagnosis of various diseases due to its real...

Feb 2025 38598398
GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images.

This study introduces a novel deep learning approach aimed at accurately classifying Gallbladder Can...

Feb 2025 40016258
AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI.

BACKGROUND AND OBJECTIVE: Diffusion models have demonstrated their ability in image generation and s...

Feb 2025 40023963
Living Microalgae-Based Magnetic Microrobots for Calcium Overload and Photodynamic Synergetic Cancer Therapy.

The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offer...

Feb 2025 40012437
T1-weighted MRI-based brain tumor classification using hybrid deep learning models.

Health is fundamental to human well-being, with brain health particularly critical for cognitive fun...

Feb 2025 40016334
Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quali...

Feb 2025 40053787
Machine learning-driven ultrasound radiomics for assessing axillary lymph node burden in breast cancer.

OBJECTIVE: This study explores the value of combining intratumoral and peritumoral radiomics feature...

Feb 2025 40084140
Data-efficient generalization of AI transformers for noise reduction in ultra-fast lung PET scans.

PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...

Feb 2025 40009163
Post-Mortem imaging biobanks: Building data for reproducibility, standardization, and AI integration.

In recent years, post-mortem imaging has advanced with techniques such as Post-Mortem Computed Tomog...

Feb 2025 40031379
Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in...

Feb 2025 40008785
Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study.

BACKGROUND: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on...

Feb 2025 39880078
AI in Breast Cancer Imaging: An Update and Future Trends.

Breast cancer is one of the most common types of cancer affecting women worldwide. Artificial intell...

Feb 2025 40011118
RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.

Accurate identification of molecular subtypes in breast cancer is critical for personalized treatmen...

Feb 2025 39933196
Non-Invasive Biomarkers in the Era of Big Data and Machine Learning.

Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are o...

Feb 2025 40096210
MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach.

The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for ...

Feb 2025 40096246
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