Radiology

Automatic Segmentation of Quadriceps Femoris Cross-Sectional Area in Ultrasound Images: Development and Validation of Convolutional Neural Networks in People With Anterior Cruciate Ligament Injury and Surgery.

OBJECTIVE: Deep learning approaches such as DeepACSA enable automated segmentation of muscle ultraso...

Convolutional neural network classification of ultrasound parametric images based on echo-envelope statistics for the quantitative diagnosis of liver steatosis.

PURPOSE: Early detection and quantitative evaluation of liver steatosis are crucial. Therefore, this...

Generative modeling of the Circle of Willis using 3D-StyleGAN.

The circle of Willis (CoW) is a network of cerebral arteries with significant inter-individual anato...

An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning.

Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between obse...

Accelerated Spine MRI with Deep Learning Based Image Reconstruction: A Prospective Comparison with Standard MRI.

RATIONALE AND OBJECTIVES: To evaluate the performance of deep learning (DL) reconstructed MRI in ter...

Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine.

The rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) in medicine...

Multi-task magnetic resonance imaging reconstruction using meta-learning.

Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquire...

Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis.

Multimodal neuroimaging data, including magnetic resonance imaging (MRI) and positron emission tomog...

Components of Robotic Systems in Image-Guided Percutaneous Interventions.

The field of interventional radiology is facing a growing demand for percutaneous procedures targeti...

Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage.

Remote-controlled and teleoperated robotic systems mark transformative advancements in interventiona...

The Transformative Impact of AI, Extended Reality, and Robotics in Interventional Radiology: Current Trends and Applications.

Interventional Radiology is at the forefront of integrating advanced imaging techniques and minimall...

Role of Robotics in Image-Guided Trans-Arterial Interventions.

The integration of robotic systems in image-guided trans-arterial interventions has revolutionized t...

Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma.

Automating the segmentation of nasopharyngeal carcinoma (NPC) is crucial for therapeutic procedures ...

Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with...

Decoding Glioblastoma Heterogeneity: Neuroimaging Meets Machine Learning.

Recent advancements in neuroimaging and machine learning have significantly improved our ability to ...

Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.

Cancer is a major global health challenge, accounting for nearly one in six deaths worldwide. Early ...

Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data.

The health, safety, and well-being of household pets such as cats has become a challenging task in p...

The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning.

This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging...

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists' and Pathologists' Perspectives.

BACKGROUND: Image-driven specialisms such as radiology and pathology are at the forefront of medical...

Resolution-dependent MRI-to-CT translation for orthotopic breast cancer models using deep learning.

This study aims to investigate the feasibility of utilizing generative adversarial networks (GANs) t...

Artificial Intelligence in Interventional Pain Management: Opportunities, Challenges, and Future Directions.