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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program

A semi-automatic seed point-based method for separation of individual vertebrae in 3D surface meshes: a proof of principle study

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

Augmented Reality Visualization for Image-Guided Surgery: A Validation Study Using a Three-Dimensional Printed Phantom

Automatic Lung Nodule Detection by a Deep Learning-Based CAD System: The Value of Slab Thickness in the Maximum Intensity Projection Technique

Automatic Segmentation of Mandible from Conventional Methods to Deep Learning-A Review

Clinical and Radiologic Predictors of Parastomal Hernia Development After End Colostomy

Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study

Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance

Effects of control temperature, ablation time, and background tissue in radiofrequency ablation of osteoid osteoma: A computer modeling study

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DAME: Deep learning Algorithms for Medical image Evaluation

DAME project

Data control with AI: who’s in charge?

Coverage during ECR 2018 in the daily newspaper

How Radiologists can future-proof themselves by embracing 3D visualization

Radiologists can future-proof themselves by embracing 3D visualization.

EuSoMII: radiologists should actively engage in imaging informatics

8 Must-Attend Sessions at ECR 2017

Why do companies need sensor technology engineers?

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