Artificial intelligence: from challenges to clinical implementation

Three artificial intelligence data challenges based on CT and MRI

(2020) N. Lassau et al.   Diagnostic and Interventional Imaging

Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment

(2020) P. Blanc-Durand et al.   Diagnostic and Interventional Imaging

Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

(2020) P. Roca et al.   Diagnostic and Interventional Imaging

Artificial intelligence solution to classify pulmonary nodules on CT

(2020) D. Blanc et al.   Diagnostic and Interventional Imaging

Diagnosis of focal liver lesions from ultrasound using deep learning

(2019) B. Schmauch et al.   Diagnostic and Interventional Imaging

Detection and characterization of MRI breast lesions using deep learning

(2019) P. Herent et al.   Diagnostic and Interventional Imaging

Automatic knee meniscus tear detection and orientation classification with Mask-RCNN

(2019) V. Couteaux et al.   Diagnostic and Interventional Imaging

Artificial intelligence to diagnose meniscus tears on MRI

(2019) V. Roblot et al.   Diagnostic and Interventional Imaging

Detecting abnormal thyroid cartilages on CT using deep learning

(2019) M. Santin et al.   Diagnostic and Interventional Imaging

Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation

(2019) V. Couteaux et al.   Diagnostic and Interventional Imaging

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

(2019) N. Lassau et al.   Diagnostic and Interventional Imaging

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

(2019) Q. Waymel et al.   Diagnostic and Interventional Imaging

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study

(2019) X. Gao et al.   Diagnostic and Interventional Imaging

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation

(2019) S. Park et al.   Diagnostic and Interventional Imaging

Artificial intelligence applications for thoracic imaging

(2019) Guillaume Chassagnon et al.   EUROPEAN JOURNAL OF RADIOLOGY

Deep learning: definition and perspectives for thoracic imaging

(2019) Guillaume Chassagnon et al.   EUROPEAN RADIOLOGY

Radiology and artificial intelligence: An opportunity for our specialty

(2018) J.-P. Beregi et al.   Diagnostic and Interventional Imaging

Convolutional neural network evaluation of over-scanning in lung computed tomography

(2018) M. Colevray et al.   Diagnostic and Interventional Imaging

Radiology: Is its future bright?

(2017) A. Blum et al.   Diagnostic and Interventional Imaging