Chakrabarty, S., et al. (2021) MRI-based identification and classification of major intracranial tumor types using a 3D convolutional neural network: A retrospective multi-institutional analysis.

MRI-based 3D models of the hip joint had excellent correlation with and may replace CT-based 3D models for both diagnostic parameters and range of motion values in patients with femoroacetabular ...

GE HealthCare’s ongoing investment in deep learning technologies, available for both in-field MR upgrades and new installations, supports its vision of sustainable and equitable MR access.

A novel artificial intelligence approach can generate 3D brain MRI images using semantic segmentation masks, offering a breakthrough in medical image synthesis and privacy protection.

To develop a fully automated tracking method, we developed a convolutional neural network for particle localization from image data, comprising over 6,000 parameters, and used machine learning ...