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 ...

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.

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.

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

GE HealthCare has launched Sonic DL for 3D, the latest addition to its imaging portfolio that aims to expedite magnetic resonance imaging (MRI) scans across various clinical applications.

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 ...