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.

Ultimaker is contributing to a program called REshape by producting 3D printed models of MRI and CT scans for those with brain tumors.

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.

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.

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

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 ...