The proposed methodology will implement the TensorFlow framework for construction of super resolution MRI (Magnetic resonance image) using convolutional neural network (CNN) in order to minimize loss ...

Deep learning hybrid 3D/2D convolutional neural network for prostate MRI recognition. Authors: Jasper Van, Choongheon Yoon, Justin Glavis-Bloom, Michelle Bardis, Alexander Ushinsky, Daniel S. Chow, ...

CHICAGO, December 01, 2024--GE HealthCare (Nasdaq: GEHC) today unveiled Sonic DL for 3Dii, the newest addition to its effortless imaging portfolio, designed to accelerate MRI scans across a wide ...

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.

The quantitative analysis of intracranial 4D flow MRI, however, still poses several practical challenges due to its complexity and time-consuming manual 3D segmentation required for quantification, ...

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 ...