1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 1 cited
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas
Zach Eidex, Mojtaba Safari, Jacob Wynne +6
Purpose: Apparent diffusion coefficient (ADC) maps derived from diffusion weighted (DWI) MRI provides functional measurements about the water molecules in tissues. However, DWI is…
physics.med-ph2023
High-resolution 3T to 7T MRI Synthesis with a Hybrid CNN-Transformer Model
Zach Eidex, Jing Wang, Mojtaba Safari +6
7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC…
physics.med-ph2023★ 1 cited
Artificial Intelligence-based Motion Tracking in Cancer Radiotherapy: A Review
Elahheh Salari, Jing Wang, Jacob Wynne +2
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk (OARs). Increasingly complex treatment techniques such as volumetric modulated…